├── .gitignore
├── Makefile
├── README.md
├── adaptive_boxes.cu
├── data
    ├── README.md
    ├── boston12.csv
    ├── complex11.csv
    ├── hall10.csv
    ├── squares.csv
    └── theatre12.csv
├── include
    ├── csv_tools.h
    ├── cuda_call.h
    ├── getters.h
    ├── io_tools.h
    ├── random_generator.h
    ├── rectangle.h
    ├── rectangular_explorer_kernel.h
    └── rectangular_remover_kernel.h
├── log_tools
    ├── logs
    │   ├── log_boston12.csv_1
    │   ├── log_boston12.csv_10
    │   ├── log_boston12.csv_100
    │   ├── log_boston12.csv_600:
    │   ├── log_complex11.csv_1
    │   ├── log_complex11.csv_10
    │   ├── log_complex11.csv_100
    │   ├── log_complex11.csv_600:
    │   ├── log_hall10.csv_1
    │   ├── log_hall10.csv_10
    │   ├── log_hall10.csv_100
    │   ├── log_hall10.csv_600:
    │   ├── log_theatre12.csv_1
    │   ├── log_theatre12.csv_10
    │   ├── log_theatre12.csv_100
    │   └── log_theatre12.csv_600:
    └── record.sh
└── test
    ├── Makefile
    ├── hall10.h
    ├── test
    └── test_getters.cu


/.gitignore:
--------------------------------------------------------------------------------
1 | /*data/*/
2 | adabox
3 | results/
4 | third_party/
5 | 


--------------------------------------------------------------------------------
/Makefile:
--------------------------------------------------------------------------------
1 | all:
2 | 	nvcc -O3 --std=c++11  adaptive_boxes.cu -o adabox
3 | 


--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
 1 | # adaptive-boxes-gpu :zap: :package: 
 2 | 
 3 | <img src="https://i.imgur.com/YokPxyw.png" width="400">
 4 | 
 5 | GPU-accelerated rectangular decomposition for sound propagation modeling in 2D. [![Article](https://img.shields.io/badge/ieee-article-blue.svg)](https://ieeexplore.ieee.org/document/8966434)
 6 | 
 7 | 
 8 | ## Samples
 9 | 
10 | High resolution images! Click over any image to see the rectangular decomposition's details.
11 | 
12 | 
13 | ### Scene 1
14 | 
15 | 
16 | 
17 | <img src="https://imgur.com/2KAW9Ha.jpg" width="800">
18 | 
19 | 
20 | 
21 | <img src="https://imgur.com/hABkX4i.jpg" width="800">
22 | 
23 | ### Scene 2
24 | 
25 | 
26 | 
27 | <img src="https://imgur.com/LJmxu24.jpg" width="800">
28 | 
29 | 
30 | 
31 | <img src="https://imgur.com/2IsC04x.jpg" width="800">
32 | 
33 | 
34 | ### Scene 3
35 | 
36 | 
37 | 
38 | <img src="https://imgur.com/dfbjjPf.jpg" width="800">
39 | 
40 | 
41 | 
42 | <img src="https://imgur.com/GHRFJyJ.jpg" width="800">
43 | 
44 | 
45 | ## Usage Guide
46 | 
47 | ### Requirements
48 | - CUDA 9.0
49 | - Thrust parallel template library
50 | - CuRand
51 | 
52 | ### Basics
53 | First compile the `adaptive_boxes.cu` script. Just do `make`.
54 | 
55 | Run `./adabox` with the following arguments: 
56 | - [1] input file (binary matrix in .csv) 
57 | - [2] output file (list of rectangles in .csv) 
58 | - [3] n (# of tests = n x n)
59 | 
60 | ### Input file
61 | The input should be a `.csv` file which contains the matrix size and the binary matrix data. 
62 | Some samples are located in `data` folder. As a simple example see `squares.csv`.
63 | 
64 | ### Output file
65 | A list of resulting rectangles in a `.csv` file. 
66 | Data is given in the format: `[x1 x2 y1 y2]` (Two points rectangle location).
67 | 
68 | ## Performance Test
69 | 
70 | Execution time in seconds:
71 | 
72 | 
73 | | # of parallel searches `[n]` |    Scene 1    |   Scene 2    |   Scene 3    |
74 | |------------------------|--------|--------|--------|
75 | | 2400 |  3.1 |  2.6 |  2 | 
76 | 
77 | Tests were performed using a GPU NVIDIA Tesla V100.
78 | 
79 | ## Extra info
80 | 
81 | ### How does it work? Why sound propagation modeling?
82 | 
83 | Adaptive Rectangular Decomposition (ARD) is an efficient technique for modeling the sound propagation. This technique reduces the computational overhead and memory requirements by using non-dispersive sub-rectangular domains suitable for parallel computation. In order to use this technique, the scene should be decomposed into large inscribed rectangles. For large and complex scenes, it is not feasible to find an optimal set of large rectangles and thus an approximation should be used. In this paper, we present a GPU-accelerated algorithm for searching an adequate rectangular decomposition of a 2D scene in a reasonable time. Our algorithm performs a fast parallel search in the entire domain. As a result, large and complex scenes can be decomposed in seconds and it enables them to be numerically modeled in parallel using ARD.
84 | 
85 | More info: [GPU-accelerated rectangular decomposition for sound propagation modeling in 2D](https://ieeexplore.ieee.org/document/8966434).
86 | 
87 | ### How to plot the `.csv` results?
88 | Use `adaptive-boxes` python library:
89 |   
90 |     pip install adaptive-boxes
91 |   
92 | See here [adabox](https://github.com/jnfran92/adaptive-boxes).
93 | 


--------------------------------------------------------------------------------
/adaptive_boxes.cu:
--------------------------------------------------------------------------------
  1 | 
  2 | #include <stdlib.h>
  3 | #include <iostream>
  4 | // thrust
  5 | #include <thrust/host_vector.h>
  6 | #include <thrust/device_vector.h>
  7 | #include <thrust/reduce.h>
  8 | #include <thrust/copy.h>
  9 | //STL
 10 | #include <vector>
 11 | // cuda call
 12 | #include "./include/cuda_call.h"
 13 | // kernels
 14 | #include "./include/rectangular_explorer_kernel.h"
 15 | #include "./include/rectangular_remover_kernel.h"
 16 | // rectangle struct
 17 | #include "./include/rectangle.h"
 18 | // csv
 19 | #include "./include/csv_tools.h"
 20 | #include "./include/io_tools.h"
 21 | 
 22 | 
 23 | int main(int argc, char *argv[]){
 24 | 	printf("adaptive-boxes-gpu\n");
 25 | 	printf("GPU-accelerated rectangular decomposition for sound propagation modeling\n");
 26 | 
 27 | 	if (argc < 4){
 28 | 		printf("Error Args: 4 Needed \n[1]input file(binary matrix in .csv)\n[2]output file(list of rectangles in .csv) \n[3]n (# of tests = n*n)\n");
 29 | 		return 0;
 30 | 	}
 31 | 
 32 | 	// Arguments
 33 | 	std::string input_file_name = argv[1];
 34 | 	std::string output_file_name = argv[2];
 35 | 	int n_tests = atoi(argv[3]);
 36 | 
 37 | 
 38 | //	 Reading data
 39 |     printf("Reading Data...\n");
 40 |     std::cout << "reading: " << input_file_name << std::endl;
 41 | 
 42 |     csv_data_t csv_data;
 43 |     read_numerical_csv(input_file_name, false, csv_data);
 44 | //    csv_data.print_data();
 45 | 
 46 | 	long m = csv_data.m;
 47 | 	long n = csv_data.n;
 48 |     int *data = &csv_data.data_vec[0];
 49 | 	printf("Data on Memory: Data size: m %ld , n% ld\n",m, n);
 50 | 	
 51 | 	// CUDA timers
 52 | 	cudaEvent_t start, stop;
 53 | 	cudaEventCreate(&start);
 54 | 	cudaEventCreate(&stop);
 55 | 
 56 | 	// Rectangles vector
 57 | 	std::vector<rectangle_t> recs;
 58 | 
 59 | 	// CUDA
 60 | 	int grid_x = n_tests; // fixed
 61 | 	int grid_y = n_tests; //
 62 | 	printf("Number of tests: %d \n",grid_x*grid_y);
 63 | 	
 64 | 	// GPU data
 65 | 	int *data_d;
 66 | 	int *areas_d;
 67 | 	int *out_d;
 68 | 
 69 | 	// Thrust Data
 70 | 	thrust::device_vector<int> t_data_d(m*n);	
 71 | 	data_d = thrust::raw_pointer_cast(&t_data_d[0]);
 72 | 
 73 | 	thrust::device_vector<int> t_areas_d(grid_x*grid_y);
 74 | 	areas_d = thrust::raw_pointer_cast(&t_areas_d[0]);
 75 | 
 76 | 	thrust::device_vector<int> t_out_d(grid_x*grid_y*4);
 77 | 	out_d = thrust::raw_pointer_cast(&t_out_d[0]);	
 78 | 	
 79 | 	// Copy data to device memory
 80 | 	cudaMemcpy(data_d, data, sizeof(int)*m*n, cudaMemcpyHostToDevice);
 81 | 	
 82 | 	// Grid and Block size
 83 | 	dim3 grid(grid_x, grid_y, 1);
 84 | 	dim3 block(4, 1, 1); // fixed size
 85 | 	
 86 | 	// Init algorithm -----------------------
 87 | 	cudaEventRecord(start);
 88 | 	// Setup cuRand
 89 | 	curandState *devStates;
 90 | 	CC(cudaMalloc((void **)&devStates, grid_x*grid_y*sizeof(unsigned int)));
 91 | 	
 92 | 	setup_kernel<<<grid, block>>>(devStates);
 93 | 	cudaDeviceSynchronize();
 94 | 
 95 | 	// Loop
 96 | 	printf("Working...\n");
 97 | 	rectangle_t rec;
 98 | 	int max_step = 999999;
 99 | 	int sum;
100 | 	
101 | 	// init last sum
102 | 	int last_sum = thrust::reduce(t_data_d.begin(), t_data_d.end());
103 | 	
104 | 	int last_x1 = -1;
105 | 	int last_x2 = -1;
106 | 	int last_y1 = -1;
107 | 	int last_y2 = -1;
108 | 	
109 | 	int x1,x2,y1,y2;
110 | 
111 | 	for (int step=0; step<max_step; step++){
112 | 		find_largest_rectangle<<<grid,block>>>(devStates,m,n,data_d,out_d, areas_d);
113 | 		cudaDeviceSynchronize();
114 | 		
115 | 		thrust::device_vector<int>::iterator iter = thrust::max_element(t_areas_d.begin(), t_areas_d.end());
116 | 		unsigned int position = iter - t_areas_d.begin();
117 | 		int max_val = *iter; 
118 | 			
119 | 		if (max_val==0){
120 | 			continue;
121 | 		}
122 | 
123 | 		x1 = t_out_d[position*4 + 0];  
124 | 		x2 = t_out_d[position*4 + 1];  
125 | 		y1 = t_out_d[position*4 + 2];  
126 | 		y2 = t_out_d[position*4 + 3];  
127 | 
128 | 
129 | 		if (!((last_x1==x1) & (last_x2==x2) & (last_y1==y1) & (last_y2==y2)) ){
130 | 			int dist_y = (y2 - y1) + 1;
131 | 			int dist_x = (x2 - x1) + 1;
132 | 			int x_blocks = (int)ceil((double)dist_x/2.0);
133 | 			int y_blocks = (int)ceil((double)dist_y/2.0);
134 | 			
135 | 			dim3 tmp_block(2, 2, 1);
136 | 			dim3 tmp_grid(x_blocks, y_blocks, 1);
137 | 
138 | 			remove_rectangle_from_matrix<<<tmp_grid, tmp_block>>>(x1,x2,y1,y2, data_d, m, n);
139 | 			cudaDeviceSynchronize();
140 | 			
141 | 			sum = thrust::reduce(t_data_d.begin(), t_data_d.end());
142 | 			
143 | 			if(sum < last_sum){
144 | 				rec.x1 = x1;
145 | 				rec.x2 = x2;
146 | 				rec.y1 = y1;
147 | 				rec.y2 = y2;
148 | 				recs.push_back(rec);
149 | 			}
150 | 			
151 | 			/*printf("sum = %d\n", sum);			*/
152 | 
153 | 			last_sum = sum;
154 | 			if(sum<=0){
155 | 				break;
156 | 			}
157 | 			
158 | 			last_x1 = x1;
159 | 			last_x2 = x2;
160 | 			last_y1 = y1;
161 | 			last_y2 = y2;	
162 | 		}
163 | 	}
164 | 
165 | 	cudaEventRecord(stop);
166 | 	cudaEventSynchronize(stop);
167 | 	float milliseconds = 0;
168 | 	cudaEventElapsedTime(&milliseconds, start, stop);
169 | 	printf("Decomposition ready!!\n");
170 | 	printf("-->Elapsed time: %f\n", milliseconds);
171 | 	printf("-->Last sum %d\n",sum);
172 | 	
173 | 	
174 | 	/*Saving data in csv format*/
175 | 	std::cout << "Saving rectagles -  total amount of rectangles: "<< recs.size() << std::endl;
176 | 	save_rectangles_in_csv(output_file_name, &recs);	
177 | 	
178 | 	// Free memory
179 | 	cudaFree(devStates);
180 | 	/*delete data;*/
181 | 
182 | 	return 0;
183 | }
184 | 


--------------------------------------------------------------------------------
/data/README.md:
--------------------------------------------------------------------------------
 1 | # Data Sample
 2 | Data should be a binary matrix, that's all!
 3 | For instance, see `squares.csv` which represents a rectangular rasterized shape.
 4 | 
 5 |     0,0,0,0,1,1,1,1,1,1,0,0,0,0,0,0
 6 |     0,0,0,0,1,1,1,1,1,1,0,0,0,0,0,0
 7 |     0,0,0,0,1,1,1,1,1,1,0,0,0,0,0,0
 8 |     0,0,0,0,1,1,1,1,1,1,0,0,0,0,0,0
 9 |     0,0,0,0,1,1,1,1,1,1,0,0,0,0,0,0
10 |     0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1
11 |     0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1
12 |     0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1
13 |     0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1
14 |     0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1
15 |     1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
16 |     1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0
17 |     
18 |  


--------------------------------------------------------------------------------
/data/squares.csv:
--------------------------------------------------------------------------------
 1 | 0,0,0,0,1,1,1,1,1,1,0,0,0,0,0,0
 2 | 0,0,0,0,1,1,1,1,1,1,0,0,0,0,0,0
 3 | 0,0,0,0,1,1,1,1,1,1,0,0,0,0,0,0
 4 | 0,0,0,0,1,1,1,1,1,1,0,0,0,0,0,0
 5 | 0,0,0,0,1,1,1,1,1,1,0,0,0,0,0,0
 6 | 0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1
 7 | 0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1
 8 | 0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1
 9 | 0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1
10 | 0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1
11 | 1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
12 | 1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0


--------------------------------------------------------------------------------
/include/csv_tools.h:
--------------------------------------------------------------------------------
 1 | //
 2 | // Created by Juan Francisco on 2020-02-05.
 3 | //
 4 | 
 5 | #ifndef BOOSTED_ARD_IO_TOOLS_H
 6 | #define BOOSTED_ARD_IO_TOOLS_H
 7 | 
 8 | #include <stdlib.h>
 9 | #include <stdio.h>
10 | #include <fstream>
11 | #include <string>
12 | #include <vector>
13 | #include <algorithm>
14 | #include <iostream>
15 | #include <boost/algorithm/string.hpp>
16 | 
17 | 
18 | // Reading data in csv
19 | struct csv_data_t{
20 |     std::vector<int> data_vec;
21 |     std::string header;
22 |     long m{};
23 |     long n{};
24 | 
25 |     double get(int i, int j){
26 |         return data_vec[i*n + j];
27 |     }
28 | 
29 |     int get_int(int i, int j){
30 |         return static_cast<int>(data_vec[i * n + j]);
31 |     }
32 | 
33 |     void print_data(){
34 |         std::cout<< "HEADER: " << header << std::endl;
35 |         std::cout << "m " << m << " n " << n << std::endl;
36 |         std::cout << "data: " << std::endl;
37 |         for (auto i=0; i<m; i++){
38 |             for (auto j=0; j<n; j++){
39 |                 std::cout << data_vec[i*n + j] << " ";
40 |             }
41 |             std::cout<<std::endl;
42 |         }
43 |     }
44 | };
45 | 
46 | 
47 | /**
48 |  * Read CSV. File could include headers but it must be composed only of numerical data stored in double format.
49 |  */
50 | void read_numerical_csv(const std::string &file_name, bool has_header, csv_data_t &csv_data){
51 | 
52 |     long m = 0;
53 |     long n = 0;
54 |     long counter = 0;
55 | 
56 |     std::ifstream file(file_name);
57 |     std::string str;
58 | 
59 |     // Getting first line
60 |     std::getline(file, str);
61 |     std::vector<std::string> vec_first;
62 |     boost::algorithm::split(vec_first, str, boost::is_any_of(","));
63 | 
64 |     n = vec_first.size();
65 |     csv_data.n = n;
66 | 
67 |     if (!has_header){
68 |         for(const std::string &data : vec_first) {
69 |             csv_data.data_vec.push_back(std::stoi(data));
70 |         }
71 |         counter++;
72 |     }else{
73 |         csv_data.header = str;
74 |     }
75 | 
76 |     while (std::getline(file, str)){
77 |         std::vector<std::string> vec;
78 |         boost::algorithm::split(vec, str, boost::is_any_of(","));
79 |         if(vec.size() != n){
80 |             throw 0;    // CSV Data are not homogeneous, size of each row is different.
81 |         }
82 |         for(const std::string &data : vec){
83 |             csv_data.data_vec.push_back(std::stoi( data ));
84 |         }
85 |         counter++;
86 |     }
87 | 
88 |     m = counter;
89 |     csv_data.m = m;
90 | }
91 | 
92 | 
93 | #endif //BOOSTED_ARD_IO_TOOLS_H
94 | 


--------------------------------------------------------------------------------
/include/cuda_call.h:
--------------------------------------------------------------------------------
1 | 
2 | #define CC(x) do { if((x) != cudaSuccess) { \
3 | 	      printf("Error at %s:%d\n",__FILE__,__LINE__); \
4 | 	      return EXIT_FAILURE;}} while(0)
5 | 
6 | 


