├── .gitignore ├── benchmarks ├── requirements.txt ├── nvitop_error.png ├── process_usage_comparison.png ├── package_sizes.csv ├── process_usage_summary.md ├── profile_benchmark.py ├── visualise_benchmarks.py ├── process_usage_1726165993.csv └── process_usage_1726162330.csv ├── src ├── gpu │ ├── mod.rs │ ├── process.rs │ └── info.rs ├── ui │ ├── mod.rs │ ├── widgets.rs │ └── render.rs ├── utils │ ├── mod.rs │ ├── formatting.rs │ └── system.rs ├── app_state.rs ├── influxdb.rs └── main.rs ├── assets ├── bar_mode.png ├── default_mode.png ├── tabbed_mode.png └── influxdb_dashboard.png ├── Cargo.toml ├── .github └── workflows │ └── build.yml ├── config └── gpu_dashboard_template.json ├── scripts └── setup_influxdb.sh ├── README.md └── LICENSE /.gitignore: -------------------------------------------------------------------------------- 1 | /target 2 | *.log 3 | -------------------------------------------------------------------------------- /benchmarks/requirements.txt: -------------------------------------------------------------------------------- 1 | gpustat 2 | nvitop -------------------------------------------------------------------------------- /src/gpu/mod.rs: -------------------------------------------------------------------------------- 1 | pub mod info; 2 | pub mod process; 3 | -------------------------------------------------------------------------------- /src/ui/mod.rs: -------------------------------------------------------------------------------- 1 | pub mod render; 2 | pub mod widgets; 3 | -------------------------------------------------------------------------------- /src/utils/mod.rs: -------------------------------------------------------------------------------- 1 | pub mod formatting; 2 | pub mod system; 3 | -------------------------------------------------------------------------------- /assets/bar_mode.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/msminhas93/nviwatch/HEAD/assets/bar_mode.png -------------------------------------------------------------------------------- /assets/default_mode.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/msminhas93/nviwatch/HEAD/assets/default_mode.png -------------------------------------------------------------------------------- /assets/tabbed_mode.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/msminhas93/nviwatch/HEAD/assets/tabbed_mode.png -------------------------------------------------------------------------------- /assets/influxdb_dashboard.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/msminhas93/nviwatch/HEAD/assets/influxdb_dashboard.png -------------------------------------------------------------------------------- /benchmarks/nvitop_error.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/msminhas93/nviwatch/HEAD/benchmarks/nvitop_error.png -------------------------------------------------------------------------------- /benchmarks/process_usage_comparison.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/msminhas93/nviwatch/HEAD/benchmarks/process_usage_comparison.png -------------------------------------------------------------------------------- /benchmarks/package_sizes.csv: -------------------------------------------------------------------------------- 1 | Package,Total size [MB],Total size [bytes],Visualisation 2 | nvitop,4.1 MB,4351311, 3 | gpustat,3.7 MB,3899863, 4 | -------------------------------------------------------------------------------- /src/gpu/process.rs: -------------------------------------------------------------------------------- 1 | #[derive(Clone)] 2 | pub struct GpuProcessInfo { 3 | pub pid: u32, 4 | pub used_gpu_memory: u64, 5 | pub username: String, 6 | pub command: String, 7 | pub cpu_usage: f32, 8 | pub memory_usage: u64, 9 | } 10 | -------------------------------------------------------------------------------- /Cargo.toml: -------------------------------------------------------------------------------- 1 | [package] 2 | name = "nviwatch" 3 | version = "0.2.1" 4 | edition = "2021" 5 | description = "A blazingly fast Rust-based TUI for managing and monitoring NVIDIA GPU processes" 6 | license = "GPL-3.0" 7 | authors = ["Manpreet Singh Minhas "] 8 | repository = "https://github.com/msminhas93/nviwatch" 9 | homepage = "https://github.com/msminhas93/nviwatch" 10 | documentation = "https://github.com/msminhas93/nviwatch#readme" 11 | readme = "README.md" 12 | keywords = ["nvidia", "gpu", "monitoring", "tui", "system-monitor"] 13 | categories = ["command-line-utilities", "visualization", "hardware-support"] 14 | 15 | 16 | 17 | [dependencies] 18 | clap = "4.5.45" 19 | crossterm = "0.29.0" 20 | nix = { version = "0.30.1", features = ["process", "signal", "user"] } 21 | nvml-wrapper = "0.11.0" 22 | prettytable-rs = "0.10.0" 23 | procfs = "0.17.0" 24 | ratatui = "0.29.0" 25 | textwrap = "0.16.2" 26 | influxdb = { version = "0.7.2", features = ["derive"] } 27 | tokio = { version = "1.47.1", features = ["full"] } 28 | -------------------------------------------------------------------------------- /benchmarks/process_usage_summary.md: -------------------------------------------------------------------------------- 1 | | Process Name | ('CPU Usage (%)', 'mean') | ('CPU Usage (%)', 'max') | ('Memory Usage (%)', 'mean') | ('Memory Usage (%)', 'max') | ('Memory Usage (MB)', 'mean') | ('Memory Usage (MB)', 'max') | 2 | |:---------------|----------------------------:|---------------------------:|-------------------------------:|------------------------------:|--------------------------------:|-------------------------------:| 3 | | nvtop | 0.25 | 20 | 0.12897 | 0.12897 | 20.457 | 20.457 | 4 | | nviwatch | 0.283333 | 10 | 0.115105 | 0.115105 | 18.2578 | 18.2578 | 5 | | nvitop | 0.882667 | 10 | 0.25895 | 0.25895 | 41.0742 | 41.0742 | 6 | | gpustat | 3.4655 | 49.9 | 0.213218 | 0.213218 | 33.8203 | 33.8203 | -------------------------------------------------------------------------------- /.github/workflows/build.yml: -------------------------------------------------------------------------------- 1 | name: Build and Release 2 | 3 | on: 4 | workflow_dispatch: 5 | inputs: 6 | release_tag: 7 | description: 'Release tag (e.g., v1.0.0)' 8 | required: true 9 | 10 | permissions: 11 | contents: write 12 | 13 | jobs: 14 | build-and-release: 15 | runs-on: ubuntu-latest 16 | container: 17 | image: nvidia/cuda:11.8.0-devel-ubuntu22.04 18 | steps: 19 | - uses: actions/checkout@v3 20 | 21 | - name: Install dependencies 22 | run: | 23 | apt-get update 24 | apt-get install -y curl build-essential 25 | 26 | - name: Install Rust 27 | uses: actions-rs/toolchain@v1 28 | with: 29 | toolchain: stable 30 | override: true 31 | 32 | - name: Build Release 33 | run: cargo build --release 34 | 35 | - name: Create Release 36 | id: create_release 37 | uses: actions/create-release@v1 38 | env: 39 | GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} 40 | with: 41 | tag_name: ${{ github.event.inputs.release_tag }} 42 | release_name: Release ${{ github.event.inputs.release_tag }} 43 | draft: false 44 | prerelease: false 45 | 46 | - name: Upload Release Asset 47 | uses: actions/upload-release-asset@v1 48 | env: 49 | GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} 50 | with: 51 | upload_url: ${{ steps.create_release.outputs.upload_url }} 52 | asset_path: ./target/release/nviwatch 53 | asset_name: nviwatch 54 | asset_content_type: application/octet-stream -------------------------------------------------------------------------------- /src/utils/formatting.rs: -------------------------------------------------------------------------------- 1 | pub fn format_memory_size(bytes: u64) -> String { 2 | const GB: u64 = 1024 * 1024 * 1024; 3 | const MB: u64 = 1024 * 1024; 4 | 5 | if bytes >= 10 * GB { 6 | format!("{:.2}GB", bytes as f64 / GB as f64) 7 | } else { 8 | format!("{}MB", bytes / MB) 9 | } 10 | } 11 | 12 | #[cfg(test)] 13 | mod tests { 14 | use super::*; 15 | 16 | #[test] 17 | fn test_format_memory_size_small() { 18 | // Test small memory sizes (less than 10GB) 19 | assert_eq!(format_memory_size(1024 * 1024), "1MB"); // 1MB 20 | assert_eq!(format_memory_size(2 * 1024 * 1024), "2MB"); // 2MB 21 | assert_eq!(format_memory_size(512 * 1024 * 1024), "512MB"); // 512MB 22 | assert_eq!(format_memory_size(8 * 1024 * 1024 * 1024), "8192MB"); // 8GB 23 | } 24 | 25 | #[test] 26 | fn test_format_memory_size_large() { 27 | // Test large memory sizes (10GB and above) 28 | assert_eq!(format_memory_size(10 * 1024 * 1024 * 1024), "10.00GB"); // 10GB 29 | assert_eq!(format_memory_size(12 * 1024 * 1024 * 1024), "12.00GB"); // 12GB 30 | assert_eq!(format_memory_size(16 * 1024 * 1024 * 1024), "16.00GB"); // 16GB 31 | assert_eq!(format_memory_size(24 * 1024 * 1024 * 1024), "24.00GB"); // 24GB 32 | } 33 | 34 | #[test] 35 | fn test_format_memory_size_edge_cases() { 36 | // Test edge cases 37 | assert_eq!(format_memory_size(0), "0MB"); // 0 bytes 38 | assert_eq!(format_memory_size(1024 * 1024 - 1), "0MB"); // Just under 1MB 39 | assert_eq!(format_memory_size(1024 * 1024), "1MB"); // Exactly 1MB 40 | assert_eq!(format_memory_size(10 * 1024 * 1024 * 1024 - 1), "10239MB"); // Just under 10GB 41 | assert_eq!