--------------------------------------------------------------------------------
/include/getters.h:
--------------------------------------------------------------------------------
  1 | 
  2 | #include "stdio.h"
  3 | #include "stdlib.h"
  4 | 
  5 | // ng: New Getters Optimized
  6 | namespace ng{
  7 | 	
  8 | 	__device__ __host__ int get_bottom_distance(int idx_i_arg, int idx_j_arg, int n_arg, int lim, int *data_matrix_arg){
  9 | 		int di =0;
 10 | 		int temp_val = 0;
 11 | 		for (int i=idx_i_arg; i<lim; i++){
 12 | 			temp_val = data_matrix_arg[i * n_arg + idx_j_arg];
 13 | 			if(temp_val == 0){
 14 | 				break;
 15 | 			}
 16 | 			di++;	
 17 | 		}
 18 | 		return di;
 19 | 	}
 20 | 
 21 | 	__device__ __host__ int get_top_distance(int idx_i_arg, int idx_j_arg, int n_arg, int lim, int *data_matrix_arg){
 22 | 		int di = 0;
 23 | 		int temp_val = 0;
 24 | 		for (int i=idx_i_arg; i>lim; i--){
 25 | 			temp_val = data_matrix_arg[i * n_arg + idx_j_arg];
 26 | 			if(temp_val == 0){
 27 | 				break;
 28 | 			}	
 29 | 			di++;
 30 | 		}
 31 | 		return di;
 32 | 	}
 33 | 	
 34 | 	// results matrix: [x1 x2 y1 y2]
 35 | 	__device__ __host__ void get_right_bottom_rectangle(int idx_i_arg, int idx_j_arg, long m_arg, long n_arg, int *data_matrix_arg, int *results){
 36 | 
 37 | 		int x1_val = 0;
 38 | 		int x2_val = 0;
 39 | 		int y1_val = 0;
 40 | 		int y2_val = 0;
 41 | 
 42 | 		int d0, dj;
 43 | 		
 44 | 		d0 = get_bottom_distance( idx_i_arg, idx_j_arg, n_arg,  m_arg, data_matrix_arg);
 45 | 
 46 | 		dj = 0;
 47 | 		for (int j=idx_j_arg + 1; j<n_arg; j++){
 48 | 			int di = get_bottom_distance(idx_i_arg, j, n_arg, idx_i_arg + d0, data_matrix_arg);
 49 | 			if (di < d0){
 50 | 				break;
 51 | 			}
 52 | 			dj++;
 53 | 		}
 54 | 		
 55 | 		x1_val = idx_j_arg;
 56 | 		y1_val = idx_i_arg;
 57 | 		x2_val =  idx_j_arg + dj;
 58 | 		y2_val =  idx_i_arg + d0 - 1;
 59 | 
 60 | 		results[0] = x1_val;
 61 | 		results[1] = x2_val;
 62 | 		results[2] = y1_val;
 63 | 		results[3] = y2_val;
 64 | 
 65 | 	}
 66 | 
 67 | 
 68 | 
 69 | 	__device__ __host__ void get_left_bottom_rectangle(int idx_i_arg, int idx_j_arg, long m_arg, long n_arg, int *data_matrix_arg, int *results){
 70 | 
 71 | 		
 72 | 		int x1_val = 0;
 73 | 		int x2_val = 0;
 74 | 		int y1_val = 0;
 75 | 		int y2_val = 0;
 76 | 
 77 | 
 78 | 		int d0,dj;
 79 | 		
 80 | 		d0 = get_bottom_distance( idx_i_arg, idx_j_arg, n_arg, m_arg, data_matrix_arg);
 81 | 		dj = 0;
 82 | 		for (int j=idx_j_arg - 1; j>=0; j--){
 83 | 			
 84 | 			int di = get_bottom_distance( idx_i_arg, j, n_arg, idx_i_arg + d0, data_matrix_arg);
 85 | 
 86 | 			if (di < d0){
 87 | 				break;
 88 | 			}
 89 | 			dj++;
 90 | 		}
 91 | 		
 92 | 		x1_val = idx_j_arg;
 93 | 		y1_val = idx_i_arg;
 94 | 		x2_val = idx_j_arg - dj;
 95 | 		y2_val = idx_i_arg + d0 - 1;
 96 | 
 97 | 		
 98 | 		results[0] = x1_val;
 99 | 		results[1] = x2_val;
100 | 		results[2] = y1_val;
101 | 		results[3] = y2_val;
102 | 	}
103 | 
104 | 
105 | 	
106 | 	__device__ __host__ void get_left_top_rectangle(int idx_i_arg, int idx_j_arg, long n_arg, int *data_matrix_arg, int *results){
107 | 
108 | 		
109 | 		int x1_val = 0;
110 | 		int x2_val = 0;
111 | 		int y1_val = 0;
112 | 		int y2_val = 0;
113 | 
114 | 
115 | 		int d0, dj;
116 | 		
117 | 		d0 = get_top_distance( idx_i_arg, idx_j_arg, n_arg, -1, data_matrix_arg);
118 | 		dj = 0;
119 | 		for (int j=idx_j_arg - 1; j>-1; j--){
120 | 			
121 | 			int di = get_top_distance( idx_i_arg, j, n_arg, idx_i_arg - d0, data_matrix_arg);
122 | 			if (di < d0){
123 | 				break;
124 | 			}
125 | 			dj++;
126 | 		}
127 | 		
128 | 		x1_val = idx_j_arg;
129 | 		y1_val = idx_i_arg;
130 | 		x2_val = idx_j_arg - dj;
131 | 		y2_val = idx_i_arg - d0 + 1;
132 | 
133 | 
134 | 		results[0] = x1_val;
135 | 		results[1] = x2_val;
136 | 		results[2] = y1_val;
137 | 		results[3] = y2_val;
138 | 	}
139 | 
140 | 
141 | 	__device__ __host__ void get_right_top_rectangle(int idx_i_arg, int idx_j_arg, long n_arg, int *data_matrix_arg, int *results){
142 | 
143 | 		
144 | 		int x1_val = 0;
145 | 		int x2_val = 0;
146 | 		int y1_val = 0;
147 | 		int y2_val = 0;
148 | 
149 | 
150 | 		int d0, dj;
151 | 		
152 | 		d0 = get_top_distance( idx_i_arg, idx_j_arg, n_arg, -1, data_matrix_arg);
153 | 		dj = 0;
154 | 		for (int j=idx_j_arg + 1; j<n_arg; j++){
155 | 			int di = get_top_distance( idx_i_arg, j, n_arg, idx_i_arg - d0, data_matrix_arg);
156 | 			if (di < d0){
157 | 				break;
158 | 			}
159 | 			dj++;
160 | 		}
161 | 		
162 | 		x1_val = idx_j_arg;
163 | 		y1_val = idx_i_arg;
164 | 		x2_val = idx_j_arg + dj;
165 | 		y2_val = idx_i_arg - d0 + 1;
166 | 
167 | 
168 | 		results[0] = x1_val;
169 | 		results[1] = x2_val;
170 | 		results[2] = y1_val;
171 | 		results[3] = y2_val;
172 | 	}
173 | }
174 | 
175 | // old getters, not optimizaed
176 | namespace og{
177 | 	// results matrix: [x1 x2 y1 y2]
178 | 	__device__ __host__ void get_right_bottom_rectangle(int idx_i_arg, int idx_j_arg, long m_arg, long n_arg, int *data_matrix_arg, int *results){
179 | 
180 | 		int step_j = 0;
181 | 		int first_step_i = 0;
182 | 
183 | 		int i_val = 0;
184 | 		int j_val = 0;
185 | 		int temp_val = 0;
186 | 		int step_i = 0;
187 | 		
188 | 		int x1_val = 0;
189 | 		int x2_val = 0;
190 | 		int y1_val = 0;
191 | 		int y2_val = 0;
192 | 
193 | 
194 | 		while (true){
195 | 			i_val = idx_i_arg;
196 | 			j_val = idx_j_arg + step_j;
197 | 
198 | 			if(j_val == n_arg){
199 | 				break;
200 | 			}
201 | 
202 | 			temp_val = data_matrix_arg[i_val * n_arg + j_val];
203 | 			if (temp_val == 0){
204 | 				break;
205 | 			}
206 | 
207 | 			step_i = 0;
208 | 
209 | 			while (true){
210 | 				i_val = idx_i_arg + step_i;
211 | 
212 | 				if (i_val == m_arg){
213 | 					break;
214 | 				}
215 | 
216 | 				temp_val = data_matrix_arg[i_val * n_arg + j_val];
217 | 
218 | 				if(temp_val == 0){
219 | 					break;
220 | 				}
221 | 				step_i++;
222 | 			}
223 | 
224 | 
225 | 			if (step_j == 0){
226 | 				first_step_i = step_i;
227 | 			}else{
228 | 				if(step_i < first_step_i){
229 | 					break;
230 | 				}
231 | 			}
232 | 			step_j++;
233 | 		}
234 | 
235 | 		x1_val = idx_j_arg;
236 | 		y1_val = idx_i_arg;
237 | 		x2_val = idx_j_arg + step_j - 1;
238 | 		y2_val = idx_i_arg + first_step_i - 1;
239 | 
240 | 		//printf("x1 %d   x2 %d    y1 %d    y2 %d\n", x1_val, x2_val, y1_val, y2_val);
241 | 
242 | 		results[0] = x1_val;
243 | 		results[1] = x2_val;
244 | 		results[2] = y1_val;
245 | 		results[3] = y2_val;
246 | 
247 | 	}
248 | 
249 | 
250 | 	__device__ __host__ void get_left_bottom_rectangle(int idx_i_arg, int idx_j_arg, long m_arg, long n_arg, int *data_matrix_arg, int *results){
251 | 
252 | 		int step_j = 0;
253 | 		int first_step_i = 0;
254 | 
255 | 		int i_val = 0;
256 | 		int j_val = 0;
257 | 		int temp_val = 0;
258 | 		int step_i = 0;
259 | 		
260 | 		int x1_val = 0;
261 | 		int x2_val = 0;
262 | 		int y1_val = 0;
263 | 		int y2_val = 0;
264 | 
265 | 
266 | 		while (true){
267 | 			i_val = idx_i_arg;
268 | 			j_val = idx_j_arg - step_j;
269 | 
270 | 			if(j_val == -1){
271 | 				break;
272 | 			}
273 | 
274 | 			temp_val = data_matrix_arg[i_val * n_arg + j_val];
275 | 			if (temp_val == 0){
276 | 				break;
277 | 			}
278 | 
279 | 			step_i = 0;
280 | 			while (true){
281 | 				i_val = idx_i_arg + step_i;
282 | 
283 | 				if (i_val == m_arg){
284 | 					break;
285 | 				}
286 | 
287 | 				temp_val = data_matrix_arg[i_val * n_arg + j_val];
288 | 
289 | 				if(temp_val == 0){
290 | 					break;
291 | 				}
292 | 				step_i++;
293 | 			}
294 | 
295 | 
296 | 			if (step_j == 0){
297 | 				first_step_i = step_i;
298 | 			}else{
299 | 				if(step_i < first_step_i){
300 | 					break;
301 | 				}
302 | 			}
303 | 			step_j++;
304 | 		}
305 | 
306 | 		x1_val = idx_j_arg;
307 | 		y1_val = idx_i_arg;
308 | 		x2_val = idx_j_arg - step_j + 1;
309 | 		y2_val = idx_i_arg + first_step_i - 1;
310 | 
311 | 		//printf("x1 %d   x2 %d    y1 %d    y2 %d\n", x1_val, x2_val, y1_val, y2_val);
312 | 		
313 | 		results[0] = x1_val;
314 | 		results[1] = x2_val;
315 | 		results[2] = y1_val;
316 | 		results[3] = y2_val;
317 | 	}
318 | 
319 | 
320 | 	__device__ __host__ void get_left_top_rectangle(int idx_i_arg, int idx_j_arg, long n_arg, int *data_matrix_arg, int *results){
321 | 
322 | 		int step_j = 0;
323 | 		int first_step_i = 0;
324 | 
325 | 		int i_val = 0;
326 | 		int j_val = 0;
327 | 		int temp_val = 0;
328 | 		int step_i = 0;
329 | 		
330 | 		int x1_val = 0;
331 | 		int x2_val = 0;
332 | 		int y1_val = 0;
333 | 		int y2_val = 0;
334 | 
335 | 
336 | 		while (true){
337 | 			i_val = idx_i_arg;
338 | 			j_val = idx_j_arg - step_j;
339 | 
340 | 			if(j_val == -1){
341 | 				break;
342 | 			}
343 | 
344 | 			temp_val = data_matrix_arg[i_val * n_arg + j_val];
345 | 			if (temp_val == 0){
346 | 				break;
347 | 			}
348 | 
349 | 			step_i = 0;
350 | 			while (true){
351 | 				i_val = idx_i_arg - step_i;
352 | 
353 | 				if (i_val == -1){
354 | 					break;
355 | 				}
356 | 
357 | 				temp_val = data_matrix_arg[i_val * n_arg + j_val];
358 | 
359 | 				if(temp_val == 0){
360 | 					break;
361 | 				}
362 | 				step_i++;
363 | 			}
364 | 
365 | 
366 | 			if (step_j == 0){
367 | 				first_step_i = step_i;
368 | 			}else{
369 | 				if(step_i < first_step_i){
370 | 					break;
371 | 				}
372 | 			}
373 | 			step_j++;
374 | 		}
375 | 
376 | 		x1_val = idx_j_arg;
377 | 		y1_val = idx_i_arg;
378 | 		x2_val = idx_j_arg - step_j + 1;
379 | 		y2_val = idx_i_arg - first_step_i + 1;
380 | 
381 | 		//printf("x1 %d   x2 %d    y1 %d    y2 %d\n", x1_val, x2_val, y1_val, y2_val);
382 | 
383 | 		results[0] = x1_val;
384 | 		results[1] = x2_val;
385 | 		results[2] = y1_val;
386 | 		results[3] = y2_val;
387 | 	}
388 | 
389 | 
390 | 	__device__ __host__ void get_right_top_rectangle(int idx_i_arg, int idx_j_arg, long n_arg, int *data_matrix_arg, int *results){
391 | 
392 | 		int step_j = 0;
393 | 		int first_step_i = 0;
394 | 
395 | 		int i_val = 0;
396 | 		int j_val = 0;
397 | 		int temp_val = 0;
398 | 		int step_i = 0;
399 | 		
400 | 		int x1_val = 0;
401 | 		int x2_val = 0;
402 | 		int y1_val = 0;
403 | 		int y2_val = 0;
404 | 
405 | 
406 | 		while (true){
407 | 			i_val = idx_i_arg;
408 | 			j_val = idx_j_arg + step_j;
409 | 
410 | 			if(j_val == n_arg){
411 | 				break;
412 | 			}
413 | 
414 | 			temp_val = data_matrix_arg[i_val * n_arg + j_val];
415 | 			if (temp_val == 0){
416 | 				break;
417 | 			}
418 | 
419 | 			step_i = 0;
420 | 
421 | 			while (true){
422 | 				i_val = idx_i_arg - step_i;
423 | 
424 | 				if (i_val == -1){
425 | 					break;
426 | 				}
427 | 
428 | 				temp_val = data_matrix_arg[i_val * n_arg + j_val];
429 | 
430 | 				if(temp_val == 0){
431 | 					break;
432 | 				}
433 | 				step_i++;
434 | 			}
435 | 
436 | 
437 | 			if (step_j == 0){
438 | 				first_step_i = step_i;
439 | 			}else{
440 | 				if(step_i < first_step_i){
441 | 					break;
442 | 				}
443 | 			}
444 | 			step_j++;
445 | 		}
446 | 
447 | 		x1_val = idx_j_arg;
448 | 		y1_val = idx_i_arg;
449 | 		x2_val = idx_j_arg + step_j - 1;
450 | 		y2_val = idx_i_arg - first_step_i + 1;
451 | 
452 | 		//printf("x1 %d   x2 %d    y1 %d    y2 %d\n", x1_val, x2_val, y1_val, y2_val);
453 | 
454 | 		results[0] = x1_val;
455 | 		results[1] = x2_val;
456 | 		results[2] = y1_val;
457 | 		results[3] = y2_val;
458 | 	}
459 | }
460 | 
461 | 


--------------------------------------------------------------------------------
/include/io_tools.h:
--------------------------------------------------------------------------------
 1 | #ifndef IO_TOOLS_H
 2 | #define IO_TOOLS_H
 3 | 
 4 | #include <stdlib.h>
 5 | #include <fstream>
 6 | #include <string>
 7 | #include <vector>
 8 | #include "./rectangle.h"
 9 | #include <algorithm>
10 | #include <boost/algorithm/string.hpp>
11 | 
12 | 	
13 | struct binary_matrix_t{
14 | 	int *data;
15 | 	long m;
16 | 	long n;
17 | };
18 | 
19 | // Reading data in csv
20 | void read_binary_data(std::string file_name, binary_matrix_t *matrix_t){
21 | 
22 | 	std::ifstream file(file_name);
23 | 	std::string str;
24 | 
25 | 	long m = 0;
26 | 	long n = 0;
27 | 	long counter = 0;
28 | 	long counter_matrix = 0;
29 | 	while (std::getline(file, str)){
30 | 		
31 | 		if (counter == 0){
32 | 			m = std::stoi(str);
33 | 			matrix_t->m = m;
34 | 			//std::cout << m << std::endl;
35 | 		}
36 | 
37 | 		if (counter == 1){
38 | 			n = std::stoi(str);
39 | 			matrix_t->n = n;
40 | 			matrix_t->data = new int[m*n];
41 | 			//std::cout << n << std::endl;
42 | 		}
43 | 
44 | 		if (counter > 1){
45 | 			std::vector<std::string> vec;
46 | 			boost::algorithm::split(vec, str, boost::is_any_of(","));
47 | 			for(std::string data : vec){
48 | 				matrix_t->data[counter_matrix] = std::stoi( data );
49 | 				counter_matrix++;
50 | 			}
51 | 		}
52 | 		counter++;
53 | 	}
54 | }
55 | 
56 | // Saving data in csv format
57 | void save_rectangles_in_csv(std::string file_name, std::vector<rectangle_t> *recs){
58 | 
59 | 	std::ofstream r_file;
60 | 	r_file.open(file_name);
61 | 
62 | 	std::vector<rectangle_t>::iterator v = recs->begin();
63 | 	while(v !=recs->end()){
64 | 		r_file << v->x1 <<",  "<< v->x2 <<",  "<< v->y1 <<",  "<< v->y2 << "\n";
65 | 		v++;
66 | 	}
67 | 	r_file.close();
68 | }
69 | 
70 | #endif
71 | 


--------------------------------------------------------------------------------
/include/random_generator.h:
--------------------------------------------------------------------------------
 1 | 
 2 | #include <cuda.h>
 3 | #include <curand_kernel.h>
 4 | 
 5 | __global__ void setup_kernel(curandState *state)
 6 | {
 7 | 
 8 | 	//int i = threadIdx.y;
 9 | 	int j = threadIdx.x;
10 | 
11 | 	int b_i = blockIdx.y;
12 | 	int b_j = blockIdx.x;
13 | 	int b_n = gridDim.x;
14 | 
15 | 	if (j==0){
16 | 		int id = b_i*b_n + b_j;
17 | 		curand_init(1234, id, 0, &state[id]);
18 | 	}
19 | }
20 | 
21 | 
22 | 
23 | 
24 | 
25 | 
26 | 
27 | 
28 | 


--------------------------------------------------------------------------------
/include/rectangle.h:
--------------------------------------------------------------------------------
 1 | 
 2 | #ifndef RECTANGLE_H
 3 | #define RECTANGLE_H
 4 | 
 5 | struct rectangle_t{
 6 | 	int x1;
 7 | 	int x2;
 8 | 	int y1;
 9 | 	int y2;
10 | };
11 | 
12 | #endif
13 | 


--------------------------------------------------------------------------------
/include/rectangular_explorer_kernel.h:
--------------------------------------------------------------------------------
  1 | 
  2 | #include <math.h>
  3 | // getters
  4 | #include "./getters.h"
  5 | // random
  6 | #include "./random_generator.h"
  7 | 
  8 | // getters
  9 | using namespace ng;
 10 | 
 11 |  /* 
 12 |     FIND THE LARGEST RECTANGLE:
 13 |     Kernel used for expand a rectangle as large as possible in the data matrix
 14 |     The kernel runs in different blocks, each block with 4 threads.
 15 | 
 16 |     Each block needs a random point in the matrix(it uses cuRand). 
 17 |     If it doesnt find a valid point, the block sleeps(note: other blocks can work if they find a valid point).
 18 |     
 19 |     Then, inside of each block the four threads expand the rectangle from the initial random point to all sides:
 20 |     [thread 0] right-bottom
 21 |     [thread 1] right-top
 22 |     [thread 2] left-bottom
 23 |     [thread 3] left-top
 24 | 
 25 |     Each block has a largest rectangle that could find, in order to get the largest Rectangle, then compute the area and
 26 |     stores in areas variable.
 27 |  */
 28 | __global__ void find_largest_rectangle(curandState *state, long m, long n, int *data_matrix, int *out, int *areas){
 29 | 
 30 | 
 31 | 	const int coords_m = 5;
 32 | 	const int coords_n = 4;
 33 | 
 34 | 	__shared__ int coords[coords_m * coords_n];
 35 | 	//__shared__ int total_max;
 36 | 
 37 | 	__shared__ int idx_i;
 38 | 	__shared__ int idx_j;
 39 | 	
 40 | 	__shared__ bool is_sleeping;
 41 | 
 42 | 	//int i = threadIdx.y;
 43 | 	int j = threadIdx.x;
 44 | 
 45 | 	int b_i = blockIdx.y;
 46 | 	int b_j = blockIdx.x;
 47 | 	int b_n = gridDim.x;
 48 | 	
 49 | 	
 50 | 	/* GET RANDOM POINT: the value of that random point in the matrix must be one(1)
 51 | 	 */
 52 | 	if(j==0){
 53 | 	        areas[b_i*b_n + b_j] = 0;
 54 | 
 55 | 		int id = b_i*b_n + b_j;
 56 | 		curandState localState = state[id];
 57 | 		
 58 | 		unsigned int xx;
 59 | 		unsigned int yy;
 60 | 		for(int g=0; g<100; g++){
 61 | 			xx = curand(&localState);
 62 | 			yy = curand(&localState);
 63 | 		 	idx_i = abs((int)xx)%(m);	
 64 | 			idx_j = abs((int)yy)%(n);
 65 | 			if (data_matrix[idx_i*n + idx_j]==1){
 66 | 				is_sleeping = false;
 67 | 				break;
 68 | 			}else{
 69 | 				is_sleeping = true;
 70 | 			}
 71 | 		}
 72 | 		state[id] = localState;
 73 | 
 74 | 		//printf("idx_i %d  idx_j %d \n",idx_i,idx_j);
 75 | 	}
 76 | 	__syncthreads();
 77 | 	
 78 | 	// if sleeping true ,disable block-thread work
 79 | 	if (!is_sleeping){
 80 | 		// expand the rectangle
 81 | 		int results[4] = {0,0,0,0};
 82 | 		if (j==0){
 83 | 			get_right_bottom_rectangle(idx_i, idx_j, m, n, data_matrix, results);
 84 | 		}
 85 | 
 86 | 		if (j==1){
 87 | 			get_right_top_rectangle(idx_i, idx_j, n, data_matrix, results);
 88 | 		}
 89 | 
 90 | 		if (j==2){
 91 | 			get_left_bottom_rectangle(idx_i, idx_j, m, n, data_matrix, results);
 92 | 		}
 93 | 
 94 | 		if (j==3){
 95 | 			get_left_top_rectangle(idx_i, idx_j, n, data_matrix, results);
 96 | 		}
 97 | 
 98 | 		coords[j*coords_n + 0] = results[0];
 99 | 		coords[j*coords_n + 1] = results[1];
100 | 		coords[j*coords_n + 2] = results[2];
101 | 		coords[j*coords_n + 3] = results[3];
102 | 
103 | 		__syncthreads();
104 | 
105 | 		// merge last rectangles
106 | 		if (j==0){
107 | 			int a = coords[2*coords_n + 1];
108 | 			int b = coords[3*coords_n + 1];
109 | 			int pl = a;
110 | 			if (b > a){
111 | 				pl = b;
112 | 			}
113 | 			coords[4*coords_n + j] = pl;
114 | 			out[b_i*b_n*4 + (4*b_j + j) ] = pl;
115 | 		}
116 | 
117 | 		if (j==1){
118 | 			int a = coords[0*coords_n + 1];
119 | 			int b = coords[1*coords_n + 1];
120 | 			int pr = a;
121 | 			if (b < a){
122 | 				pr = b;
123 | 			}
124 | 			coords[4*coords_n + j] = pr;
125 | 			out[b_i*b_n*4 + (4*b_j + j) ] = pr;
126 | 		}
127 | 
128 | 		if (j==2){
129 | 			int a = coords[1*coords_n + 3];
130 | 			int b = coords[3*coords_n + 3];
131 | 			int pt = a;
132 | 			if (b > a){
133 | 				pt = b;
134 | 			}
135 | 			coords[4*coords_n + j] = pt;
136 | 			out[b_i*b_n*4 + (4*b_j + j) ] = pt;
137 | 		}
138 | 
139 | 		if (j==3){
140 | 			int a = coords[0*coords_n + 3];
141 | 			int b = coords[2*coords_n + 3];
142 | 			int pb = a;
143 | 			if (b < a){
144 | 				pb = b;
145 | 			}
146 | 			coords[4*coords_n + j] = pb;
147 | 			out[b_i*b_n*4 + (4*b_j + j) ] = pb;
148 | 		}
149 | 
150 | 		__syncthreads();
151 | 
152 | 		if (j==0){
153 | 			int a = abs(coords[coords_n*4 + 0] -  coords[coords_n*4 + 1]) + 1;
154 | 			int b = abs(coords[coords_n*4 + 2] -  coords[coords_n*4 + 3]) + 1;
155 | 			int area = a*b;
156 | 			areas[b_i*b_n + b_j] = area;
157 | 		}
158 | 	}
159 | 
160 | }
161 | 
162 | 


--------------------------------------------------------------------------------
/include/rectangular_remover_kernel.h:
--------------------------------------------------------------------------------
 1 | 
 2 | // GPU kernels
 3 | __global__ void remove_rectangle_from_matrix(int x1, int x2, int y1, int y2, int *data_matrix, long m, long n){
 4 | 
 5 | 	int i = threadIdx.y;
 6 | 	int j = threadIdx.x;
 7 | 	
 8 | 	int g_i = blockDim.y*blockIdx.y + i;
 9 | 	int g_j = blockDim.x*blockIdx.x + j;
10 | 	
11 | 	int g_ii = g_i + y1;
12 | 	int g_jj = g_j + x1;
13 | 
14 | 	if ( (g_ii >= y1) & (g_ii <= y2)){
15 | 		if ( (g_jj >= x1) & (g_jj <= x2)){
16 | 			data_matrix[g_ii*n + g_jj] = 0;		
17 | 		}
18 | 	}
19 | }
20 | 
21 | 
22 | 


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/log_tools/logs/log_boston12.csv_1:
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  1 | adaptive-boxes-gpu
  2 | GPU-accelerated rectangular decomposition for sound propagation modeling
  3 | Reading Data...
  4 | Data on Memory: Data size: m 1576 , n 3688
  5 | Number of tests: 4 
  6 | Working...
  7 | Decomposition ready!!
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 10 | Saving rectagles -  total amount of rectangles: 1995
 11 | adaptive-boxes-gpu
 12 | GPU-accelerated rectangular decomposition for sound propagation modeling
 13 | Reading Data...
 14 | Data on Memory: Data size: m 1576 , n 3688
 15 | Number of tests: 4 
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 17 | Decomposition ready!!
 18 | -->Elapsed time: 15171.853516
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 21 | adaptive-boxes-gpu
 22 | GPU-accelerated rectangular decomposition for sound propagation modeling
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 24 | Data on Memory: Data size: m 1576 , n 3688
 25 | Number of tests: 4 
 26 | Working...
 27 | Decomposition ready!!
 28 | -->Elapsed time: 15307.272461
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 31 | adaptive-boxes-gpu
 32 | GPU-accelerated rectangular decomposition for sound propagation modeling
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 34 | Data on Memory: Data size: m 1576 , n 3688
 35 | Number of tests: 4 
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 37 | Decomposition ready!!
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 41 | adaptive-boxes-gpu
 42 | GPU-accelerated rectangular decomposition for sound propagation modeling
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 51 | adaptive-boxes-gpu
 52 | GPU-accelerated rectangular decomposition for sound propagation modeling
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 61 | adaptive-boxes-gpu
 62 | GPU-accelerated rectangular decomposition for sound propagation modeling
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 71 | adaptive-boxes-gpu
 72 | GPU-accelerated rectangular decomposition for sound propagation modeling
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 75 | Number of tests: 4 
 76 | Working...
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 81 | adaptive-boxes-gpu
 82 | GPU-accelerated rectangular decomposition for sound propagation modeling
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101 | adaptive-boxes-gpu
102 | GPU-accelerated rectangular decomposition for sound propagation modeling
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104 | Data on Memory: Data size: m 1576 , n 3688
105 | Number of tests: 4 
106 | Working...
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111 | adaptive-boxes-gpu
112 | GPU-accelerated rectangular decomposition for sound propagation modeling
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115 | Number of tests: 4 
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121 | adaptive-boxes-gpu
122 | GPU-accelerated rectangular decomposition for sound propagation modeling
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125 | Number of tests: 4 
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131 | adaptive-boxes-gpu
132 | GPU-accelerated rectangular decomposition for sound propagation modeling
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135 | Number of tests: 4 
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141 | adaptive-boxes-gpu
142 | GPU-accelerated rectangular decomposition for sound propagation modeling
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145 | Number of tests: 4 
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151 | adaptive-boxes-gpu
152 | GPU-accelerated rectangular decomposition for sound propagation modeling
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155 | Number of tests: 4 
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161 | adaptive-boxes-gpu
162 | GPU-accelerated rectangular decomposition for sound propagation modeling
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165 | Number of tests: 4 
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171 | adaptive-boxes-gpu
172 | GPU-accelerated rectangular decomposition for sound propagation modeling
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175 | Number of tests: 4 
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181 | adaptive-boxes-gpu
182 | GPU-accelerated rectangular decomposition for sound propagation modeling
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185 | Number of tests: 4 
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191 | adaptive-boxes-gpu
192 | GPU-accelerated rectangular decomposition for sound propagation modeling
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195 | Number of tests: 4 
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202 | GPU-accelerated rectangular decomposition for sound propagation modeling
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205 | Number of tests: 4 
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212 | GPU-accelerated rectangular decomposition for sound propagation modeling
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214 | Data on Memory: Data size: m 1576 , n 3688
215 | Number of tests: 4 
216 | Working...
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221 | adaptive-boxes-gpu
222 | GPU-accelerated rectangular decomposition for sound propagation modeling
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224 | Data on Memory: Data size: m 1576 , n 3688
225 | Number of tests: 4 
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231 | adaptive-boxes-gpu
232 | GPU-accelerated rectangular decomposition for sound propagation modeling
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234 | Data on Memory: Data size: m 1576 , n 3688
235 | Number of tests: 4 
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241 | adaptive-boxes-gpu
242 | GPU-accelerated rectangular decomposition for sound propagation modeling
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244 | Data on Memory: Data size: m 1576 , n 3688
245 | Number of tests: 4 
246 | Working...
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251 | adaptive-boxes-gpu
252 | GPU-accelerated rectangular decomposition for sound propagation modeling
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255 | Number of tests: 4 
256 | Working...
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261 | adaptive-boxes-gpu
262 | GPU-accelerated rectangular decomposition for sound propagation modeling
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264 | Data on Memory: Data size: m 1576 , n 3688
265 | Number of tests: 4 
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271 | adaptive-boxes-gpu
272 | GPU-accelerated rectangular decomposition for sound propagation modeling
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274 | Data on Memory: Data size: m 1576 , n 3688
275 | Number of tests: 4 
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277 | Decomposition ready!!
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281 | adaptive-boxes-gpu
282 | GPU-accelerated rectangular decomposition for sound propagation modeling
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284 | Data on Memory: Data size: m 1576 , n 3688
285 | Number of tests: 4 
286 | Working...
287 | Decomposition ready!!
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291 | adaptive-boxes-gpu
292 | GPU-accelerated rectangular decomposition for sound propagation modeling
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295 | Number of tests: 4 
296 | Working...
297 | Decomposition ready!!
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301 | 


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/log_tools/logs/log_boston12.csv_10:
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  1 | adaptive-boxes-gpu
  2 | GPU-accelerated rectangular decomposition for sound propagation modeling
  3 | Reading Data...
  4 | Data on Memory: Data size: m 1576 , n 3688
  5 | Number of tests: 40 
  6 | Working...
  7 | Decomposition ready!!
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  9 | -->Last sum 0
 10 | Saving rectagles -  total amount of rectangles: 1984
 11 | adaptive-boxes-gpu
 12 | GPU-accelerated rectangular decomposition for sound propagation modeling
 13 | Reading Data...
 14 | Data on Memory: Data size: m 1576 , n 3688
 15 | Number of tests: 40 
 16 | Working...
 17 | Decomposition ready!!
 18 | -->Elapsed time: 2869.595947
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 20 | Saving rectagles -  total amount of rectangles: 1984
 21 | adaptive-boxes-gpu
 22 | GPU-accelerated rectangular decomposition for sound propagation modeling
 23 | Reading Data...
 24 | Data on Memory: Data size: m 1576 , n 3688
 25 | Number of tests: 40 
 26 | Working...
 27 | Decomposition ready!!
 28 | -->Elapsed time: 2879.396973
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 31 | adaptive-boxes-gpu
 32 | GPU-accelerated rectangular decomposition for sound propagation modeling
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 34 | Data on Memory: Data size: m 1576 , n 3688
 35 | Number of tests: 40 
 36 | Working...
 37 | Decomposition ready!!
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 41 | adaptive-boxes-gpu
 42 | GPU-accelerated rectangular decomposition for sound propagation modeling
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 44 | Data on Memory: Data size: m 1576 , n 3688
 45 | Number of tests: 40 
 46 | Working...
 47 | Decomposition ready!!
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 50 | Saving rectagles -  total amount of rectangles: 1984
 51 | adaptive-boxes-gpu
 52 | GPU-accelerated rectangular decomposition for sound propagation modeling
 53 | Reading Data...
 54 | Data on Memory: Data size: m 1576 , n 3688
 55 | Number of tests: 40 
 56 | Working...
 57 | Decomposition ready!!
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 60 | Saving rectagles -  total amount of rectangles: 1984
 61 | adaptive-boxes-gpu
 62 | GPU-accelerated rectangular decomposition for sound propagation modeling
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 64 | Data on Memory: Data size: m 1576 , n 3688
 65 | Number of tests: 40 
 66 | Working...
 67 | Decomposition ready!!
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 71 | adaptive-boxes-gpu
 72 | GPU-accelerated rectangular decomposition for sound propagation modeling
 73 | Reading Data...
 74 | Data on Memory: Data size: m 1576 , n 3688
 75 | Number of tests: 40 
 76 | Working...
 77 | Decomposition ready!!
 78 | -->Elapsed time: 2882.671387
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 81 | adaptive-boxes-gpu
 82 | GPU-accelerated rectangular decomposition for sound propagation modeling
 83 | Reading Data...
 84 | Data on Memory: Data size: m 1576 , n 3688
 85 | Number of tests: 40 
 86 | Working...
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 92 | GPU-accelerated rectangular decomposition for sound propagation modeling
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 94 | Data on Memory: Data size: m 1576 , n 3688
 95 | Number of tests: 40 
 96 | Working...
 97 | Decomposition ready!!
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101 | adaptive-boxes-gpu
102 | GPU-accelerated rectangular decomposition for sound propagation modeling
103 | Reading Data...
104 | Data on Memory: Data size: m 1576 , n 3688
105 | Number of tests: 40 
106 | Working...
107 | Decomposition ready!!
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111 | adaptive-boxes-gpu
112 | GPU-accelerated rectangular decomposition for sound propagation modeling
113 | Reading Data...
114 | Data on Memory: Data size: m 1576 , n 3688
115 | Number of tests: 40 
116 | Working...
117 | Decomposition ready!!
118 | -->Elapsed time: 2889.950684
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120 | Saving rectagles -  total amount of rectangles: 1984
121 | adaptive-boxes-gpu
122 | GPU-accelerated rectangular decomposition for sound propagation modeling
123 | Reading Data...
124 | Data on Memory: Data size: m 1576 , n 3688
125 | Number of tests: 40 
126 | Working...
127 | Decomposition ready!!
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130 | Saving rectagles -  total amount of rectangles: 1984
131 | adaptive-boxes-gpu
132 | GPU-accelerated rectangular decomposition for sound propagation modeling
133 | Reading Data...
134 | Data on Memory: Data size: m 1576 , n 3688
135 | Number of tests: 40 
136 | Working...
137 | Decomposition ready!!
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141 | adaptive-boxes-gpu
142 | GPU-accelerated rectangular decomposition for sound propagation modeling
143 | Reading Data...
144 | Data on Memory: Data size: m 1576 , n 3688
145 | Number of tests: 40 
146 | Working...
147 | Decomposition ready!!
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151 | adaptive-boxes-gpu
152 | GPU-accelerated rectangular decomposition for sound propagation modeling
153 | Reading Data...
154 | Data on Memory: Data size: m 1576 , n 3688
155 | Number of tests: 40 
156 | Working...
157 | Decomposition ready!!
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161 | adaptive-boxes-gpu
162 | GPU-accelerated rectangular decomposition for sound propagation modeling
163 | Reading Data...
164 | Data on Memory: Data size: m 1576 , n 3688
165 | Number of tests: 40 
166 | Working...
167 | Decomposition ready!!
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171 | adaptive-boxes-gpu
172 | GPU-accelerated rectangular decomposition for sound propagation modeling
173 | Reading Data...
174 | Data on Memory: Data size: m 1576 , n 3688
175 | Number of tests: 40 
176 | Working...
177 | Decomposition ready!!
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180 | Saving rectagles -  total amount of rectangles: 1984
181 | adaptive-boxes-gpu
182 | GPU-accelerated rectangular decomposition for sound propagation modeling
183 | Reading Data...
184 | Data on Memory: Data size: m 1576 , n 3688
185 | Number of tests: 40 
186 | Working...
187 | Decomposition ready!!
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191 | adaptive-boxes-gpu
192 | GPU-accelerated rectangular decomposition for sound propagation modeling
193 | Reading Data...
194 | Data on Memory: Data size: m 1576 , n 3688
195 | Number of tests: 40 
196 | Working...
197 | Decomposition ready!!
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201 | adaptive-boxes-gpu
202 | GPU-accelerated rectangular decomposition for sound propagation modeling
203 | Reading Data...
204 | Data on Memory: Data size: m 1576 , n 3688
205 | Number of tests: 40 
206 | Working...
207 | Decomposition ready!!
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210 | Saving rectagles -  total amount of rectangles: 1984
211 | adaptive-boxes-gpu
212 | GPU-accelerated rectangular decomposition for sound propagation modeling
213 | Reading Data...
214 | Data on Memory: Data size: m 1576 , n 3688
215 | Number of tests: 40 
216 | Working...
217 | Decomposition ready!!
218 | -->Elapsed time: 2893.665039
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220 | Saving rectagles -  total amount of rectangles: 1984
221 | adaptive-boxes-gpu
222 | GPU-accelerated rectangular decomposition for sound propagation modeling
223 | Reading Data...
224 | Data on Memory: Data size: m 1576 , n 3688
225 | Number of tests: 40 
226 | Working...
227 | Decomposition ready!!
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230 | Saving rectagles -  total amount of rectangles: 1984
231 | adaptive-boxes-gpu
232 | GPU-accelerated rectangular decomposition for sound propagation modeling
233 | Reading Data...
234 | Data on Memory: Data size: m 1576 , n 3688
235 | Number of tests: 40 
236 | Working...
237 | Decomposition ready!!
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240 | Saving rectagles -  total amount of rectangles: 1984
241 | adaptive-boxes-gpu
242 | GPU-accelerated rectangular decomposition for sound propagation modeling
243 | Reading Data...
244 | Data on Memory: Data size: m 1576 , n 3688
245 | Number of tests: 40 
246 | Working...
247 | Decomposition ready!!
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250 | Saving rectagles -  total amount of rectangles: 1984
251 | adaptive-boxes-gpu
252 | GPU-accelerated rectangular decomposition for sound propagation modeling
253 | Reading Data...
254 | Data on Memory: Data size: m 1576 , n 3688
255 | Number of tests: 40 
256 | Working...
257 | Decomposition ready!!
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260 | Saving rectagles -  total amount of rectangles: 1984
261 | adaptive-boxes-gpu
262 | GPU-accelerated rectangular decomposition for sound propagation modeling
263 | Reading Data...
264 | Data on Memory: Data size: m 1576 , n 3688
265 | Number of tests: 40 
266 | Working...
267 | Decomposition ready!!
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270 | Saving rectagles -  total amount of rectangles: 1984
271 | adaptive-boxes-gpu
272 | GPU-accelerated rectangular decomposition for sound propagation modeling
273 | Reading Data...
274 | Data on Memory: Data size: m 1576 , n 3688
275 | Number of tests: 40 
276 | Working...
277 | Decomposition ready!!
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280 | Saving rectagles -  total amount of rectangles: 1984
281 | adaptive-boxes-gpu
282 | GPU-accelerated rectangular decomposition for sound propagation modeling
283 | Reading Data...
284 | Data on Memory: Data size: m 1576 , n 3688
285 | Number of tests: 40 
286 | Working...
287 | Decomposition ready!!
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290 | Saving rectagles -  total amount of rectangles: 1984
291 | adaptive-boxes-gpu
292 | GPU-accelerated rectangular decomposition for sound propagation modeling
293 | Reading Data...
294 | Data on Memory: Data size: m 1576 , n 3688
295 | Number of tests: 40 
296 | Working...
297 | Decomposition ready!!
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299 | -->Last sum 0
300 | Saving rectagles -  total amount of rectangles: 1984
301 | 