(format_memory_size(10 * 1024 * 1024 * 1024), "10.00GB"); // Exactly 10GB 42 | } 43 | 44 | #[test] 45 | fn test_format_memory_size_decimal_precision() { 46 | // Test decimal precision for GB values 47 | let bytes_10_5_gb = (10.5 * 1024.0 * 1024.0 * 1024.0) as u64; 48 | assert_eq!(format_memory_size(bytes_10_5_gb), "10.50GB"); 49 | 50 | let bytes_11_25_gb = (11.25 * 1024.0 * 1024.0 * 1024.0) as u64; 51 | assert_eq!(format_memory_size(bytes_11_25_gb), "11.25GB"); 52 | } 53 | } 54 | -------------------------------------------------------------------------------- /benchmarks/profile_benchmark.py: -------------------------------------------------------------------------------- 1 | import psutil 2 | import time 3 | import csv 4 | from tqdm import tqdm 5 | 6 | def get_process_usage(process_names): 7 | usage_data = {} 8 | for proc in psutil.process_iter(['name', 'cpu_percent', 'memory_percent', 'memory_info']): 9 | if proc.info['name'] in process_names: 10 | try: 11 | proc.cpu_percent(interval=0.1) # Initialize CPU measurement 12 | time.sleep(0.1) # Wait a bit for more accurate measurement 13 | cpu_percent = proc.cpu_percent(interval=0) 14 | mem_percent = proc.memory_percent() 15 | mem_absolute = proc.memory_info().rss # Resident Set Size in bytes 16 | usage_data[proc.info['name']] = { 17 | 'cpu': cpu_percent, 18 | 'memory_percent': mem_percent, 19 | 'memory_absolute': mem_absolute 20 | } 21 | except (psutil.NoSuchProcess, psutil.AccessDenied, psutil.ZombieProcess): 22 | pass 23 | return usage_data 24 | 25 | def monitor_processes(process_names): 26 | samples = 600 27 | interval = 0.02 # Calculate interval between samples 28 | 29 | print(f"Monitoring processes: {', '.join(process_names)}") 30 | print(f"Taking {samples} samples at intervals of {interval:.2f} seconds") 31 | 32 | data_records = [] 33 | try: 34 | for _ in tqdm(range(samples)): 35 | usage = get_process_usage(process_names) 36 | timestamp = time.strftime('%Y-%m-%d %H:%M:%S') 37 | for name, data in usage.items(): 38 | data_records.append([ 39 | timestamp, 40 | name, 41 | data['cpu'], 42 | data['memory_percent'], 43 | data['memory_absolute'] 44 | ]) 45 | time.sleep(interval) 46 | except KeyboardInterrupt: 47 | print("\nMonitoring stopped early.") 48 | 49 | 50 | # Write data to CSV 51 | csv_filename = f'process_usage_{int(time.time())}.csv' 52 | with open(csv_filename, mode='w', newline='') as file: 53 | writer = csv.writer(file) 54 | writer.writerow([ 55 | 'Timestamp', 56 | 'Process Name', 57 | 'CPU Usage (%)', 58 | 'Memory Usage (%)', 59 | 'Memory Usage (bytes)' 60 | ]) 61 | writer.writerows(data_records) 62 | print(f"Data written to {csv_filename} with {len(data_records)} records.") 63 | 64 | 65 | if __name__ == "__main__": 66 | processes_to_monitor = ['nviwatch', 'nvtop', 'nvitop', 'gpustat'] 67 | monitor_processes(processes_to_monitor) -------------------------------------------------------------------------------- /benchmarks/visualise_benchmarks.py: -------------------------------------------------------------------------------- 1 | import pandas as pd 2 | import matplotlib.pyplot as plt 3 | import seaborn as sns 4 | import glob 5 | 6 | # Find all process usage CSV files 7 | csv_files = glob.glob('process_usage_*.csv') 8 | 9 | # Read and combine all CSV files 10 | dfs = [] 11 | for file in csv_files: 12 | df = pd.read_csv(file) 13 | dfs.append(df) 14 | 15 | if not dfs: 16 | print("No CSV files found or no data to combine.") 17 | else: 18 | combined_df = pd.concat(dfs, ignore_index=True) 19 | 20 | # Convert timestamp to datetime 21 | combined_df['Timestamp'] = pd.to_datetime(combined_df['Timestamp']) 22 | 23 | # Handle duplicate timestamps by adding a small time delta 24 | combined_df['Timestamp'] = pd.to_datetime(combined_df['Timestamp']) + pd.to_timedelta(combined_df.groupby('Timestamp').cumcount(), unit='ms') 25 | 26 | # Create a Samples for plotting 27 | combined_df = combined_df.sort_values('Timestamp').reset_index(drop=True) 28 | combined_df['Samples'] = combined_df.index 29 | 30 | # Convert memory usage from bytes to MB 31 | combined_df['Memory Usage (MB)'] = combined_df['Memory Usage (bytes)'] / (1024 * 1024) 32 | 33 | # Create subplots 34 | fig, axs = plt.subplots(3, 1, figsize=(12, 15)) 35 | fig.suptitle('Comparison of nviwatch, nvtop, nvitop, and gpustat usage', fontsize=16) 36 | 37 | # CPU Usage plot using Samples 38 | sns.lineplot(data=combined_df, x='Samples', y='CPU Usage (%)', 39 | hue='Process Name', ax=axs[0]) 40 | axs[0].set_title('CPU Usage (%)') 41 | axs[0].set_xlabel('') 42 | 43 | # Memory