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/log_tools/logs/log_boston12.csv_100:
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  1 | adaptive-boxes-gpu
  2 | GPU-accelerated rectangular decomposition for sound propagation modeling
  3 | Reading Data...
  4 | Data on Memory: Data size: m 1576 , n 3688
  5 | Number of tests: 400 
  6 | Working...
  7 | Decomposition ready!!
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  9 | -->Last sum 0
 10 | Saving rectagles -  total amount of rectangles: 1983
 11 | adaptive-boxes-gpu
 12 | GPU-accelerated rectangular decomposition for sound propagation modeling
 13 | Reading Data...
 14 | Data on Memory: Data size: m 1576 , n 3688
 15 | Number of tests: 400 
 16 | Working...
 17 | Decomposition ready!!
 18 | -->Elapsed time: 2869.963135
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 20 | Saving rectagles -  total amount of rectangles: 1983
 21 | adaptive-boxes-gpu
 22 | GPU-accelerated rectangular decomposition for sound propagation modeling
 23 | Reading Data...
 24 | Data on Memory: Data size: m 1576 , n 3688
 25 | Number of tests: 400 
 26 | Working...
 27 | Decomposition ready!!
 28 | -->Elapsed time: 2868.698730
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 30 | Saving rectagles -  total amount of rectangles: 1983
 31 | adaptive-boxes-gpu
 32 | GPU-accelerated rectangular decomposition for sound propagation modeling
 33 | Reading Data...
 34 | Data on Memory: Data size: m 1576 , n 3688
 35 | Number of tests: 400 
 36 | Working...
 37 | Decomposition ready!!
 38 | -->Elapsed time: 2952.244629
 39 | -->Last sum 0
 40 | Saving rectagles -  total amount of rectangles: 1983
 41 | adaptive-boxes-gpu
 42 | GPU-accelerated rectangular decomposition for sound propagation modeling
 43 | Reading Data...
 44 | Data on Memory: Data size: m 1576 , n 3688
 45 | Number of tests: 400 
 46 | Working...
 47 | Decomposition ready!!
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 49 | -->Last sum 0
 50 | Saving rectagles -  total amount of rectangles: 1983
 51 | adaptive-boxes-gpu
 52 | GPU-accelerated rectangular decomposition for sound propagation modeling
 53 | Reading Data...
 54 | Data on Memory: Data size: m 1576 , n 3688
 55 | Number of tests: 400 
 56 | Working...
 57 | Decomposition ready!!
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 60 | Saving rectagles -  total amount of rectangles: 1983
 61 | adaptive-boxes-gpu
 62 | GPU-accelerated rectangular decomposition for sound propagation modeling
 63 | Reading Data...
 64 | Data on Memory: Data size: m 1576 , n 3688
 65 | Number of tests: 400 
 66 | Working...
 67 | Decomposition ready!!
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 69 | -->Last sum 0
 70 | Saving rectagles -  total amount of rectangles: 1983
 71 | adaptive-boxes-gpu
 72 | GPU-accelerated rectangular decomposition for sound propagation modeling
 73 | Reading Data...
 74 | Data on Memory: Data size: m 1576 , n 3688
 75 | Number of tests: 400 
 76 | Working...
 77 | Decomposition ready!!
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 79 | -->Last sum 0
 80 | Saving rectagles -  total amount of rectangles: 1983
 81 | adaptive-boxes-gpu
 82 | GPU-accelerated rectangular decomposition for sound propagation modeling
 83 | Reading Data...
 84 | Data on Memory: Data size: m 1576 , n 3688
 85 | Number of tests: 400 
 86 | Working...
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 90 | Saving rectagles -  total amount of rectangles: 1983
 91 | adaptive-boxes-gpu
 92 | GPU-accelerated rectangular decomposition for sound propagation modeling
 93 | Reading Data...
 94 | Data on Memory: Data size: m 1576 , n 3688
 95 | Number of tests: 400 
 96 | Working...
 97 | Decomposition ready!!
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 99 | -->Last sum 0
100 | Saving rectagles -  total amount of rectangles: 1983
101 | adaptive-boxes-gpu
102 | GPU-accelerated rectangular decomposition for sound propagation modeling
103 | Reading Data...
104 | Data on Memory: Data size: m 1576 , n 3688
105 | Number of tests: 400 
106 | Working...
107 | Decomposition ready!!
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110 | Saving rectagles -  total amount of rectangles: 1983
111 | adaptive-boxes-gpu
112 | GPU-accelerated rectangular decomposition for sound propagation modeling
113 | Reading Data...
114 | Data on Memory: Data size: m 1576 , n 3688
115 | Number of tests: 400 
116 | Working...
117 | Decomposition ready!!
118 | -->Elapsed time: 2891.165527
119 | -->Last sum 0
120 | Saving rectagles -  total amount of rectangles: 1983
121 | adaptive-boxes-gpu
122 | GPU-accelerated rectangular decomposition for sound propagation modeling
123 | Reading Data...
124 | Data on Memory: Data size: m 1576 , n 3688
125 | Number of tests: 400 
126 | Working...
127 | Decomposition ready!!
128 | -->Elapsed time: 2824.758789
129 | -->Last sum 0
130 | Saving rectagles -  total amount of rectangles: 1983
131 | adaptive-boxes-gpu
132 | GPU-accelerated rectangular decomposition for sound propagation modeling
133 | Reading Data...
134 | Data on Memory: Data size: m 1576 , n 3688
135 | Number of tests: 400 
136 | Working...
137 | Decomposition ready!!
138 | -->Elapsed time: 2871.562500
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140 | Saving rectagles -  total amount of rectangles: 1983
141 | adaptive-boxes-gpu
142 | GPU-accelerated rectangular decomposition for sound propagation modeling
143 | Reading Data...
144 | Data on Memory: Data size: m 1576 , n 3688
145 | Number of tests: 400 
146 | Working...
147 | Decomposition ready!!
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151 | adaptive-boxes-gpu
152 | GPU-accelerated rectangular decomposition for sound propagation modeling
153 | Reading Data...
154 | Data on Memory: Data size: m 1576 , n 3688
155 | Number of tests: 400 
156 | Working...
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161 | adaptive-boxes-gpu
162 | GPU-accelerated rectangular decomposition for sound propagation modeling
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164 | Data on Memory: Data size: m 1576 , n 3688
165 | Number of tests: 400 
166 | Working...
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171 | adaptive-boxes-gpu
172 | GPU-accelerated rectangular decomposition for sound propagation modeling
173 | Reading Data...
174 | Data on Memory: Data size: m 1576 , n 3688
175 | Number of tests: 400 
176 | Working...
177 | Decomposition ready!!
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181 | adaptive-boxes-gpu
182 | GPU-accelerated rectangular decomposition for sound propagation modeling
183 | Reading Data...
184 | Data on Memory: Data size: m 1576 , n 3688
185 | Number of tests: 400 
186 | Working...
187 | Decomposition ready!!
188 | -->Elapsed time: 2854.575684
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191 | adaptive-boxes-gpu
192 | GPU-accelerated rectangular decomposition for sound propagation modeling
193 | Reading Data...
194 | Data on Memory: Data size: m 1576 , n 3688
195 | Number of tests: 400 
196 | Working...
197 | Decomposition ready!!
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201 | adaptive-boxes-gpu
202 | GPU-accelerated rectangular decomposition for sound propagation modeling
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204 | Data on Memory: Data size: m 1576 , n 3688
205 | Number of tests: 400 
206 | Working...
207 | Decomposition ready!!
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211 | adaptive-boxes-gpu
212 | GPU-accelerated rectangular decomposition for sound propagation modeling
213 | Reading Data...
214 | Data on Memory: Data size: m 1576 , n 3688
215 | Number of tests: 400 
216 | Working...
217 | Decomposition ready!!
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221 | adaptive-boxes-gpu
222 | GPU-accelerated rectangular decomposition for sound propagation modeling
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224 | Data on Memory: Data size: m 1576 , n 3688
225 | Number of tests: 400 
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231 | adaptive-boxes-gpu
232 | GPU-accelerated rectangular decomposition for sound propagation modeling
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234 | Data on Memory: Data size: m 1576 , n 3688
235 | Number of tests: 400 
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241 | adaptive-boxes-gpu
242 | GPU-accelerated rectangular decomposition for sound propagation modeling
243 | Reading Data...
244 | Data on Memory: Data size: m 1576 , n 3688
245 | Number of tests: 400 
246 | Working...
247 | Decomposition ready!!
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251 | adaptive-boxes-gpu
252 | GPU-accelerated rectangular decomposition for sound propagation modeling
253 | Reading Data...
254 | Data on Memory: Data size: m 1576 , n 3688
255 | Number of tests: 400 
256 | Working...
257 | Decomposition ready!!
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261 | adaptive-boxes-gpu
262 | GPU-accelerated rectangular decomposition for sound propagation modeling
263 | Reading Data...
264 | Data on Memory: Data size: m 1576 , n 3688
265 | Number of tests: 400 
266 | Working...
267 | Decomposition ready!!
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271 | adaptive-boxes-gpu
272 | GPU-accelerated rectangular decomposition for sound propagation modeling
273 | Reading Data...
274 | Data on Memory: Data size: m 1576 , n 3688
275 | Number of tests: 400 
276 | Working...
277 | Decomposition ready!!
278 | -->Elapsed time: 2883.591309
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280 | Saving rectagles -  total amount of rectangles: 1983
281 | adaptive-boxes-gpu
282 | GPU-accelerated rectangular decomposition for sound propagation modeling
283 | Reading Data...
284 | Data on Memory: Data size: m 1576 , n 3688
285 | Number of tests: 400 
286 | Working...
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291 | adaptive-boxes-gpu
292 | GPU-accelerated rectangular decomposition for sound propagation modeling
293 | Reading Data...
294 | Data on Memory: Data size: m 1576 , n 3688
295 | Number of tests: 400 
296 | Working...
297 | Decomposition ready!!
298 | -->Elapsed time: 2816.744629
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300 | Saving rectagles -  total amount of rectangles: 1983
301 | 


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/log_tools/logs/log_boston12.csv_600::
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  1 | adaptive-boxes-gpu
  2 | GPU-accelerated rectangular decomposition for sound propagation modeling
  3 | Reading Data...
  4 | Data on Memory: Data size: m 1576 , n 3688
  5 | Number of tests: 2400 
  6 | Working...
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 10 | Saving rectagles -  total amount of rectangles: 1982
 11 | adaptive-boxes-gpu
 12 | GPU-accelerated rectangular decomposition for sound propagation modeling
 13 | Reading Data...
 14 | Data on Memory: Data size: m 1576 , n 3688
 15 | Number of tests: 2400 
 16 | Working...
 17 | Decomposition ready!!
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 20 | Saving rectagles -  total amount of rectangles: 1981
 21 | adaptive-boxes-gpu
 22 | GPU-accelerated rectangular decomposition for sound propagation modeling
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 24 | Data on Memory: Data size: m 1576 , n 3688
 25 | Number of tests: 2400 
 26 | Working...
 27 | Decomposition ready!!
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 30 | Saving rectagles -  total amount of rectangles: 1982
 31 | adaptive-boxes-gpu
 32 | GPU-accelerated rectangular decomposition for sound propagation modeling
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 34 | Data on Memory: Data size: m 1576 , n 3688
 35 | Number of tests: 2400 
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 41 | adaptive-boxes-gpu
 42 | GPU-accelerated rectangular decomposition for sound propagation modeling
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 44 | Data on Memory: Data size: m 1576 , n 3688
 45 | Number of tests: 2400 
 46 | Working...
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 51 | adaptive-boxes-gpu
 52 | GPU-accelerated rectangular decomposition for sound propagation modeling
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 54 | Data on Memory: Data size: m 1576 , n 3688
 55 | Number of tests: 2400 
 56 | Working...
 57 | Decomposition ready!!
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 60 | Saving rectagles -  total amount of rectangles: 1980
 61 | adaptive-boxes-gpu
 62 | GPU-accelerated rectangular decomposition for sound propagation modeling
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 65 | Number of tests: 2400 
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 71 | adaptive-boxes-gpu
 72 | GPU-accelerated rectangular decomposition for sound propagation modeling
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 74 | Data on Memory: Data size: m 1576 , n 3688
 75 | Number of tests: 2400 
 76 | Working...
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 81 | adaptive-boxes-gpu
 82 | GPU-accelerated rectangular decomposition for sound propagation modeling
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 85 | Number of tests: 2400 
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 92 | GPU-accelerated rectangular decomposition for sound propagation modeling
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101 | adaptive-boxes-gpu
102 | GPU-accelerated rectangular decomposition for sound propagation modeling
103 | Reading Data...
104 | Data on Memory: Data size: m 1576 , n 3688
105 | Number of tests: 2400 
106 | Working...
107 | Decomposition ready!!
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110 | Saving rectagles -  total amount of rectangles: 1979
111 | adaptive-boxes-gpu
112 | GPU-accelerated rectangular decomposition for sound propagation modeling
113 | Reading Data...
114 | Data on Memory: Data size: m 1576 , n 3688
115 | Number of tests: 2400 
116 | Working...
117 | Decomposition ready!!
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121 | adaptive-boxes-gpu
122 | GPU-accelerated rectangular decomposition for sound propagation modeling
123 | Reading Data...
124 | Data on Memory: Data size: m 1576 , n 3688
125 | Number of tests: 2400 
126 | Working...
127 | Decomposition ready!!
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131 | adaptive-boxes-gpu
132 | GPU-accelerated rectangular decomposition for sound propagation modeling
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134 | Data on Memory: Data size: m 1576 , n 3688
135 | Number of tests: 2400 
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141 | adaptive-boxes-gpu
142 | GPU-accelerated rectangular decomposition for sound propagation modeling
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144 | Data on Memory: Data size: m 1576 , n 3688
145 | Number of tests: 2400 
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151 | adaptive-boxes-gpu
152 | GPU-accelerated rectangular decomposition for sound propagation modeling
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154 | Data on Memory: Data size: m 1576 , n 3688
155 | Number of tests: 2400 
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157 | Decomposition ready!!
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161 | adaptive-boxes-gpu
162 | GPU-accelerated rectangular decomposition for sound propagation modeling
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164 | Data on Memory: Data size: m 1576 , n 3688
165 | Number of tests: 2400 
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171 | adaptive-boxes-gpu
172 | GPU-accelerated rectangular decomposition for sound propagation modeling
173 | Reading Data...
174 | Data on Memory: Data size: m 1576 , n 3688
175 | Number of tests: 2400 
176 | Working...
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181 | adaptive-boxes-gpu
182 | GPU-accelerated rectangular decomposition for sound propagation modeling
183 | Reading Data...
184 | Data on Memory: Data size: m 1576 , n 3688
185 | Number of tests: 2400 
186 | Working...
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191 | adaptive-boxes-gpu
192 | GPU-accelerated rectangular decomposition for sound propagation modeling
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194 | Data on Memory: Data size: m 1576 , n 3688
195 | Number of tests: 2400 
196 | Working...
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201 | adaptive-boxes-gpu
202 | GPU-accelerated rectangular decomposition for sound propagation modeling
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204 | Data on Memory: Data size: m 1576 , n 3688
205 | Number of tests: 2400 
206 | Working...
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211 | adaptive-boxes-gpu
212 | GPU-accelerated rectangular decomposition for sound propagation modeling
213 | Reading Data...
214 | Data on Memory: Data size: m 1576 , n 3688
215 | Number of tests: 2400 
216 | Working...
217 | Decomposition ready!!
218 | -->Elapsed time: 3052.944336
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220 | Saving rectagles -  total amount of rectangles: 1981
221 | adaptive-boxes-gpu
222 | GPU-accelerated rectangular decomposition for sound propagation modeling
223 | Reading Data...
224 | Data on Memory: Data size: m 1576 , n 3688
225 | Number of tests: 2400 
226 | Working...
227 | Decomposition ready!!
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231 | adaptive-boxes-gpu
232 | GPU-accelerated rectangular decomposition for sound propagation modeling
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234 | Data on Memory: Data size: m 1576 , n 3688
235 | Number of tests: 2400 
236 | Working...
237 | Decomposition ready!!
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240 | Saving rectagles -  total amount of rectangles: 1980
241 | adaptive-boxes-gpu
242 | GPU-accelerated rectangular decomposition for sound propagation modeling
243 | Reading Data...
244 | Data on Memory: Data size: m 1576 , n 3688
245 | Number of tests: 2400 
246 | Working...
247 | Decomposition ready!!
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251 | adaptive-boxes-gpu
252 | GPU-accelerated rectangular decomposition for sound propagation modeling
253 | Reading Data...
254 | Data on Memory: Data size: m 1576 , n 3688
255 | Number of tests: 2400 
256 | Working...
257 | Decomposition ready!!
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260 | Saving rectagles -  total amount of rectangles: 1980
261 | adaptive-boxes-gpu
262 | GPU-accelerated rectangular decomposition for sound propagation modeling
263 | Reading Data...
264 | Data on Memory: Data size: m 1576 , n 3688
265 | Number of tests: 2400 
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271 | adaptive-boxes-gpu
272 | GPU-accelerated rectangular decomposition for sound propagation modeling
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274 | Data on Memory: Data size: m 1576 , n 3688
275 | Number of tests: 2400 
276 | Working...
277 | Decomposition ready!!
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281 | adaptive-boxes-gpu
282 | GPU-accelerated rectangular decomposition for sound propagation modeling
283 | Reading Data...
284 | Data on Memory: Data size: m 1576 , n 3688
285 | Number of tests: 2400 
286 | Working...
287 | Decomposition ready!!
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291 | adaptive-boxes-gpu
292 | GPU-accelerated rectangular decomposition for sound propagation modeling
293 | Reading Data...
294 | Data on Memory: Data size: m 1576 , n 3688
295 | Number of tests: 2400 
296 | Working...
297 | Decomposition ready!!
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300 | Saving rectagles -  total amount of rectangles: 1982
301 | 