Usage (%) plot 44 | sns.lineplot(data=combined_df, x='Samples', y='Memory Usage (%)', 45 | hue='Process Name', ax=axs[1]) 46 | axs[1].set_title('Memory Usage (%)') 47 | axs[1].set_xlabel('') 48 | 49 | # Memory Usage (MB) plot 50 | sns.lineplot(data=combined_df, x='Samples', y='Memory Usage (MB)', 51 | hue='Process Name', ax=axs[2]) 52 | axs[2].set_title('Memory Usage (MB)') 53 | 54 | # Adjust layout and save figure 55 | plt.tight_layout() 56 | plt.savefig('process_usage_comparison.png', dpi=300, bbox_inches='tight') 57 | 58 | # Calculate summary statistics 59 | summary_stats = combined_df.groupby('Process Name').agg({ 60 | 'CPU Usage (%)': ['mean', 'max'], 61 | 'Memory Usage (%)': ['mean', 'max'], 62 | 'Memory Usage (MB)': ['mean', 'max'] 63 | }) 64 | 65 | # Format the summary statistics 66 | summary_stats = summary_stats.sort_values(by=('CPU Usage (%)', 'mean'), ascending=True).round(6) # Round to 6 decimal places for better alignment 67 | 68 | # Generate markdown table 69 | markdown_table = summary_stats.to_markdown() 70 | 71 | # Save markdown table to file 72 | with open('process_usage_summary.md', 'w') as f: 73 | f.write(markdown_table) 74 | 75 | # Print summary statistics 76 | print(summary_stats) -------------------------------------------------------------------------------- /src/utils/system.rs: -------------------------------------------------------------------------------- 1 | use crate::gpu::process::GpuProcessInfo; 2 | use crate::AppState; 3 | use nix::sys::signal::{kill, Signal}; 4 | use nix::unistd::Pid; 5 | use nix::unistd::{sysconf, SysconfVar}; 6 | use nix::unistd::{Uid, User}; 7 | use procfs::process::Process; 8 | use std::fs; 9 | use std::io::{Error as IoError, ErrorKind}; 10 | 11 | pub fn get_process_info(pid: u32, used_gpu_memory: u64) -> Option { 12 | if let Ok(process) = Process::new(pid as i32) { 13 | if let Ok(uid) = process.uid() { 14 | if let Ok(Some(user)) = User::from_uid(Uid::from_raw(uid)) { 15 | let command = process.cmdline().unwrap_or_default().join(" "); 16 | let cpu_usage = process 17 | .stat() 18 | .ok() 19 | .map(|stat| { 20 | let total_time = stat.utime + stat.stime; 21 | let clock_ticks = get_clock_ticks_per_second(); 22 | let uptime = get_system_uptime(); 23 | (total_time as f64 / clock_ticks as f64 / uptime * 100.0) as f32 24 | }) 25 | .unwrap_or(0.0); 26 | let memory_usage = process.stat().ok().map(|stat| stat.rss * 4096).unwrap_or(0); 27 | 28 | return Some(GpuProcessInfo { 29 | pid, 30 | used_gpu_memory, 31 | username: user.name, 32 | command, 33 | cpu_usage, 34 | memory_usage, 35 | }); 36 | } 37 | } 38 | } 39 | None 40 | } 41 | pub fn kill_selected_process(app_state: &AppState) -> Result<(), Box> { 42 | let mut all_processes = Vec::new(); 43 | for gpu_info in &app_state.gpu_infos { 44 | all_processes.extend(gpu_info.processes.iter()); 45 | } 46 | 47 | // Sort processes by GPU memory usage (descending) to match the UI 48 | all_processes.sort_by(|a, b| b.used_gpu_memory.cmp(&a.used_gpu_memory)); 49 | 50 | if app_state.selected_process < all_processes.len() { 51 | let selected_process = &all_processes[app_state.selected_process]; 52 | let pid = selected_process.pid; 53 | match kill(Pid::from_raw(pid as i32), Signal::SIGTERM) { 54 | Ok(_) => Ok(()), 55 | Err(nix::Error::EPERM) => Err(Box::new(IoError::new( 56 | ErrorKind::PermissionDenied, 57 | format!( 58 | "Permission denied to terminate process {} ({})", 59 | pid, selected_process.command 60 | ), 61 | ))), 62 | Err(e) => Err(Box::new(IoError::new( 63 | ErrorKind::Other, 64 | format!( 65 | "Failed to terminate process {} ({}): {}", 66 | pid, selected_process.command, e 67 | ), 68 | ))), 69 | } 70 | } else { 71 | Err(Box::new(IoError::new( 72 | ErrorKind::NotFound, 73 | "Selected process not found", 74 | ))) 75 | } 76 | } 77 | 78 | pub fn get_clock_ticks_per_second() -> u64 { 79 | sysconf(SysconfVar::CLK_TCK) 80 | .unwrap() 81 | .map(|ticks| ticks as u64) 82 | .unwrap_or(100) 83 | } 84 | 85 | pub fn get_system_uptime() -> f64 { 86 | fs::read_to_string("/proc/uptime") 87 | .ok() 88 | .and_then(|content| content.split_whitespace().next().map(String::from)) 89 | .and_then(|uptime_str| uptime_str.parse().ok()) 90 | .unwrap_or(0.0) 91 | } 92 | -------------------------------------------------------------------------------- /src/gpu/info.rs: -------------------------------------------------------------------------------- 1 | use crate::gpu::process::GpuProcessInfo; 2 | use crate::utils::system::get_process_info; 3 | use crate::AppState; 4 | use nvml_wrapper::enum_wrappers::device::TemperatureSensor; 5 | use nvml_wrapper::Nvml; 6 | use std::error::Error; 7 | 8 | pub struct GpuInfo { 9 | pub index: usize, 10 | pub name: String, 11 | pub temperature: u32, 12 | pub utilization: u32, 13 | pub memory_used: u64, 14 | pub memory_total: u64, 15 | pub power_usage: u32, 16 | pub power_limit: u32, 17 | pub clock_freq: u32, 18 | pub processes: Vec, 19 | } 20 | pub fn collect_gpu_info( 21 | nvml: &Nvml, 22 | app_state: &mut AppState, 23 | ) -> Result, Box> { 24 | let device_count = nvml.device_count()?; 25 | let mut gpu_infos = Vec::new(); 26 | 27 | for index in 0..device_count as usize { 28 | let device = nvml.device_by_index(index as u32)?; 29 | let name = device.name()?; 30 | let temperature = device.temperature(TemperatureSensor::Gpu)?; 31 | let utilization = device.utilization_rates()?.gpu; 32 | let memory = device.memory_info()?; 33 | 34 | let power_usage = device.power_usage()? / 1000; // Convert mW to W 35 | let power_limit = device.enforced_power_limit()? / 1000; // Convert mW to W 36 | let clock_freq = device.clock_info(nvml::enum_wrappers::device::Clock::Graphics)?; 37 | 38 | let compute_processes: Vec = device 39 | .running_compute_processes()? 40 | .into_iter() 41 | .filter_map(|p| { 42 | let used_gpu_memory = match p.used_gpu_memory { 43 | nvml::enums::device::UsedGpuMemory::Used(bytes) => bytes, 44 | nvml::enums::device::UsedGpuMemory::Unavailable => 0, 45 | }; 46 | get_process_info(p.pid, used_gpu_memory) 47 | }) 48 | .collect(); 49 | 50 | let graphics_processes: Vec = device 51 | .running_graphics_processes()? 52 | .into_iter() 53 | .filter_map(|p| { 54 | let used_gpu_memory = match p.used_gpu_memory { 55 | nvml::enums::device::UsedGpuMemory::Used(bytes) => bytes, 56 | nvml::enums::device::UsedGpuMemory::Unavailable => 0, 57 | }; 58 | get_process_info(p.pid, used_gpu_memory) 59 | }) 60 | .collect(); 61 | // Update historical data 62 | if app_state.power_history.len() <= index { 63 | app_state.power_history.push(Vec::new()); 64 | app_state.utilization_history.push(Vec::new()); 65 | } 66 | 67 | // Calculate how many seconds have passed since the last update 68 | let seconds_passed = if !app_state.power_history[index].is_empty() { 69 | (app_state.power_history[index].len() as u64).saturating_sub(60) 70 | } else { 71 | 0 72 | }; 73 | 74 | // Fill in missing data points with the last known value or 0 75 | for _ in 0..seconds_passed { 76 | let last_power = app_state.power_history[index].last().copied().unwrap_or(0); 77 | let last_util = app_state.utilization_history[index] 78 | .last() 79 | .copied() 80 | .unwrap_or(0); 81 | app_state.power_history[index].push(last_power); 82 | app_state.utilization_history[index].push(last_util); 83 | } 84 | 85 | // Add the current data point 86 | app_state.power_history[index].push(power_usage as u64); 87 | app_state.utilization_history[index].push(utilization as u64); 88 | 89 | // Keep only the last 60 data points (for a 1-minute graph) 90 | while app_state.power_history[index].len() > 60 { 91 | app_state.power_history[index].remove(0); 92 | app_state.utilization_history[index].remove(0); 93 | } 94 | 95 | gpu_infos.push(GpuInfo { 96 | index, 97 | name, 98 | temperature, 99 | utilization, 100 | memory_used: memory.used, 101 | memory_total: memory.total, 102 | power_usage, 103 | power_limit, 104 | clock_freq, 105 | processes: [compute_processes, graphics_processes].concat(), 106 | }); 107 | } 108 | 109 | Ok(gpu_infos) 110 | } 111 | -------------------------------------------------------------------------------- /config/gpu_dashboard_template.json: -------------------------------------------------------------------------------- 1 | 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Four","type":"scale","hex":"#31C0F6"},{"id":"anrO9bV5sOlnTH1T1GkZY","name":"Nineteen Eighty Four","type":"scale","hex":"#A500A5"},{"id":"WWZzuDdDHQOmKyXyxGEHZ","name":"Nineteen Eighty Four","type":"scale","hex":"#FF7E27"}],"geom":"line","height":4,"hoverDimension":"auto","kind":"Xy","legendColorizeRows":true,"legendOpacity":1,"legendOrientationThreshold":100000000,"name":"Temperature","opacity":1,"orientationThreshold":100000000,"position":"overlaid","queries":[{"query":"from(bucket: \"gpu-metrics\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"gpu_metrics\")\n |> filter(fn: (r) => r[\"_field\"] == \"temperature\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"}],"staticLegend":{"colorizeRows":true,"opacity":1,"orientationThreshold":100000000,"widthRatio":1},"width":4,"widthRatio":1,"xCol":"_time","xPos":4,"yCol":"_value"},{"axes":[{"base":"10","name":"x","scale":"linear"},{"base":"10","label":"Power