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/log_tools/logs/log_complex11.csv_1:
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  1 | adaptive-boxes-gpu
  2 | GPU-accelerated rectangular decomposition for sound propagation modeling
  3 | Reading Data...
  4 | Data on Memory: Data size: m 1188 , n 1844
  5 | Number of tests: 4 
  6 | Working...
  7 | Decomposition ready!!
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 11 | adaptive-boxes-gpu
 12 | GPU-accelerated rectangular decomposition for sound propagation modeling
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 15 | Number of tests: 4 
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 17 | Decomposition ready!!
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 21 | adaptive-boxes-gpu
 22 | GPU-accelerated rectangular decomposition for sound propagation modeling
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 24 | Data on Memory: Data size: m 1188 , n 1844
 25 | Number of tests: 4 
 26 | Working...
 27 | Decomposition ready!!
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 31 | adaptive-boxes-gpu
 32 | GPU-accelerated rectangular decomposition for sound propagation modeling
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 34 | Data on Memory: Data size: m 1188 , n 1844
 35 | Number of tests: 4 
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 41 | adaptive-boxes-gpu
 42 | GPU-accelerated rectangular decomposition for sound propagation modeling
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 45 | Number of tests: 4 
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 51 | adaptive-boxes-gpu
 52 | GPU-accelerated rectangular decomposition for sound propagation modeling
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 55 | Number of tests: 4 
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 57 | Decomposition ready!!
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 61 | adaptive-boxes-gpu
 62 | GPU-accelerated rectangular decomposition for sound propagation modeling
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 64 | Data on Memory: Data size: m 1188 , n 1844
 65 | Number of tests: 4 
 66 | Working...
 67 | Decomposition ready!!
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 71 | adaptive-boxes-gpu
 72 | GPU-accelerated rectangular decomposition for sound propagation modeling
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 74 | Data on Memory: Data size: m 1188 , n 1844
 75 | Number of tests: 4 
 76 | Working...
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 81 | adaptive-boxes-gpu
 82 | GPU-accelerated rectangular decomposition for sound propagation modeling
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 84 | Data on Memory: Data size: m 1188 , n 1844
 85 | Number of tests: 4 
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 95 | Number of tests: 4 
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101 | adaptive-boxes-gpu
102 | GPU-accelerated rectangular decomposition for sound propagation modeling
103 | Reading Data...
104 | Data on Memory: Data size: m 1188 , n 1844
105 | Number of tests: 4 
106 | Working...
107 | Decomposition ready!!
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111 | adaptive-boxes-gpu
112 | GPU-accelerated rectangular decomposition for sound propagation modeling
113 | Reading Data...
114 | Data on Memory: Data size: m 1188 , n 1844
115 | Number of tests: 4 
116 | Working...
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121 | adaptive-boxes-gpu
122 | GPU-accelerated rectangular decomposition for sound propagation modeling
123 | Reading Data...
124 | Data on Memory: Data size: m 1188 , n 1844
125 | Number of tests: 4 
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131 | adaptive-boxes-gpu
132 | GPU-accelerated rectangular decomposition for sound propagation modeling
133 | Reading Data...
134 | Data on Memory: Data size: m 1188 , n 1844
135 | Number of tests: 4 
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141 | adaptive-boxes-gpu
142 | GPU-accelerated rectangular decomposition for sound propagation modeling
143 | Reading Data...
144 | Data on Memory: Data size: m 1188 , n 1844
145 | Number of tests: 4 
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147 | Decomposition ready!!
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151 | adaptive-boxes-gpu
152 | GPU-accelerated rectangular decomposition for sound propagation modeling
153 | Reading Data...
154 | Data on Memory: Data size: m 1188 , n 1844
155 | Number of tests: 4 
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161 | adaptive-boxes-gpu
162 | GPU-accelerated rectangular decomposition for sound propagation modeling
163 | Reading Data...
164 | Data on Memory: Data size: m 1188 , n 1844
165 | Number of tests: 4 
166 | Working...
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171 | adaptive-boxes-gpu
172 | GPU-accelerated rectangular decomposition for sound propagation modeling
173 | Reading Data...
174 | Data on Memory: Data size: m 1188 , n 1844
175 | Number of tests: 4 
176 | Working...
177 | Decomposition ready!!
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181 | adaptive-boxes-gpu
182 | GPU-accelerated rectangular decomposition for sound propagation modeling
183 | Reading Data...
184 | Data on Memory: Data size: m 1188 , n 1844
185 | Number of tests: 4 
186 | Working...
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191 | adaptive-boxes-gpu
192 | GPU-accelerated rectangular decomposition for sound propagation modeling
193 | Reading Data...
194 | Data on Memory: Data size: m 1188 , n 1844
195 | Number of tests: 4 
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201 | adaptive-boxes-gpu
202 | GPU-accelerated rectangular decomposition for sound propagation modeling
203 | Reading Data...
204 | Data on Memory: Data size: m 1188 , n 1844
205 | Number of tests: 4 
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211 | adaptive-boxes-gpu
212 | GPU-accelerated rectangular decomposition for sound propagation modeling
213 | Reading Data...
214 | Data on Memory: Data size: m 1188 , n 1844
215 | Number of tests: 4 
216 | Working...
217 | Decomposition ready!!
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220 | Saving rectagles -  total amount of rectangles: 2499
221 | adaptive-boxes-gpu
222 | GPU-accelerated rectangular decomposition for sound propagation modeling
223 | Reading Data...
224 | Data on Memory: Data size: m 1188 , n 1844
225 | Number of tests: 4 
226 | Working...
227 | Decomposition ready!!
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231 | adaptive-boxes-gpu
232 | GPU-accelerated rectangular decomposition for sound propagation modeling
233 | Reading Data...
234 | Data on Memory: Data size: m 1188 , n 1844
235 | Number of tests: 4 
236 | Working...
237 | Decomposition ready!!
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241 | adaptive-boxes-gpu
242 | GPU-accelerated rectangular decomposition for sound propagation modeling
243 | Reading Data...
244 | Data on Memory: Data size: m 1188 , n 1844
245 | Number of tests: 4 
246 | Working...
247 | Decomposition ready!!
248 | -->Elapsed time: 6649.472168
249 | -->Last sum 0
250 | Saving rectagles -  total amount of rectangles: 2499
251 | adaptive-boxes-gpu
252 | GPU-accelerated rectangular decomposition for sound propagation modeling
253 | Reading Data...
254 | Data on Memory: Data size: m 1188 , n 1844
255 | Number of tests: 4 
256 | Working...
257 | Decomposition ready!!
258 | -->Elapsed time: 6773.229980
259 | -->Last sum 0
260 | Saving rectagles -  total amount of rectangles: 2499
261 | adaptive-boxes-gpu
262 | GPU-accelerated rectangular decomposition for sound propagation modeling
263 | Reading Data...
264 | Data on Memory: Data size: m 1188 , n 1844
265 | Number of tests: 4 
266 | Working...
267 | Decomposition ready!!
268 | -->Elapsed time: 6988.843750
269 | -->Last sum 0
270 | Saving rectagles -  total amount of rectangles: 2499
271 | adaptive-boxes-gpu
272 | GPU-accelerated rectangular decomposition for sound propagation modeling
273 | Reading Data...
274 | Data on Memory: Data size: m 1188 , n 1844
275 | Number of tests: 4 
276 | Working...
277 | Decomposition ready!!
278 | -->Elapsed time: 6892.395996
279 | -->Last sum 0
280 | Saving rectagles -  total amount of rectangles: 2499
281 | adaptive-boxes-gpu
282 | GPU-accelerated rectangular decomposition for sound propagation modeling
283 | Reading Data...
284 | Data on Memory: Data size: m 1188 , n 1844
285 | Number of tests: 4 
286 | Working...
287 | Decomposition ready!!
288 | -->Elapsed time: 7076.330078
289 | -->Last sum 0
290 | Saving rectagles -  total amount of rectangles: 2499
291 | adaptive-boxes-gpu
292 | GPU-accelerated rectangular decomposition for sound propagation modeling
293 | Reading Data...
294 | Data on Memory: Data size: m 1188 , n 1844
295 | Number of tests: 4 
296 | Working...
297 | Decomposition ready!!
298 | -->Elapsed time: 6817.642578
299 | -->Last sum 0
300 | Saving rectagles -  total amount of rectangles: 2499
301 | 


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/log_tools/logs/log_complex11.csv_10:
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  1 | adaptive-boxes-gpu
  2 | GPU-accelerated rectangular decomposition for sound propagation modeling
  3 | Reading Data...
  4 | Data on Memory: Data size: m 1188 , n 1844
  5 | Number of tests: 40 
  6 | Working...
  7 | Decomposition ready!!
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  9 | -->Last sum 0
 10 | Saving rectagles -  total amount of rectangles: 2652
 11 | adaptive-boxes-gpu
 12 | GPU-accelerated rectangular decomposition for sound propagation modeling
 13 | Reading Data...
 14 | Data on Memory: Data size: m 1188 , n 1844
 15 | Number of tests: 40 
 16 | Working...
 17 | Decomposition ready!!
 18 | -->Elapsed time: 2443.351562
 19 | -->Last sum 0
 20 | Saving rectagles -  total amount of rectangles: 2652
 21 | adaptive-boxes-gpu
 22 | GPU-accelerated rectangular decomposition for sound propagation modeling
 23 | Reading Data...
 24 | Data on Memory: Data size: m 1188 , n 1844
 25 | Number of tests: 40 
 26 | Working...
 27 | Decomposition ready!!
 28 | -->Elapsed time: 2302.410889
 29 | -->Last sum 0
 30 | Saving rectagles -  total amount of rectangles: 2652
 31 | adaptive-boxes-gpu
 32 | GPU-accelerated rectangular decomposition for sound propagation modeling
 33 | Reading Data...
 34 | Data on Memory: Data size: m 1188 , n 1844
 35 | Number of tests: 40 
 36 | Working...
 37 | Decomposition ready!!
 38 | -->Elapsed time: 2387.427002
 39 | -->Last sum 0
 40 | Saving rectagles -  total amount of rectangles: 2652
 41 | adaptive-boxes-gpu
 42 | GPU-accelerated rectangular decomposition for sound propagation modeling
 43 | Reading Data...
 44 | Data on Memory: Data size: m 1188 , n 1844
 45 | Number of tests: 40 
 46 | Working...
 47 | Decomposition ready!!
 48 | -->Elapsed time: 2307.879883
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 50 | Saving rectagles -  total amount of rectangles: 2652
 51 | adaptive-boxes-gpu
 52 | GPU-accelerated rectangular decomposition for sound propagation modeling
 53 | Reading Data...
 54 | Data on Memory: Data size: m 1188 , n 1844
 55 | Number of tests: 40 
 56 | Working...
 57 | Decomposition ready!!
 58 | -->Elapsed time: 2234.011963
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 61 | adaptive-boxes-gpu
 62 | GPU-accelerated rectangular decomposition for sound propagation modeling
 63 | Reading Data...
 64 | Data on Memory: Data size: m 1188 , n 1844
 65 | Number of tests: 40 
 66 | Working...
 67 | Decomposition ready!!
 68 | -->Elapsed time: 2304.000488
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 71 | adaptive-boxes-gpu
 72 | GPU-accelerated rectangular decomposition for sound propagation modeling
 73 | Reading Data...
 74 | Data on Memory: Data size: m 1188 , n 1844
 75 | Number of tests: 40 
 76 | Working...
 77 | Decomposition ready!!
 78 | -->Elapsed time: 2308.879395
 79 | -->Last sum 0
 80 | Saving rectagles -  total amount of rectangles: 2652
 81 | adaptive-boxes-gpu
 82 | GPU-accelerated rectangular decomposition for sound propagation modeling
 83 | Reading Data...
 84 | Data on Memory: Data size: m 1188 , n 1844
 85 | Number of tests: 40 
 86 | Working...
 87 | Decomposition ready!!
 88 | -->Elapsed time: 2361.982422
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 90 | Saving rectagles -  total amount of rectangles: 2652
 91 | adaptive-boxes-gpu
 92 | GPU-accelerated rectangular decomposition for sound propagation modeling
 93 | Reading Data...
 94 | Data on Memory: Data size: m 1188 , n 1844
 95 | Number of tests: 40 
 96 | Working...
 97 | Decomposition ready!!
 98 | -->Elapsed time: 2307.770264
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100 | Saving rectagles -  total amount of rectangles: 2652
101 | adaptive-boxes-gpu
102 | GPU-accelerated rectangular decomposition for sound propagation modeling
103 | Reading Data...
104 | Data on Memory: Data size: m 1188 , n 1844
105 | Number of tests: 40 
106 | Working...
107 | Decomposition ready!!
108 | -->Elapsed time: 2405.461670
109 | -->Last sum 0
110 | Saving rectagles -  total amount of rectangles: 2652
111 | adaptive-boxes-gpu
112 | GPU-accelerated rectangular decomposition for sound propagation modeling
113 | Reading Data...
114 | Data on Memory: Data size: m 1188 , n 1844
115 | Number of tests: 40 
116 | Working...
117 | Decomposition ready!!
118 | -->Elapsed time: 2381.294189
119 | -->Last sum 0
120 | Saving rectagles -  total amount of rectangles: 2652
121 | adaptive-boxes-gpu
122 | GPU-accelerated rectangular decomposition for sound propagation modeling
123 | Reading Data...
124 | Data on Memory: Data size: m 1188 , n 1844
125 | Number of tests: 40 
126 | Working...
127 | Decomposition ready!!
128 | -->Elapsed time: 2448.043213
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130 | Saving rectagles -  total amount of rectangles: 2652
131 | adaptive-boxes-gpu
132 | GPU-accelerated rectangular decomposition for sound propagation modeling
133 | Reading Data...
134 | Data on Memory: Data size: m 1188 , n 1844
135 | Number of tests: 40 
136 | Working...
137 | Decomposition ready!!
138 | -->Elapsed time: 2321.226318
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140 | Saving rectagles -  total amount of rectangles: 2652
141 | adaptive-boxes-gpu
142 | GPU-accelerated rectangular decomposition for sound propagation modeling
143 | Reading Data...
144 | Data on Memory: Data size: m 1188 , n 1844
145 | Number of tests: 40 
146 | Working...
147 | Decomposition ready!!
148 | -->Elapsed time: 2272.058350
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150 | Saving rectagles -  total amount of rectangles: 2652
151 | adaptive-boxes-gpu
152 | GPU-accelerated rectangular decomposition for sound propagation modeling
153 | Reading Data...
154 | Data on Memory: Data size: m 1188 , n 1844
155 | Number of tests: 40 
156 | Working...
157 | Decomposition ready!!
158 | -->Elapsed time: 2407.082520
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161 | adaptive-boxes-gpu
162 | GPU-accelerated rectangular decomposition for sound propagation modeling
163 | Reading Data...
164 | Data on Memory: Data size: m 1188 , n 1844
165 | Number of tests: 40 
166 | Working...
167 | Decomposition ready!!
168 | -->Elapsed time: 2330.920654
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170 | Saving rectagles -  total amount of rectangles: 2652
171 | adaptive-boxes-gpu
172 | GPU-accelerated rectangular decomposition for sound propagation modeling
173 | Reading Data...
174 | Data on Memory: Data size: m 1188 , n 1844
175 | Number of tests: 40 
176 | Working...
177 | Decomposition ready!!
178 | -->Elapsed time: 2295.625977
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180 | Saving rectagles -  total amount of rectangles: 2652
181 | adaptive-boxes-gpu
182 | GPU-accelerated rectangular decomposition for sound propagation modeling
183 | Reading Data...
184 | Data on Memory: Data size: m 1188 , n 1844
185 | Number of tests: 40 
186 | Working...
187 | Decomposition ready!!
188 | -->Elapsed time: 2274.216797
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190 | Saving rectagles -  total amount of rectangles: 2652
191 | adaptive-boxes-gpu
192 | GPU-accelerated rectangular decomposition for sound propagation modeling
193 | Reading Data...
194 | Data on Memory: Data size: m 1188 , n 1844
195 | Number of tests: 40 
196 | Working...
197 | Decomposition ready!!
198 | -->Elapsed time: 2251.914307
199 | -->Last sum 0
200 | Saving rectagles -  total amount of rectangles: 2652
201 | adaptive-boxes-gpu
202 | GPU-accelerated rectangular decomposition for sound propagation modeling
203 | Reading Data...
204 | Data on Memory: Data size: m 1188 , n 1844
205 | Number of tests: 40 
206 | Working...
207 | Decomposition ready!!
208 | -->Elapsed time: 2343.297852
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211 | adaptive-boxes-gpu
212 | GPU-accelerated rectangular decomposition for sound propagation modeling
213 | Reading Data...
214 | Data on Memory: Data size: m 1188 , n 1844
215 | Number of tests: 40 
216 | Working...
217 | Decomposition ready!!
218 | -->Elapsed time: 2367.481934
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220 | Saving rectagles -  total amount of rectangles: 2652
221 | adaptive-boxes-gpu
222 | GPU-accelerated rectangular decomposition for sound propagation modeling
223 | Reading Data...
224 | Data on Memory: Data size: m 1188 , n 1844
225 | Number of tests: 40 
226 | Working...
227 | Decomposition ready!!
228 | -->Elapsed time: 2396.708740
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230 | Saving rectagles -  total amount of rectangles: 2652
231 | adaptive-boxes-gpu
232 | GPU-accelerated rectangular decomposition for sound propagation modeling
233 | Reading Data...
234 | Data on Memory: Data size: m 1188 , n 1844
235 | Number of tests: 40 
236 | Working...
237 | Decomposition ready!!
238 | -->Elapsed time: 2294.393311
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241 | adaptive-boxes-gpu
242 | GPU-accelerated rectangular decomposition for sound propagation modeling
243 | Reading Data...
244 | Data on Memory: Data size: m 1188 , n 1844
245 | Number of tests: 40 
246 | Working...
247 | Decomposition ready!!
248 | -->Elapsed time: 2338.107910
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250 | Saving rectagles -  total amount of rectangles: 2652
251 | adaptive-boxes-gpu
252 | GPU-accelerated rectangular decomposition for sound propagation modeling
253 | Reading Data...
254 | Data on Memory: Data size: m 1188 , n 1844
255 | Number of tests: 40 
256 | Working...
257 | Decomposition ready!!
258 | -->Elapsed time: 2276.312744
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260 | Saving rectagles -  total amount of rectangles: 2652
261 | adaptive-boxes-gpu
262 | GPU-accelerated rectangular decomposition for sound propagation modeling
263 | Reading Data...
264 | Data on Memory: Data size: m 1188 , n 1844
265 | Number of tests: 40 
266 | Working...
267 | Decomposition ready!!
268 | -->Elapsed time: 2459.661621
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270 | Saving rectagles -  total amount of rectangles: 2652
271 | adaptive-boxes-gpu
272 | GPU-accelerated rectangular decomposition for sound propagation modeling
273 | Reading Data...
274 | Data on Memory: Data size: m 1188 , n 1844
275 | Number of tests: 40 
276 | Working...
277 | Decomposition ready!!
278 | -->Elapsed time: 2336.592529
279 | -->Last sum 0
280 | Saving rectagles -  total amount of rectangles: 2652
281 | adaptive-boxes-gpu
282 | GPU-accelerated rectangular decomposition for sound propagation modeling
283 | Reading Data...
284 | Data on Memory: Data size: m 1188 , n 1844
285 | Number of tests: 40 
286 | Working...
287 | Decomposition ready!!
288 | -->Elapsed time: 2470.438232
289 | -->Last sum 0
290 | Saving rectagles -  total amount of rectangles: 2652
291 | adaptive-boxes-gpu
292 | GPU-accelerated rectangular decomposition for sound propagation modeling
293 | Reading Data...
294 | Data on Memory: Data size: m 1188 , n 1844
295 | Number of tests: 40 
296 | Working...
297 | Decomposition ready!!
298 | -->Elapsed time: 2333.637451
299 | -->Last sum 0
300 | Saving rectagles -  total amount of rectangles: 2652
301 | 