Usage (Watts)","name":"y","scale":"linear"}],"colorizeRows":true,"colors":[{"id":"8kvw5GjgvMmDxW8baeq7M","name":"Nineteen Eighty Four","type":"scale","hex":"#31C0F6"},{"id":"anrO9bV5sOlnTH1T1GkZY","name":"Nineteen Eighty Four","type":"scale","hex":"#A500A5"},{"id":"WWZzuDdDHQOmKyXyxGEHZ","name":"Nineteen Eighty Four","type":"scale","hex":"#FF7E27"}],"geom":"line","height":4,"hoverDimension":"auto","kind":"Xy","legendColorizeRows":true,"legendOpacity":1,"legendOrientationThreshold":100000000,"name":"Power Usage","opacity":1,"orientationThreshold":100000000,"position":"overlaid","queries":[{"query":"from(bucket: \"gpu-metrics\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"gpu_metrics\")\n |> filter(fn: (r) => r[\"_field\"] == \"power_usage\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"}],"staticLegend":{"colorizeRows":true,"opacity":1,"orientationThreshold":100000000,"widthRatio":1},"width":4,"widthRatio":1,"xCol":"_time","xPos":8,"yCol":"_value"}],"description":"Visualize your GPU data","name":"GPU metrics"}}] -------------------------------------------------------------------------------- /src/app_state.rs: -------------------------------------------------------------------------------- 1 | use crate::gpu::info::GpuInfo; 2 | 3 | pub struct AppState { 4 | pub selected_process: usize, 5 | pub selected_gpu_tab: usize, 6 | pub gpu_infos: Vec, 7 | pub error_message: Option, 8 | pub power_history: Vec>, 9 | pub utilization_history: Vec>, 10 | pub use_tabbed_graphs: bool, 11 | pub use_bar_charts: bool, 12 | } 13 | 14 | 15 | 16 | #[cfg(test)] 17 | mod tests { 18 | use super::*; 19 | use crate::gpu::info::GpuInfo; 20 | 21 | fn create_test_gpu_info(index: u32) -> GpuInfo { 22 | GpuInfo { 23 | index: index as usize, 24 | name: format!("Test GPU {}", index), 25 | temperature: 75, 26 | utilization: 50, 27 | memory_used: 4 * 1024 * 1024 * 1024, // 4GB 28 | memory_total: 8 * 1024 * 1024 * 1024, // 8GB 29 | power_usage: 150, 30 | power_limit: 200, 31 | clock_freq: 1800, 32 | processes: vec![], // Empty processes for testing 33 | } 34 | } 35 | 36 | #[test] 37 | fn test_app_state_initialization() { 38 | let state = AppState { 39 | selected_process: 0, 40 | selected_gpu_tab: 0, 41 | gpu_infos: vec![], 42 | error_message: None, 43 | power_history: vec![], 44 | utilization_history: vec![], 45 | use_tabbed_graphs: true, 46 | use_bar_charts: false, 47 | }; 48 | 49 | assert_eq!(state.selected_process, 0); 50 | assert_eq!(state.selected_gpu_tab, 0); 51 | assert!(state.gpu_infos.is_empty()); 52 | assert!(state.error_message.is_none()); 53 | assert!(state.power_history.is_empty()); 54 | assert!(state.utilization_history.is_empty()); 55 | assert!(state.use_tabbed_graphs); 56 | assert!(!state.use_bar_charts); 57 | } 58 | 59 | #[test] 60 | fn test_total_processes_empty() { 61 | let state = AppState { 62 | selected_process: 0, 63 | selected_gpu_tab: 0, 64 | gpu_infos: vec![], 65 | error_message: None, 66 | power_history: vec![], 67 | utilization_history: vec![], 68 | use_tabbed_graphs: false, 69 | use_bar_charts: false, 70 | }; 71 | 72 | let total_processes: usize = state.gpu_infos.iter().map(|gpu| gpu.processes.len()).sum(); 73 | assert_eq!(total_processes, 0); 74 | } 75 | 76 | #[test] 77 | fn test_total_processes_with_gpus() { 78 | let state = AppState { 79 | selected_process: 0, 80 | selected_gpu_tab: 0, 81 | gpu_infos: vec![ 82 | create_test_gpu_info(0), 83 | create_test_gpu_info(1), 84 | ], 85 | error_message: None, 86 | power_history: vec![], 87 | utilization_history: vec![], 88 | use_tabbed_graphs: false, 89 | use_bar_charts: false, 90 | }; 91 | 92 | let total_processes: usize = state.gpu_infos.iter().map(|gpu| gpu.processes.len()).sum(); 93 | assert_eq!(total_processes, 0); // No processes in test GPUs 94 | } 95 | 96 | #[test] 97 | fn test_can_select_process() { 98 | let state = AppState { 99 | selected_process: 0, 100 | selected_gpu_tab: 0, 101 | gpu_infos: vec![], 102 | error_message: None, 103 | power_history: vec![], 104 | utilization_history: vec![], 105 | use_tabbed_graphs: false, 106 | use_bar_charts: false, 107 | }; 108 | // Should not be able to select any process when there are no GPUs 109 | let total_processes: usize = state.gpu_infos.iter().map(|gpu| gpu.processes.len()).sum(); 110 | assert!(!(0 < total_processes)); 111 | assert!(!(1 < total_processes)); 112 | } 113 | 114 | #[test] 115 | fn test_can_select_gpu_tab() { 116 | let state = AppState { 117 | selected_process: 0, 118 | selected_gpu_tab: 0, 119 | gpu_infos: vec![create_test_gpu_info(0)], 120 | error_message: None, 121 | power_history: vec![], 122 | utilization_history: vec![], 123 | use_tabbed_graphs: false, 124 | use_bar_charts: false, 125 | }; 126 | 127 | // Should be able to select GPU 0, but not GPU 1 128 | assert!(0 < state.gpu_infos.len()); 129 | assert!(1 >= state.gpu_infos.len()); 130 | } 131 | 132 | #[test] 133 | fn test_error_message_handling() { 134 | let mut state = AppState { 135 | selected_process: 0, 136 | selected_gpu_tab: 0, 137 | gpu_infos: vec![], 138 | error_message: None, 139 | power_history: vec![], 140 | utilization_history: vec![], 141 | use_tabbed_graphs: false, 142 | use_bar_charts: false, 143 | }; 144 | 145 | // Initially no error 146 | assert!(state.error_message.is_none()); 147 | 148 | // Set an error 149 | state.error_message = Some("Test error message".to_string()); 150 | assert!(state.error_message.is_some()); 151 | assert_eq!(state.error_message.as_ref().unwrap(), "Test error message"); 152 | 153 | // Clear the error 154 | state.error_message = None; 155 | assert!(state.error_message.is_none()); 156 | } 157 | } 158 | -------------------------------------------------------------------------------- /scripts/setup_influxdb.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | # This script automates the installation and setup of InfluxDB and a dashboard. 3 | 4 | # --- Configuration --- 5 | # IMPORTANT: Change these values to your desired settings. 6 | INFLUX_USERNAME="admin" 7 | INFLUX_PASSWORD="password12345" 8 | INFLUX_ORG="my-org" 9 | INFLUX_BUCKET="gpu-metrics" 10 | INFLUX_RETENTION="7d" # Data retention period 11 | DASHBOARD_TEMPLATE_FILE="../config/gpu_dashboard_template.json" 12 | 13 | # Exit immediately if a command exits with a non-zero status. 14 | set -e 15 | 16 | echo "--- Checking InfluxDB Status ---" 17 | 18 | # Check if InfluxDB is already installed and configured 19 | if command -v influx >/dev/null 2>&1; then 20 | echo "InfluxDB CLI is installed." 21 | 22 | # Check if InfluxDB service is running 23 | if systemctl is-active --quiet influxdb 2>/dev/null || service influxdb status >/dev/null 2>&1; then 24 | echo "InfluxDB service is running." 25 | 26 | # Check if we can connect and if the organization exists 27 | if influx ping >/dev/null 2>&1 && influx org list | grep -q "${INFLUX_ORG}" 2>/dev/null; then 28 | echo "InfluxDB is already configured with organization '${INFLUX_ORG}'." 29 | echo "Checking if dashboard already exists..." 30 | 31 | # Check if the dashboard already exists 32 | if influx dashboards | grep -q "GPU metrics" 2>/dev/null; then 33 | echo "Dashboard 'GPU metrics' already exists." 34 | echo 35 | echo "=== SETUP SKIPPED ===" 36 | echo "InfluxDB is already fully configured and ready to use." 37 | echo 38 | echo "To get your admin token, run:" 39 | echo "influx auth list" 40 | echo 41 | echo "Access the InfluxDB dashboard at: http://localhost:8086" 42 | echo "Username: ${INFLUX_USERNAME}" 43 | echo "Password: ${INFLUX_PASSWORD}" 44 | exit 0 45 | else 46 | echo "Dashboard not found. Will import dashboard template." 47 | fi 48 | else 49 | echo "InfluxDB is installed but not configured. Proceeding with setup..." 50 | fi 51 | else 52 | echo "InfluxDB service is not running. Proceeding with installation..." 53 | fi 54 | else 55 | echo "InfluxDB CLI not found. Proceeding with installation..." 56 | fi 57 | 58 | echo "--- Starting InfluxDB Installation ---" 59 | 60 | # 1. Add InfluxDB repository 61 | wget -q https://repos.influxdata.com/influxdata-archive_compat.key 62 | echo '393e8779c89ac8d958f81f942f9ad7fb82a25e133faddaf92e15b16e6ac9ce4c influxdata-archive_compat.key' | sha256sum -c 63 | cat influxdata-archive_compat.key | gpg --dearmor | sudo tee /etc/apt/trusted.gpg.d/influxdata-archive_compat.gpg > /dev/null 64 | echo 'deb [signed-by=/etc/apt/trusted.gpg.d/influxdata-archive_compat.gpg] https://repos.influxdata.com/debian stable main' | sudo tee /etc/apt/sources.list.d/influxdb.list 65 | rm -f influxdata-archive_compat.key 66 | 67 | # 2. Install InfluxDB 3 (with fallback to InfluxDB 2 if 3 is not available) 68 | sudo apt-get update 69 | 70 | # Try to install InfluxDB 3 first 71 | if sudo apt-get install -y influxdb3-core 2>/dev/null; then 72 | echo "Successfully installed InfluxDB 3" 73 | INFLUXDB_VERSION="3" 74 | else 75 | echo "InfluxDB 3 not available, falling back to InfluxDB 2" 76 | sudo apt-get install -y influxdb2 77 | INFLUXDB_VERSION="2" 78 | fi 79 | 80 | echo "--- Starting InfluxDB Service ---" 81 | 82 | # 3. Start the service 83 | sudo service influxdb start 84 | 85 | # Wait a few seconds for the service to be ready 86 | sleep 5 87 | 88 | echo "--- Configuring InfluxDB ---" 89 | 90 | # 4. Check if InfluxDB is already configured 91 | if influx ping >/dev/null 2>&1 && influx org list | grep -q "${INFLUX_ORG}" 2>/dev/null; then 92 | echo "InfluxDB is already configured with organization '${INFLUX_ORG}'. Skipping setup." 