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/log_tools/logs/log_complex11.csv_100:
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  1 | adaptive-boxes-gpu
  2 | GPU-accelerated rectangular decomposition for sound propagation modeling
  3 | Reading Data...
  4 | Data on Memory: Data size: m 1188 , n 1844
  5 | Number of tests: 400 
  6 | Working...
  7 | Decomposition ready!!
  8 | -->Elapsed time: 2062.793701
  9 | -->Last sum 0
 10 | Saving rectagles -  total amount of rectangles: 2655
 11 | adaptive-boxes-gpu
 12 | GPU-accelerated rectangular decomposition for sound propagation modeling
 13 | Reading Data...
 14 | Data on Memory: Data size: m 1188 , n 1844
 15 | Number of tests: 400 
 16 | Working...
 17 | Decomposition ready!!
 18 | -->Elapsed time: 2003.010498
 19 | -->Last sum 0
 20 | Saving rectagles -  total amount of rectangles: 2655
 21 | adaptive-boxes-gpu
 22 | GPU-accelerated rectangular decomposition for sound propagation modeling
 23 | Reading Data...
 24 | Data on Memory: Data size: m 1188 , n 1844
 25 | Number of tests: 400 
 26 | Working...
 27 | Decomposition ready!!
 28 | -->Elapsed time: 1986.606934
 29 | -->Last sum 0
 30 | Saving rectagles -  total amount of rectangles: 2655
 31 | adaptive-boxes-gpu
 32 | GPU-accelerated rectangular decomposition for sound propagation modeling
 33 | Reading Data...
 34 | Data on Memory: Data size: m 1188 , n 1844
 35 | Number of tests: 400 
 36 | Working...
 37 | Decomposition ready!!
 38 | -->Elapsed time: 1898.426514
 39 | -->Last sum 0
 40 | Saving rectagles -  total amount of rectangles: 2655
 41 | adaptive-boxes-gpu
 42 | GPU-accelerated rectangular decomposition for sound propagation modeling
 43 | Reading Data...
 44 | Data on Memory: Data size: m 1188 , n 1844
 45 | Number of tests: 400 
 46 | Working...
 47 | Decomposition ready!!
 48 | -->Elapsed time: 1896.468750
 49 | -->Last sum 0
 50 | Saving rectagles -  total amount of rectangles: 2655
 51 | adaptive-boxes-gpu
 52 | GPU-accelerated rectangular decomposition for sound propagation modeling
 53 | Reading Data...
 54 | Data on Memory: Data size: m 1188 , n 1844
 55 | Number of tests: 400 
 56 | Working...
 57 | Decomposition ready!!
 58 | -->Elapsed time: 1943.077026
 59 | -->Last sum 0
 60 | Saving rectagles -  total amount of rectangles: 2655
 61 | adaptive-boxes-gpu
 62 | GPU-accelerated rectangular decomposition for sound propagation modeling
 63 | Reading Data...
 64 | Data on Memory: Data size: m 1188 , n 1844
 65 | Number of tests: 400 
 66 | Working...
 67 | Decomposition ready!!
 68 | -->Elapsed time: 1997.514893
 69 | -->Last sum 0
 70 | Saving rectagles -  total amount of rectangles: 2655
 71 | adaptive-boxes-gpu
 72 | GPU-accelerated rectangular decomposition for sound propagation modeling
 73 | Reading Data...
 74 | Data on Memory: Data size: m 1188 , n 1844
 75 | Number of tests: 400 
 76 | Working...
 77 | Decomposition ready!!
 78 | -->Elapsed time: 1961.069336
 79 | -->Last sum 0
 80 | Saving rectagles -  total amount of rectangles: 2655
 81 | adaptive-boxes-gpu
 82 | GPU-accelerated rectangular decomposition for sound propagation modeling
 83 | Reading Data...
 84 | Data on Memory: Data size: m 1188 , n 1844
 85 | Number of tests: 400 
 86 | Working...
 87 | Decomposition ready!!
 88 | -->Elapsed time: 1903.628906
 89 | -->Last sum 0
 90 | Saving rectagles -  total amount of rectangles: 2655
 91 | adaptive-boxes-gpu
 92 | GPU-accelerated rectangular decomposition for sound propagation modeling
 93 | Reading Data...
 94 | Data on Memory: Data size: m 1188 , n 1844
 95 | Number of tests: 400 
 96 | Working...
 97 | Decomposition ready!!
 98 | -->Elapsed time: 1848.305542
 99 | -->Last sum 0
100 | Saving rectagles -  total amount of rectangles: 2655
101 | adaptive-boxes-gpu
102 | GPU-accelerated rectangular decomposition for sound propagation modeling
103 | Reading Data...
104 | Data on Memory: Data size: m 1188 , n 1844
105 | Number of tests: 400 
106 | Working...
107 | Decomposition ready!!
108 | -->Elapsed time: 1953.310791
109 | -->Last sum 0
110 | Saving rectagles -  total amount of rectangles: 2655
111 | adaptive-boxes-gpu
112 | GPU-accelerated rectangular decomposition for sound propagation modeling
113 | Reading Data...
114 | Data on Memory: Data size: m 1188 , n 1844
115 | Number of tests: 400 
116 | Working...
117 | Decomposition ready!!
118 | -->Elapsed time: 1938.983887
119 | -->Last sum 0
120 | Saving rectagles -  total amount of rectangles: 2655
121 | adaptive-boxes-gpu
122 | GPU-accelerated rectangular decomposition for sound propagation modeling
123 | Reading Data...
124 | Data on Memory: Data size: m 1188 , n 1844
125 | Number of tests: 400 
126 | Working...
127 | Decomposition ready!!
128 | -->Elapsed time: 1911.947510
129 | -->Last sum 0
130 | Saving rectagles -  total amount of rectangles: 2655
131 | adaptive-boxes-gpu
132 | GPU-accelerated rectangular decomposition for sound propagation modeling
133 | Reading Data...
134 | Data on Memory: Data size: m 1188 , n 1844
135 | Number of tests: 400 
136 | Working...
137 | Decomposition ready!!
138 | -->Elapsed time: 1838.324463
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140 | Saving rectagles -  total amount of rectangles: 2655
141 | adaptive-boxes-gpu
142 | GPU-accelerated rectangular decomposition for sound propagation modeling
143 | Reading Data...
144 | Data on Memory: Data size: m 1188 , n 1844
145 | Number of tests: 400 
146 | Working...
147 | Decomposition ready!!
148 | -->Elapsed time: 1887.878784
149 | -->Last sum 0
150 | Saving rectagles -  total amount of rectangles: 2655
151 | adaptive-boxes-gpu
152 | GPU-accelerated rectangular decomposition for sound propagation modeling
153 | Reading Data...
154 | Data on Memory: Data size: m 1188 , n 1844
155 | Number of tests: 400 
156 | Working...
157 | Decomposition ready!!
158 | -->Elapsed time: 1901.973633
159 | -->Last sum 0
160 | Saving rectagles -  total amount of rectangles: 2655
161 | adaptive-boxes-gpu
162 | GPU-accelerated rectangular decomposition for sound propagation modeling
163 | Reading Data...
164 | Data on Memory: Data size: m 1188 , n 1844
165 | Number of tests: 400 
166 | Working...
167 | Decomposition ready!!
168 | -->Elapsed time: 1865.284302
169 | -->Last sum 0
170 | Saving rectagles -  total amount of rectangles: 2655
171 | adaptive-boxes-gpu
172 | GPU-accelerated rectangular decomposition for sound propagation modeling
173 | Reading Data...
174 | Data on Memory: Data size: m 1188 , n 1844
175 | Number of tests: 400 
176 | Working...
177 | Decomposition ready!!
178 | -->Elapsed time: 1820.293091
179 | -->Last sum 0
180 | Saving rectagles -  total amount of rectangles: 2655
181 | adaptive-boxes-gpu
182 | GPU-accelerated rectangular decomposition for sound propagation modeling
183 | Reading Data...
184 | Data on Memory: Data size: m 1188 , n 1844
185 | Number of tests: 400 
186 | Working...
187 | Decomposition ready!!
188 | -->Elapsed time: 1949.180298
189 | -->Last sum 0
190 | Saving rectagles -  total amount of rectangles: 2655
191 | adaptive-boxes-gpu
192 | GPU-accelerated rectangular decomposition for sound propagation modeling
193 | Reading Data...
194 | Data on Memory: Data size: m 1188 , n 1844
195 | Number of tests: 400 
196 | Working...
197 | Decomposition ready!!
198 | -->Elapsed time: 1949.615356
199 | -->Last sum 0
200 | Saving rectagles -  total amount of rectangles: 2655
201 | adaptive-boxes-gpu
202 | GPU-accelerated rectangular decomposition for sound propagation modeling
203 | Reading Data...
204 | Data on Memory: Data size: m 1188 , n 1844
205 | Number of tests: 400 
206 | Working...
207 | Decomposition ready!!
208 | -->Elapsed time: 1909.108276
209 | -->Last sum 0
210 | Saving rectagles -  total amount of rectangles: 2655
211 | adaptive-boxes-gpu
212 | GPU-accelerated rectangular decomposition for sound propagation modeling
213 | Reading Data...
214 | Data on Memory: Data size: m 1188 , n 1844
215 | Number of tests: 400 
216 | Working...
217 | Decomposition ready!!
218 | -->Elapsed time: 1890.934814
219 | -->Last sum 0
220 | Saving rectagles -  total amount of rectangles: 2655
221 | adaptive-boxes-gpu
222 | GPU-accelerated rectangular decomposition for sound propagation modeling
223 | Reading Data...
224 | Data on Memory: Data size: m 1188 , n 1844
225 | Number of tests: 400 
226 | Working...
227 | Decomposition ready!!
228 | -->Elapsed time: 2009.789551
229 | -->Last sum 0
230 | Saving rectagles -  total amount of rectangles: 2655
231 | adaptive-boxes-gpu
232 | GPU-accelerated rectangular decomposition for sound propagation modeling
233 | Reading Data...
234 | Data on Memory: Data size: m 1188 , n 1844
235 | Number of tests: 400 
236 | Working...
237 | Decomposition ready!!
238 | -->Elapsed time: 1953.627686
239 | -->Last sum 0
240 | Saving rectagles -  total amount of rectangles: 2655
241 | adaptive-boxes-gpu
242 | GPU-accelerated rectangular decomposition for sound propagation modeling
243 | Reading Data...
244 | Data on Memory: Data size: m 1188 , n 1844
245 | Number of tests: 400 
246 | Working...
247 | Decomposition ready!!
248 | -->Elapsed time: 1937.686279
249 | -->Last sum 0
250 | Saving rectagles -  total amount of rectangles: 2655
251 | adaptive-boxes-gpu
252 | GPU-accelerated rectangular decomposition for sound propagation modeling
253 | Reading Data...
254 | Data on Memory: Data size: m 1188 , n 1844
255 | Number of tests: 400 
256 | Working...
257 | Decomposition ready!!
258 | -->Elapsed time: 2001.057739
259 | -->Last sum 0
260 | Saving rectagles -  total amount of rectangles: 2655
261 | adaptive-boxes-gpu
262 | GPU-accelerated rectangular decomposition for sound propagation modeling
263 | Reading Data...
264 | Data on Memory: Data size: m 1188 , n 1844
265 | Number of tests: 400 
266 | Working...
267 | Decomposition ready!!
268 | -->Elapsed time: 2016.275513
269 | -->Last sum 0
270 | Saving rectagles -  total amount of rectangles: 2655
271 | adaptive-boxes-gpu
272 | GPU-accelerated rectangular decomposition for sound propagation modeling
273 | Reading Data...
274 | Data on Memory: Data size: m 1188 , n 1844
275 | Number of tests: 400 
276 | Working...
277 | Decomposition ready!!
278 | -->Elapsed time: 1942.794312
279 | -->Last sum 0
280 | Saving rectagles -  total amount of rectangles: 2655
281 | adaptive-boxes-gpu
282 | GPU-accelerated rectangular decomposition for sound propagation modeling
283 | Reading Data...
284 | Data on Memory: Data size: m 1188 , n 1844
285 | Number of tests: 400 
286 | Working...
287 | Decomposition ready!!
288 | -->Elapsed time: 2007.533569
289 | -->Last sum 0
290 | Saving rectagles -  total amount of rectangles: 2655
291 | adaptive-boxes-gpu
292 | GPU-accelerated rectangular decomposition for sound propagation modeling
293 | Reading Data...
294 | Data on Memory: Data size: m 1188 , n 1844
295 | Number of tests: 400 
296 | Working...
297 | Decomposition ready!!
298 | -->Elapsed time: 2072.739258
299 | -->Last sum 0
300 | Saving rectagles -  total amount of rectangles: 2655
301 | 


--------------------------------------------------------------------------------
/log_tools/logs/log_complex11.csv_600::
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  1 | adaptive-boxes-gpu
  2 | GPU-accelerated rectangular decomposition for sound propagation modeling
  3 | Reading Data...
  4 | Data on Memory: Data size: m 1188 , n 1844
  5 | Number of tests: 2400 
  6 | Working...
  7 | Decomposition ready!!
  8 | -->Elapsed time: 2003.566895
  9 | -->Last sum 0
 10 | Saving rectagles -  total amount of rectangles: 2650
 11 | adaptive-boxes-gpu
 12 | GPU-accelerated rectangular decomposition for sound propagation modeling
 13 | Reading Data...
 14 | Data on Memory: Data size: m 1188 , n 1844
 15 | Number of tests: 2400 
 16 | Working...
 17 | Decomposition ready!!
 18 | -->Elapsed time: 2009.181641
 19 | -->Last sum 0
 20 | Saving rectagles -  total amount of rectangles: 2650
 21 | adaptive-boxes-gpu
 22 | GPU-accelerated rectangular decomposition for sound propagation modeling
 23 | Reading Data...
 24 | Data on Memory: Data size: m 1188 , n 1844
 25 | Number of tests: 2400 
 26 | Working...
 27 | Decomposition ready!!
 28 | -->Elapsed time: 2037.253174
 29 | -->Last sum 0
 30 | Saving rectagles -  total amount of rectangles: 2650
 31 | adaptive-boxes-gpu
 32 | GPU-accelerated rectangular decomposition for sound propagation modeling
 33 | Reading Data...
 34 | Data on Memory: Data size: m 1188 , n 1844
 35 | Number of tests: 2400 
 36 | Working...
 37 | Decomposition ready!!
 38 | -->Elapsed time: 1971.339478
 39 | -->Last sum 0
 40 | Saving rectagles -  total amount of rectangles: 2650
 41 | adaptive-boxes-gpu
 42 | GPU-accelerated rectangular decomposition for sound propagation modeling
 43 | Reading Data...
 44 | Data on Memory: Data size: m 1188 , n 1844
 45 | Number of tests: 2400 
 46 | Working...
 47 | Decomposition ready!!
 48 | -->Elapsed time: 1982.179321
 49 | -->Last sum 0
 50 | Saving rectagles -  total amount of rectangles: 2650
 51 | adaptive-boxes-gpu
 52 | GPU-accelerated rectangular decomposition for sound propagation modeling
 53 | Reading Data...
 54 | Data on Memory: Data size: m 1188 , n 1844
 55 | Number of tests: 2400 
 56 | Working...
 57 | Decomposition ready!!
 58 | -->Elapsed time: 2055.387207
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 60 | Saving rectagles -  total amount of rectangles: 2650
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101 | adaptive-boxes-gpu
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242 | GPU-accelerated rectangular decomposition for sound propagation modeling
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252 | GPU-accelerated rectangular decomposition for sound propagation modeling
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262 | GPU-accelerated rectangular decomposition for sound propagation modeling
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275 | Number of tests: 2400 
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282 | GPU-accelerated rectangular decomposition for sound propagation modeling
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285 | Number of tests: 2400 
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292 | GPU-accelerated rectangular decomposition for sound propagation modeling
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295 | Number of tests: 2400 
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301 | 


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/log_tools/logs/log_hall10.csv_1:
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  1 | adaptive-boxes-gpu
  2 | GPU-accelerated rectangular decomposition for sound propagation modeling
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 21 | adaptive-boxes-gpu
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 25 | Number of tests: 4 
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102 | GPU-accelerated rectangular decomposition for sound propagation modeling
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111 | adaptive-boxes-gpu
112 | GPU-accelerated rectangular decomposition for sound propagation modeling
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115 | Number of tests: 4 
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121 | adaptive-boxes-gpu
122 | GPU-accelerated rectangular decomposition for sound propagation modeling
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131 | adaptive-boxes-gpu
132 | GPU-accelerated rectangular decomposition for sound propagation modeling
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175 | Number of tests: 4 
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221 | adaptive-boxes-gpu
222 | GPU-accelerated rectangular decomposition for sound propagation modeling
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232 | GPU-accelerated rectangular decomposition for sound propagation modeling
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235 | Number of tests: 4 
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242 | GPU-accelerated rectangular decomposition for sound propagation modeling
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245 | Number of tests: 4 
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252 | GPU-accelerated rectangular decomposition for sound propagation modeling
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262 | GPU-accelerated rectangular decomposition for sound propagation modeling
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272 | GPU-accelerated rectangular decomposition for sound propagation modeling
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282 | GPU-accelerated rectangular decomposition for sound propagation modeling
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292 | GPU-accelerated rectangular decomposition for sound propagation modeling
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301 | 


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/log_tools/logs/log_hall10.csv_10:
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  1 | adaptive-boxes-gpu
  2 | GPU-accelerated rectangular decomposition for sound propagation modeling
  3 | Reading Data...
  4 | Data on Memory: Data size: m 496 , n 922
  5 | Number of tests: 40 
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 15 | Number of tests: 40 
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 25 | Number of tests: 40 
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 35 | Number of tests: 40 
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 45 | Number of tests: 40 
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 75 | Number of tests: 40 
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 85 | Number of tests: 40 
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 95 | Number of tests: 40 
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105 | Number of tests: 40 
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115 | Number of tests: 40 
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122 | GPU-accelerated rectangular decomposition for sound propagation modeling
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125 | Number of tests: 40 
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135 | Number of tests: 40 
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145 | Number of tests: 40 
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155 | Number of tests: 40 
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165 | Number of tests: 40 
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172 | GPU-accelerated rectangular decomposition for sound propagation modeling
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174 | Data on Memory: Data size: m 496 , n 922
175 | Number of tests: 40 
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181 | adaptive-boxes-gpu
182 | GPU-accelerated rectangular decomposition for sound propagation modeling
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184 | Data on Memory: Data size: m 496 , n 922
185 | Number of tests: 40 
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191 | adaptive-boxes-gpu
192 | GPU-accelerated rectangular decomposition for sound propagation modeling
193 | Reading Data...
194 | Data on Memory: Data size: m 496 , n 922
195 | Number of tests: 40 
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201 | adaptive-boxes-gpu
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205 | Number of tests: 40 
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211 | adaptive-boxes-gpu
212 | GPU-accelerated rectangular decomposition for sound propagation modeling
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215 | Number of tests: 40 
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221 | adaptive-boxes-gpu
222 | GPU-accelerated rectangular decomposition for sound propagation modeling
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225 | Number of tests: 40 
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231 | adaptive-boxes-gpu
232 | GPU-accelerated rectangular decomposition for sound propagation modeling
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235 | Number of tests: 40 
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241 | adaptive-boxes-gpu
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245 | Number of tests: 40 
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251 | adaptive-boxes-gpu
252 | GPU-accelerated rectangular decomposition for sound propagation modeling
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261 | adaptive-boxes-gpu
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271 | adaptive-boxes-gpu
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275 | Number of tests: 40 
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281 | adaptive-boxes-gpu
282 | GPU-accelerated rectangular decomposition for sound propagation modeling
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284 | Data on Memory: Data size: m 496 , n 922
285 | Number of tests: 40 
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291 | adaptive-boxes-gpu
292 | GPU-accelerated rectangular decomposition for sound propagation modeling
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294 | Data on Memory: Data size: m 496 , n 922
295 | Number of tests: 40 
296 | Working...
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301 | 


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/log_tools/logs/log_hall10.csv_100:
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  1 | adaptive-boxes-gpu
  2 | GPU-accelerated rectangular decomposition for sound propagation modeling
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  5 | Number of tests: 400 
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 15 | Number of tests: 400 
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 21 | adaptive-boxes-gpu
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 25 | Number of tests: 400 
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 31 | adaptive-boxes-gpu
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121 | adaptive-boxes-gpu
122 | GPU-accelerated rectangular decomposition for sound propagation modeling
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125 | Number of tests: 400 
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131 | adaptive-boxes-gpu
132 | GPU-accelerated rectangular decomposition for sound propagation modeling
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175 | Number of tests: 400 
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182 | GPU-accelerated rectangular decomposition for sound propagation modeling
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212 | GPU-accelerated rectangular decomposition for sound propagation modeling
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221 | adaptive-boxes-gpu
222 | GPU-accelerated rectangular decomposition for sound propagation modeling
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225 | Number of tests: 400 
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232 | GPU-accelerated rectangular decomposition for sound propagation modeling
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235 | Number of tests: 400 
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241 | adaptive-boxes-gpu
242 | GPU-accelerated rectangular decomposition for sound propagation modeling
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245 | Number of tests: 400 
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262 | GPU-accelerated rectangular decomposition for sound propagation modeling
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272 | GPU-accelerated rectangular decomposition for sound propagation modeling
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275 | Number of tests: 400 
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282 | GPU-accelerated rectangular decomposition for sound propagation modeling
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285 | Number of tests: 400 
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292 | GPU-accelerated rectangular decomposition for sound propagation modeling
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295 | Number of tests: 400 
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301 | 


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/log_tools/logs/log_hall10.csv_600::
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  1 | adaptive-boxes-gpu
  2 | GPU-accelerated rectangular decomposition for sound propagation modeling
  3 | Reading Data...
  4 | Data on Memory: Data size: m 496 , n 922
  5 | Number of tests: 2400 
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 11 | adaptive-boxes-gpu
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 25 | Number of tests: 2400 
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 41 | adaptive-boxes-gpu
 42 | GPU-accelerated rectangular decomposition for sound propagation modeling
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 61 | adaptive-boxes-gpu
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 65 | Number of tests: 2400 
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 75 | Number of tests: 2400 
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101 | adaptive-boxes-gpu
102 | GPU-accelerated rectangular decomposition for sound propagation modeling
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105 | Number of tests: 2400 
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111 | adaptive-boxes-gpu
112 | GPU-accelerated rectangular decomposition for sound propagation modeling
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115 | Number of tests: 2400 
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121 | adaptive-boxes-gpu
122 | GPU-accelerated rectangular decomposition for sound propagation modeling
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125 | Number of tests: 2400 
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131 | adaptive-boxes-gpu
132 | GPU-accelerated rectangular decomposition for sound propagation modeling
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135 | Number of tests: 2400 
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142 | GPU-accelerated rectangular decomposition for sound propagation modeling
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145 | Number of tests: 2400 
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152 | GPU-accelerated rectangular decomposition for sound propagation modeling
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155 | Number of tests: 2400 
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161 | adaptive-boxes-gpu
162 | GPU-accelerated rectangular decomposition for sound propagation modeling
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165 | Number of tests: 2400 
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171 | adaptive-boxes-gpu
172 | GPU-accelerated rectangular decomposition for sound propagation modeling
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175 | Number of tests: 2400 
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181 | adaptive-boxes-gpu
182 | GPU-accelerated rectangular decomposition for sound propagation modeling
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185 | Number of tests: 2400 
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191 | adaptive-boxes-gpu
192 | GPU-accelerated rectangular decomposition for sound propagation modeling
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195 | Number of tests: 2400 
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202 | GPU-accelerated rectangular decomposition for sound propagation modeling
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205 | Number of tests: 2400 
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211 | adaptive-boxes-gpu
212 | GPU-accelerated rectangular decomposition for sound propagation modeling
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215 | Number of tests: 2400 
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221 | adaptive-boxes-gpu
222 | GPU-accelerated rectangular decomposition for sound propagation modeling
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224 | Data on Memory: Data size: m 496 , n 922
225 | Number of tests: 2400 
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231 | adaptive-boxes-gpu
232 | GPU-accelerated rectangular decomposition for sound propagation modeling
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234 | Data on Memory: Data size: m 496 , n 922
235 | Number of tests: 2400 
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241 | adaptive-boxes-gpu
242 | GPU-accelerated rectangular decomposition for sound propagation modeling
243 | Reading Data...
244 | Data on Memory: Data size: m 496 , n 922
245 | Number of tests: 2400 
246 | Working...
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251 | adaptive-boxes-gpu
252 | GPU-accelerated rectangular decomposition for sound propagation modeling
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254 | Data on Memory: Data size: m 496 , n 922
255 | Number of tests: 2400 
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261 | adaptive-boxes-gpu
262 | GPU-accelerated rectangular decomposition for sound propagation modeling
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264 | Data on Memory: Data size: m 496 , n 922
265 | Number of tests: 2400 
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271 | adaptive-boxes-gpu
272 | GPU-accelerated rectangular decomposition for sound propagation modeling
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274 | Data on Memory: Data size: m 496 , n 922
275 | Number of tests: 2400 
276 | Working...
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281 | adaptive-boxes-gpu
282 | GPU-accelerated rectangular decomposition for sound propagation modeling
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284 | Data on Memory: Data size: m 496 , n 922
285 | Number of tests: 2400 
286 | Working...
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291 | adaptive-boxes-gpu
292 | GPU-accelerated rectangular decomposition for sound propagation modeling
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294 | Data on Memory: Data size: m 496 , n 922
295 | Number of tests: 2400 
296 | Working...
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299 | -->Last sum 0
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301 | 


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/log_tools/logs/log_theatre12.csv_1:
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  1 | adaptive-boxes-gpu
  2 | GPU-accelerated rectangular decomposition for sound propagation modeling
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  4 | Data on Memory: Data size: m 1834 , n 3688
  5 | Number of tests: 4 
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 15 | Number of tests: 4 
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 25 | Number of tests: 4 
 26 | Working...
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252 | GPU-accelerated rectangular decomposition for sound propagation modeling
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282 | GPU-accelerated rectangular decomposition for sound propagation modeling
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292 | GPU-accelerated rectangular decomposition for sound propagation modeling
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301 | 


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/log_tools/logs/log_theatre12.csv_10:
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  1 | adaptive-boxes-gpu
  2 | GPU-accelerated rectangular decomposition for sound propagation modeling
  3 | Reading Data...
  4 | Data on Memory: Data size: m 1834 , n 3688
  5 | Number of tests: 40 
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 42 | GPU-accelerated rectangular decomposition for sound propagation modeling
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102 | GPU-accelerated rectangular decomposition for sound propagation modeling
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105 | Number of tests: 40 
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112 | GPU-accelerated rectangular decomposition for sound propagation modeling
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115 | Number of tests: 40 
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121 | adaptive-boxes-gpu
122 | GPU-accelerated rectangular decomposition for sound propagation modeling
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125 | Number of tests: 40 
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132 | GPU-accelerated rectangular decomposition for sound propagation modeling
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152 | GPU-accelerated rectangular decomposition for sound propagation modeling
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155 | Number of tests: 40 
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162 | GPU-accelerated rectangular decomposition for sound propagation modeling
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172 | GPU-accelerated rectangular decomposition for sound propagation modeling
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175 | Number of tests: 40 
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182 | GPU-accelerated rectangular decomposition for sound propagation modeling
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185 | Number of tests: 40 
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195 | Number of tests: 40 
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205 | Number of tests: 40 
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212 | GPU-accelerated rectangular decomposition for sound propagation modeling
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215 | Number of tests: 40 
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221 | adaptive-boxes-gpu
222 | GPU-accelerated rectangular decomposition for sound propagation modeling
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225 | Number of tests: 40 
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232 | GPU-accelerated rectangular decomposition for sound propagation modeling
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235 | Number of tests: 40 
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242 | GPU-accelerated rectangular decomposition for sound propagation modeling
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245 | Number of tests: 40 
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252 | GPU-accelerated rectangular decomposition for sound propagation modeling
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255 | Number of tests: 40 
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262 | GPU-accelerated rectangular decomposition for sound propagation modeling
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272 | GPU-accelerated rectangular decomposition for sound propagation modeling
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275 | Number of tests: 40 
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282 | GPU-accelerated rectangular decomposition for sound propagation modeling
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285 | Number of tests: 40 
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292 | GPU-accelerated rectangular decomposition for sound propagation modeling
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295 | Number of tests: 40 
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301 | 


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/log_tools/logs/log_theatre12.csv_100:
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  1 | adaptive-boxes-gpu
  2 | GPU-accelerated rectangular decomposition for sound propagation modeling
  3 | Reading Data...
  4 | Data on Memory: Data size: m 1834 , n 3688
  5 | Number of tests: 400 
  6 | Working...
  7 | Decomposition ready!!
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 15 | Number of tests: 400 
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 21 | adaptive-boxes-gpu
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 24 | Data on Memory: Data size: m 1834 , n 3688
 25 | Number of tests: 400 
 26 | Working...
 27 | Decomposition ready!!
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 31 | adaptive-boxes-gpu
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 35 | Number of tests: 400 
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 45 | Number of tests: 400 
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 51 | adaptive-boxes-gpu
 52 | GPU-accelerated rectangular decomposition for sound propagation modeling
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 55 | Number of tests: 400 
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 65 | Number of tests: 400 
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 75 | Number of tests: 400 
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 85 | Number of tests: 400 
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 95 | Number of tests: 400 
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101 | adaptive-boxes-gpu
102 | GPU-accelerated rectangular decomposition for sound propagation modeling
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104 | Data on Memory: Data size: m 1834 , n 3688
105 | Number of tests: 400 
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111 | adaptive-boxes-gpu
112 | GPU-accelerated rectangular decomposition for sound propagation modeling
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114 | Data on Memory: Data size: m 1834 , n 3688
115 | Number of tests: 400 
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121 | adaptive-boxes-gpu
122 | GPU-accelerated rectangular decomposition for sound propagation modeling
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124 | Data on Memory: Data size: m 1834 , n 3688
125 | Number of tests: 400 
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131 | adaptive-boxes-gpu
132 | GPU-accelerated rectangular decomposition for sound propagation modeling
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134 | Data on Memory: Data size: m 1834 , n 3688
135 | Number of tests: 400 
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141 | adaptive-boxes-gpu
142 | GPU-accelerated rectangular decomposition for sound propagation modeling
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144 | Data on Memory: Data size: m 1834 , n 3688
145 | Number of tests: 400 
146 | Working...
147 | Decomposition ready!!
148 | -->Elapsed time: 2492.610840
149 | -->Last sum 0
150 | Saving rectagles -  total amount of rectangles: 1559
151 | adaptive-boxes-gpu
152 | GPU-accelerated rectangular decomposition for sound propagation modeling
153 | Reading Data...
154 | Data on Memory: Data size: m 1834 , n 3688
155 | Number of tests: 400 
156 | Working...
157 | Decomposition ready!!
158 | -->Elapsed time: 2499.356201
159 | -->Last sum 0
160 | Saving rectagles -  total amount of rectangles: 1559
161 | adaptive-boxes-gpu
162 | GPU-accelerated rectangular decomposition for sound propagation modeling
163 | Reading Data...
164 | Data on Memory: Data size: m 1834 , n 3688
165 | Number of tests: 400 
166 | Working...
167 | Decomposition ready!!
168 | -->Elapsed time: 2495.794434
169 | -->Last sum 0
170 | Saving rectagles -  total amount of rectangles: 1559
171 | adaptive-boxes-gpu
172 | GPU-accelerated rectangular decomposition for sound propagation modeling
173 | Reading Data...
174 | Data on Memory: Data size: m 1834 , n 3688
175 | Number of tests: 400 
176 | Working...
177 | Decomposition ready!!
178 | -->Elapsed time: 2502.327148
179 | -->Last sum 0
180 | Saving rectagles -  total amount of rectangles: 1559
181 | adaptive-boxes-gpu
182 | GPU-accelerated rectangular decomposition for sound propagation modeling
183 | Reading Data...
184 | Data on Memory: Data size: m 1834 , n 3688
185 | Number of tests: 400 
186 | Working...
187 | Decomposition ready!!
188 | -->Elapsed time: 2501.814941
189 | -->Last sum 0
190 | Saving rectagles -  total amount of rectangles: 1559
191 | adaptive-boxes-gpu
192 | GPU-accelerated rectangular decomposition for sound propagation modeling
193 | Reading Data...
194 | Data on Memory: Data size: m 1834 , n 3688
195 | Number of tests: 400 
196 | Working...
197 | Decomposition ready!!
198 | -->Elapsed time: 2485.353760
199 | -->Last sum 0
200 | Saving rectagles -  total amount of rectangles: 1559
201 | adaptive-boxes-gpu
202 | GPU-accelerated rectangular decomposition for sound propagation modeling
203 | Reading Data...
204 | Data on Memory: Data size: m 1834 , n 3688
205 | Number of tests: 400 
206 | Working...
207 | Decomposition ready!!
208 | -->Elapsed time: 2457.180664
209 | -->Last sum 0
210 | Saving rectagles -  total amount of rectangles: 1559
211 | adaptive-boxes-gpu
212 | GPU-accelerated rectangular decomposition for sound propagation modeling
213 | Reading Data...
214 | Data on Memory: Data size: m 1834 , n 3688
215 | Number of tests: 400 
216 | Working...
217 | Decomposition ready!!
218 | -->Elapsed time: 2448.049805
219 | -->Last sum 0
220 | Saving rectagles -  total amount of rectangles: 1559
221 | adaptive-boxes-gpu
222 | GPU-accelerated rectangular decomposition for sound propagation modeling
223 | Reading Data...
224 | Data on Memory: Data size: m 1834 , n 3688
225 | Number of tests: 400 
226 | Working...
227 | Decomposition ready!!
228 | -->Elapsed time: 2450.286865
229 | -->Last sum 0
230 | Saving rectagles -  total amount of rectangles: 1559
231 | adaptive-boxes-gpu
232 | GPU-accelerated rectangular decomposition for sound propagation modeling
233 | Reading Data...
234 | Data on Memory: Data size: m 1834 , n 3688
235 | Number of tests: 400 
236 | Working...
237 | Decomposition ready!!
238 | -->Elapsed time: 2456.872070
239 | -->Last sum 0
240 | Saving rectagles -  total amount of rectangles: 1559
241 | adaptive-boxes-gpu
242 | GPU-accelerated rectangular decomposition for sound propagation modeling
243 | Reading Data...
244 | Data on Memory: Data size: m 1834 , n 3688
245 | Number of tests: 400 
246 | Working...
247 | Decomposition ready!!
248 | -->Elapsed time: 2528.965576
249 | -->Last sum 0
250 | Saving rectagles -  total amount of rectangles: 1559
251 | adaptive-boxes-gpu
252 | GPU-accelerated rectangular decomposition for sound propagation modeling
253 | Reading Data...
254 | Data on Memory: Data size: m 1834 , n 3688
255 | Number of tests: 400 
256 | Working...
257 | Decomposition ready!!
258 | -->Elapsed time: 2462.462891
259 | -->Last sum 0
260 | Saving rectagles -  total amount of rectangles: 1559
261 | adaptive-boxes-gpu
262 | GPU-accelerated rectangular decomposition for sound propagation modeling
263 | Reading Data...
264 | Data on Memory: Data size: m 1834 , n 3688
265 | Number of tests: 400 
266 | Working...
267 | Decomposition ready!!
268 | -->Elapsed time: 2461.122559
269 | -->Last sum 0
270 | Saving rectagles -  total amount of rectangles: 1559
271 | adaptive-boxes-gpu
272 | GPU-accelerated rectangular decomposition for sound propagation modeling
273 | Reading Data...
274 | Data on Memory: Data size: m 1834 , n 3688
275 | Number of tests: 400 
276 | Working...
277 | Decomposition ready!!
278 | -->Elapsed time: 2471.590820
279 | -->Last sum 0
280 | Saving rectagles -  total amount of rectangles: 1559
281 | adaptive-boxes-gpu
282 | GPU-accelerated rectangular decomposition for sound propagation modeling
283 | Reading Data...
284 | Data on Memory: Data size: m 1834 , n 3688
285 | Number of tests: 400 
286 | Working...
287 | Decomposition ready!!
288 | -->Elapsed time: 2545.336914
289 | -->Last sum 0
290 | Saving rectagles -  total amount of rectangles: 1559
291 | adaptive-boxes-gpu
292 | GPU-accelerated rectangular decomposition for sound propagation modeling
293 | Reading Data...
294 | Data on Memory: Data size: m 1834 , n 3688
295 | Number of tests: 400 
296 | Working...
297 | Decomposition ready!!
298 | -->Elapsed time: 2484.146240
299 | -->Last sum 0
300 | Saving rectagles -  total amount of rectangles: 1559
301 | 


--------------------------------------------------------------------------------
/log_tools/logs/log_theatre12.csv_600::
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  1 | adaptive-boxes-gpu
  2 | GPU-accelerated rectangular decomposition for sound propagation modeling
  3 | Reading Data...
  4 | Data on Memory: Data size: m 1834 , n 3688
  5 | Number of tests: 2400 
  6 | Working...
  7 | Decomposition ready!!
  8 | -->Elapsed time: 2626.158447
  9 | -->Last sum 0
 10 | Saving rectagles -  total amount of rectangles: 1556
 11 | adaptive-boxes-gpu
 12 | GPU-accelerated rectangular decomposition for sound propagation modeling
 13 | Reading Data...
 14 | Data on Memory: Data size: m 1834 , n 3688
 15 | Number of tests: 2400 
 16 | Working...
 17 | Decomposition ready!!
 18 | -->Elapsed time: 2604.859619
 19 | -->Last sum 0
 20 | Saving rectagles -  total amount of rectangles: 1557
 21 | adaptive-boxes-gpu
 22 | GPU-accelerated rectangular decomposition for sound propagation modeling
 23 | Reading Data...
 24 | Data on Memory: Data size: m 1834 , n 3688
 25 | Number of tests: 2400 
 26 | Working...
 27 | Decomposition ready!!
 28 | -->Elapsed time: 2642.518555
 29 | -->Last sum 0
 30 | Saving rectagles -  total amount of rectangles: 1556
 31 | adaptive-boxes-gpu
 32 | GPU-accelerated rectangular decomposition for sound propagation modeling
 33 | Reading Data...
 34 | Data on Memory: Data size: m 1834 , n 3688
 35 | Number of tests: 2400 
 36 | Working...
 37 | Decomposition ready!!
 38 | -->Elapsed time: 2766.142334
 39 | -->Last sum 0
 40 | Saving rectagles -  total amount of rectangles: 1556
 41 | adaptive-boxes-gpu
 42 | GPU-accelerated rectangular decomposition for sound propagation modeling
 43 | Reading Data...
 44 | Data on Memory: Data size: m 1834 , n 3688
 45 | Number of tests: 2400 
 46 | Working...
 47 | Decomposition ready!!
 48 | -->Elapsed time: 2683.927490
 49 | -->Last sum 0
 50 | Saving rectagles -  total amount of rectangles: 1558
 51 | adaptive-boxes-gpu
 52 | GPU-accelerated rectangular decomposition for sound propagation modeling
 53 | Reading Data...
 54 | Data on Memory: Data size: m 1834 , n 3688
 55 | Number of tests: 2400 
 56 | Working...
 57 | Decomposition ready!!
 58 | -->Elapsed time: 2642.398926
 59 | -->Last sum 0
 60 | Saving rectagles -  total amount of rectangles: 1558
 61 | adaptive-boxes-gpu
 62 | GPU-accelerated rectangular decomposition for sound propagation modeling
 63 | Reading Data...
 64 | Data on Memory: Data size: m 1834 , n 3688
 65 | Number of tests: 2400 
 66 | Working...
 67 | Decomposition ready!!
 68 | -->Elapsed time: 2721.477783
 69 | -->Last sum 0
 70 | Saving rectagles -  total amount of rectangles: 1556
 71 | adaptive-boxes-gpu
 72 | GPU-accelerated rectangular decomposition for sound propagation modeling
 73 | Reading Data...
 74 | Data on Memory: Data size: m 1834 , n 3688
 75 | Number of tests: 2400 
 76 | Working...
 77 | Decomposition ready!!
 78 | -->Elapsed time: 2642.975586
 79 | -->Last sum 0
 80 | Saving rectagles -  total amount of rectangles: 1558
 81 | adaptive-boxes-gpu
 82 | GPU-accelerated rectangular decomposition for sound propagation modeling
 83 | Reading Data...
 84 | Data on Memory: Data size: m 1834 , n 3688
 85 | Number of tests: 2400 
 86 | Working...
 87 | Decomposition ready!!
 88 | -->Elapsed time: 2672.114502
 89 | -->Last sum 0
 90 | Saving rectagles -  total amount of rectangles: 1556
 91 | adaptive-boxes-gpu
 92 | GPU-accelerated rectangular decomposition for sound propagation modeling
 93 | Reading Data...
 94 | Data on Memory: Data size: m 1834 , n 3688
 95 | Number of tests: 2400 
 96 | Working...
 97 | Decomposition ready!!
 98 | -->Elapsed time: 2676.268799
 99 | -->Last sum 0
100 | Saving rectagles -  total amount of rectangles: 1556
101 | adaptive-boxes-gpu
102 | GPU-accelerated rectangular decomposition for sound propagation modeling
103 | Reading Data...
104 | Data on Memory: Data size: m 1834 , n 3688
105 | Number of tests: 2400 
106 | Working...
107 | Decomposition ready!!
108 | -->Elapsed time: 2627.991455
109 | -->Last sum 0
110 | Saving rectagles -  total amount of rectangles: 1557
111 | adaptive-boxes-gpu
112 | GPU-accelerated rectangular decomposition for sound propagation modeling
113 | Reading Data...
114 | Data on Memory: Data size: m 1834 , n 3688
115 | Number of tests: 2400 
116 | Working...
117 | Decomposition ready!!
118 | -->Elapsed time: 2641.666260
119 | -->Last sum 0
120 | Saving rectagles -  total amount of rectangles: 1558
121 | adaptive-boxes-gpu
122 | GPU-accelerated rectangular decomposition for sound propagation modeling
123 | Reading Data...
124 | Data on Memory: Data size: m 1834 , n 3688
125 | Number of tests: 2400 
126 | Working...
127 | Decomposition ready!!
128 | -->Elapsed time: 2719.936768
129 | -->Last sum 0
130 | Saving rectagles -  total amount of rectangles: 1557
131 | adaptive-boxes-gpu
132 | GPU-accelerated rectangular decomposition for sound propagation modeling
133 | Reading Data...
134 | Data on Memory: Data size: m 1834 , n 3688
135 | Number of tests: 2400 
136 | Working...
137 | Decomposition ready!!
138 | -->Elapsed time: 2671.546143
139 | -->Last sum 0
140 | Saving rectagles -  total amount of rectangles: 1558
141 | adaptive-boxes-gpu
142 | GPU-accelerated rectangular decomposition for sound propagation modeling
143 | Reading Data...
144 | Data on Memory: Data size: m 1834 , n 3688
145 | Number of tests: 2400 
146 | Working...
147 | Decomposition ready!!
148 | -->Elapsed time: 2630.146973
149 | -->Last sum 0
150 | Saving rectagles -  total amount of rectangles: 1556
151 | adaptive-boxes-gpu
152 | GPU-accelerated rectangular decomposition for sound propagation modeling
153 | Reading Data...
154 | Data on Memory: Data size: m 1834 , n 3688
155 | Number of tests: 2400 
156 | Working...
157 | Decomposition ready!!
158 | -->Elapsed time: 2750.366943
159 | -->Last sum 0
160 | Saving rectagles -  total amount of rectangles: 1558
161 | adaptive-boxes-gpu
162 | GPU-accelerated rectangular decomposition for sound propagation modeling
163 | Reading Data...
164 | Data on Memory: Data size: m 1834 , n 3688
165 | Number of tests: 2400 
166 | Working...
167 | Decomposition ready!!
168 | -->Elapsed time: 2732.001709
169 | -->Last sum 0
170 | Saving rectagles -  total amount of rectangles: 1557
171 | adaptive-boxes-gpu
172 | GPU-accelerated rectangular decomposition for sound propagation modeling
173 | Reading Data...
174 | Data on Memory: Data size: m 1834 , n 3688
175 | Number of tests: 2400 
176 | Working...
177 | Decomposition ready!!
178 | -->Elapsed time: 2613.968018
179 | -->Last sum 0
180 | Saving rectagles -  total amount of rectangles: 1556
181 | adaptive-boxes-gpu
182 | GPU-accelerated rectangular decomposition for sound propagation modeling
183 | Reading Data...
184 | Data on Memory: Data size: m 1834 , n 3688
185 | Number of tests: 2400 
186 | Working...
187 | Decomposition ready!!
188 | -->Elapsed time: 2624.062012
189 | -->Last sum 0
190 | Saving rectagles -  total amount of rectangles: 1557
191 | adaptive-boxes-gpu
192 | GPU-accelerated rectangular decomposition for sound propagation modeling
193 | Reading Data...
194 | Data on Memory: Data size: m 1834 , n 3688
195 | Number of tests: 2400 
196 | Working...
197 | Decomposition ready!!
198 | -->Elapsed time: 2596.266602
199 | -->Last sum 0
200 | Saving rectagles -  total amount of rectangles: 1556
201 | adaptive-boxes-gpu
202 | GPU-accelerated rectangular decomposition for sound propagation modeling
203 | Reading Data...
204 | Data on Memory: Data size: m 1834 , n 3688
205 | Number of tests: 2400 
206 | Working...
207 | Decomposition ready!!
208 | -->Elapsed time: 2634.088867
209 | -->Last sum 0
210 | Saving rectagles -  total amount of rectangles: 1556
211 | adaptive-boxes-gpu
212 | GPU-accelerated rectangular decomposition for sound propagation modeling
213 | Reading Data...
214 | Data on Memory: Data size: m 1834 , n 3688
215 | Number of tests: 2400 
216 | Working...
217 | Decomposition ready!!
218 | -->Elapsed time: 2586.859375
219 | -->Last sum 0
220 | Saving rectagles -  total amount of rectangles: 1556
221 | adaptive-boxes-gpu
222 | GPU-accelerated rectangular decomposition for sound propagation modeling
223 | Reading Data...
224 | Data on Memory: Data size: m 1834 , n 3688
225 | Number of tests: 2400 
226 | Working...
227 | Decomposition ready!!
228 | -->Elapsed time: 2640.908691
229 | -->Last sum 0
230 | Saving rectagles -  total amount of rectangles: 1557
231 | adaptive-boxes-gpu
232 | GPU-accelerated rectangular decomposition for sound propagation modeling
233 | Reading Data...
234 | Data on Memory: Data size: m 1834 , n 3688
235 | Number of tests: 2400 
236 | Working...
237 | Decomposition ready!!
238 | -->Elapsed time: 2548.997314
239 | -->Last sum 0
240 | Saving rectagles -  total amount of rectangles: 1557
241 | adaptive-boxes-gpu
242 | GPU-accelerated rectangular decomposition for sound propagation modeling
243 | Reading Data...
244 | Data on Memory: Data size: m 1834 , n 3688
245 | Number of tests: 2400 
246 | Working...
247 | Decomposition ready!!
248 | -->Elapsed time: 2475.400146
249 | -->Last sum 0
250 | Saving rectagles -  total amount of rectangles: 1557
251 | adaptive-boxes-gpu
252 | GPU-accelerated rectangular decomposition for sound propagation modeling
253 | Reading Data...
254 | Data on Memory: Data size: m 1834 , n 3688
255 | Number of tests: 2400 
256 | Working...
257 | Decomposition ready!!
258 | -->Elapsed time: 2449.734863
259 | -->Last sum 0
260 | Saving rectagles -  total amount of rectangles: 1556
261 | adaptive-boxes-gpu
262 | GPU-accelerated rectangular decomposition for sound propagation modeling
263 | Reading Data...
264 | Data on Memory: Data size: m 1834 , n 3688
265 | Number of tests: 2400 
266 | Working...
267 | Decomposition ready!!
268 | -->Elapsed time: 2428.099365
269 | -->Last sum 0
270 | Saving rectagles -  total amount of rectangles: 1557
271 | adaptive-boxes-gpu
272 | GPU-accelerated rectangular decomposition for sound propagation modeling
273 | Reading Data...
274 | Data on Memory: Data size: m 1834 , n 3688
275 | Number of tests: 2400 
276 | Working...
277 | Decomposition ready!!
278 | -->Elapsed time: 2482.700439
279 | -->Last sum 0
280 | Saving rectagles -  total amount of rectangles: 1556
281 | adaptive-boxes-gpu
282 | GPU-accelerated rectangular decomposition for sound propagation modeling
283 | Reading Data...
284 | Data on Memory: Data size: m 1834 , n 3688
285 | Number of tests: 2400 
286 | Working...
287 | Decomposition ready!!
288 | -->Elapsed time: 2485.149170
289 | -->Last sum 0
290 | Saving rectagles -  total amount of rectangles: 1556
291 | adaptive-boxes-gpu
292 | GPU-accelerated rectangular decomposition for sound propagation modeling
293 | Reading Data...
294 | Data on Memory: Data size: m 1834 , n 3688
295 | Number of tests: 2400 
296 | Working...
297 | Decomposition ready!!
298 | -->Elapsed time: 2498.831787
299 | -->Last sum 0
300 | Saving rectagles -  total amount of rectangles: 1558
301 | 


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/log_tools/record.sh:
--------------------------------------------------------------------------------
 1 | #!/bin/bash
 2 | echo "Start Record!"
 3 | for j in 1 10 100 600:
 4 | do
 5 | 	echo $j
 6 | 	for i in {1..30}:
 7 | 	do
 8 | 		echo $i	
 9 | 		touch ./logs/log_"$1"_$j
10 | 		../adabox ../data/"$1" ../data/out.csv $j >> ./logs/log_"$1"_$j
11 | 	done
12 | done
13 | echo "Finish Record!"
14 | 


--------------------------------------------------------------------------------
/test/Makefile:
--------------------------------------------------------------------------------
1 | all:
2 | 	nvcc test_getters.cu -o test
3 | 


--------------------------------------------------------------------------------
/test/test:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/jotachango/adaptive-boxes-gpu/cf17735948fce2d92b4e64f3a9b13a40aa461ec5/test/test


--------------------------------------------------------------------------------
/test/test_getters.cu:
--------------------------------------------------------------------------------
  1 | 
  2 | #include <cuda.h>
  3 | #include "stdlib.h"
  4 | #include <iostream>
  5 | #include <fstream>
  6 | #include <string>
  7 | // getters
  8 | #include "../include/getters.h"
  9 | // data
 10 | #include "./hall10.h"
 11 | 
 12 | 
 13 | bool verify_results(int *expected, int *actual, bool print);
 14 | 
 15 | int main(int argc, char *argv[]){
 16 | 	printf("adaptive-boxes-gpu\n");
 17 | 	printf("Test getters\n");
 18 | 
 19 | 	printf("----> Data size: m %ld , n% ld\n",m, n);
 20 | 
 21 | 
 22 | 	int out_expected[4] = {};
 23 | 	int out[4] = {};
 24 | 
 25 | 	int point_to_test_i;
 26 | 	int point_to_test_j;
 27 | 
 28 | 	// Test
 29 | 	for (int idx_j=0; idx_j<n; idx_j++){
 30 | 		
 31 | 		for (int idx_i=0; idx_i<m; idx_i++){
 32 | 		
 33 | 			point_to_test_i = 0 + idx_i;
 34 | 			point_to_test_j = 0 + idx_j;
 35 | 			
 36 | 			if (data[point_to_test_i*n + point_to_test_j] == 1){
 37 | 				printf("Testing in i %d j %d ---------------\n",
 38 | 						point_to_test_i
 39 | 						,point_to_test_j);
 40 | 
 41 | 
 42 | 				bool is_ok;
 43 | 				
 44 | 				printf("Test RB\n");
 45 | 				// old getters
 46 | 				og::get_right_bottom_rectangle(
 47 | 						point_to_test_i,
 48 | 						point_to_test_j,
 49 | 						m,
 50 | 						n,
 51 | 						data,
 52 | 						out_expected
 53 | 						);
 54 | 
 55 | 				// new getters
 56 | 				ng::get_right_bottom_rectangle(
 57 | 						point_to_test_i,
 58 | 						point_to_test_j,
 59 | 						m,
 60 | 						n,
 61 | 						data,
 62 | 						out
 63 | 						);
 64 | 				
 65 | 				is_ok = verify_results(out_expected, out, true);
 66 | 				printf("\n");
 67 | 
 68 | 				
 69 | 				printf("Test LB\n");
 70 | 				// old getters
 71 | 				og::get_left_bottom_rectangle(
 72 | 						point_to_test_i,
 73 | 						point_to_test_j,
 74 | 						m,
 75 | 						n,
 76 | 						data,
 77 | 						out_expected
 78 | 						);
 79 | 
 80 | 				// new getters
 81 | 				ng::get_left_bottom_rectangle(
 82 | 						point_to_test_i,
 83 | 						point_to_test_j,
 84 | 						m,
 85 | 						n,
 86 | 						data,
 87 | 						out
 88 | 						);
 89 | 				
 90 | 				is_ok = verify_results(out_expected, out, true);
 91 | 				printf("\n");
 92 | 
 93 | 
 94 | 				printf("Test LT\n");
 95 | 				// old getters
 96 | 				og::get_left_top_rectangle(
 97 | 						point_to_test_i,
 98 | 						point_to_test_j,
 99 | 						n,
100 | 						data,
101 | 						out_expected
102 | 						);
103 | 
104 | 				// new getters
105 | 				ng::get_left_top_rectangle(
106 | 						point_to_test_i,
107 | 						point_to_test_j,
108 | 						n,
109 | 						data,
110 | 						out
111 | 						);
112 | 				
113 | 				is_ok = verify_results(out_expected, out, true);
114 | 				printf("\n");
115 | 
116 | 				
117 | 				printf("Test RT\n");
118 | 				// old getters
119 | 				og::get_right_top_rectangle(
120 | 						point_to_test_i,
121 | 						point_to_test_j,
122 | 						n,
123 | 						data,
124 | 						out_expected
125 | 						);
126 | 
127 | 				// new getters
128 | 				ng::get_right_top_rectangle(
129 | 						point_to_test_i,
130 | 						point_to_test_j,
131 | 						n,
132 | 						data,
133 | 						out
134 | 						);
135 | 				
136 | 				is_ok = verify_results(out_expected, out, true);
137 | 				printf("\n");
138 | 			}
139 | 		}
140 | 	}
141 | 
142 | 	return 0;
143 | }
144 | 
145 | 
146 | bool verify_results(int *expected, int *actual, bool print){
147 | 
148 | 
149 | 
150 | 	bool test_passed = false;
151 | 	if ( (expected[0] != actual[0]) ||
152 | 		        (expected[1] != actual[1]) ||
153 |  			(expected[2] != actual[2]) ||
154 |  			(expected[3] != actual[3]) ){
155 | 		if (print)
156 | 		printf("Test Failed\n");
157 | 
158 | 		if (print)
159 | 		printf("EXPECTED: x1 %d    x2 %d   y1 %d   y2 %d   \n",
160 | 				expected[0],
161 | 				expected[1], 
162 | 				expected[2], 
163 | 				expected[3]);
164 | 
165 | 
166 | 		if (print)
167 | 		printf("ACTUAL: x1 %d    x2 %d   y1 %d   y2 %d   \n", 
168 | 				actual[0],  
169 | 				actual[1],  
170 | 				actual[2],  
171 | 				actual[3]);
172 | 
173 | 	}else{
174 | 		if (print)
175 | 		printf("Test Passed\n");
176 | 		test_passed = true;
177 | 	}
178 | 
179 | 	return test_passed;
180 | }
181 | 
182 | 
183 | 
184 | 
185 | 


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