93 | echo "Using existing configuration." 94 | else 95 | echo "Setting up InfluxDB for the first time..." 96 | # Run non-interactive setup (compatible with both v2 and v3) 97 | influx setup --username "${INFLUX_USERNAME}" --password "${INFLUX_PASSWORD}" --org "${INFLUX_ORG}" --bucket "${INFLUX_BUCKET}" --retention "${INFLUX_RETENTION}" --force 98 | fi 99 | 100 | # 5. Import the dashboard template 101 | echo "--- Importing Dashboard Template ---" 102 | 103 | # Get the directory where this script is located 104 | SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" 105 | DASHBOARD_TEMPLATE_PATH="${SCRIPT_DIR}/${DASHBOARD_TEMPLATE_FILE}" 106 | 107 | if [ -f "${DASHBOARD_TEMPLATE_PATH}" ]; then 108 | # Apply the dashboard template (ignore errors if dashboard already exists) 109 | if influx apply --file "${DASHBOARD_TEMPLATE_PATH}" --org "${INFLUX_ORG}" --force yes 2>/dev/null; then 110 | echo "Dashboard imported successfully." 111 | else 112 | echo "Dashboard already exists or import failed. Continuing..." 113 | fi 114 | else 115 | echo "WARNING: Dashboard template ${DASHBOARD_TEMPLATE_PATH} not found. Skipping import." 116 | fi 117 | 118 | echo "--- Setup Complete! ---" 119 | echo "Your InfluxDB ${INFLUXDB_VERSION} and dashboard are ready to use." 120 | echo 121 | echo "To get your admin token, run the following command:" 122 | echo "influx auth list" 123 | echo 124 | echo "Access the InfluxDB dashboard at: http://localhost:8086" 125 | echo "Username: ${INFLUX_USERNAME}" 126 | echo "Password: ${INFLUX_PASSWORD}" 127 | -------------------------------------------------------------------------------- /src/influxdb.rs: -------------------------------------------------------------------------------- 1 | use influxdb::{Client, Timestamp, WriteQuery}; 2 | use crate::gpu::info::GpuInfo; 3 | use std::error::Error; 4 | use tokio::runtime::Runtime; 5 | use std::time::{SystemTime, UNIX_EPOCH}; 6 | 7 | pub struct InfluxDBConfig { 8 | pub url: String, 9 | pub org: String, 10 | pub bucket: String, 11 | pub token: String, 12 | } 13 | 14 | impl InfluxDBConfig { 15 | pub fn validate(&self) -> Result<(), Box> { 16 | if self.url.is_empty() { 17 | return Err("InfluxDB URL cannot be empty".into()); 18 | } 19 | if self.org.is_empty() { 20 | return Err("InfluxDB organization cannot be empty".into()); 21 | } 22 | if self.bucket.is_empty() { 23 | return Err("InfluxDB bucket cannot be empty".into()); 24 | } 25 | if self.token.is_empty() { 26 | return Err("InfluxDB token cannot be empty".into()); 27 | } 28 | Ok(()) 29 | } 30 | } 31 | 32 | pub fn send_to_influxdb(config: &InfluxDBConfig, gpu_infos: &[GpuInfo]) -> Result<(), Box> { 33 | // Validate configuration first 34 | config.validate()?; 35 | 36 | let client = Client::new(&config.url, &config.bucket).with_token(&config.token); 37 | 38 | let timestamp = SystemTime::now() 39 | .duration_since(UNIX_EPOCH)? 40 | .as_nanos(); 41 | 42 | let queries: Vec = gpu_infos.iter().map(|gpu| { 43 | WriteQuery::new(Timestamp::Nanoseconds(timestamp), "gpu_metrics") 44 | .add_tag("gpu_index", gpu.index.to_string()) 45 | .add_tag("gpu_name", gpu.name.clone()) 46 | .add_field("temperature", gpu.temperature as f64) 47 | .add_field("utilization", gpu.utilization as f64) 48 | .add_field("memory_used", gpu.memory_used as i64) 49 | .add_field("memory_total", gpu.memory_total as i64) 50 | .add_field("power_usage", gpu.power_usage as f64) 51 | .add_field("power_limit", gpu.power_limit as f64) 52 | .add_field("clock_freq", gpu.clock_freq as f64) 53 | }).collect(); 54 | 55 | 56 | let runtime = Runtime::new()?; 57 | runtime.block_on(async { 58 | client.query(queries).await?; 59 | Ok(()) 60 | }) 61 | } 62 | 63 | #[cfg(test)] 64 | mod tests { 65 | use super::*; 66 | use crate::gpu::info::GpuInfo; 67 | 68 | fn create_test_gpu_info() -> GpuInfo { 69 | GpuInfo { 70 | index: 0, 71 | name: "Test GPU".to_string(), 72 | temperature: 75, 73 | utilization: 50, 74 | memory_used: 4 * 1024 * 1024 * 1024, // 4GB 75 | memory_total: 8 * 1024 * 1024 * 1024, // 8GB 76 | power_usage: 150, 77 | power_limit: 200, 78 | clock_freq: 1800, 79 | processes: vec![], 80 | } 81 | } 82 | 83 | #[test] 84 | fn test_influxdb_config_validation_valid() { 85 | let config = InfluxDBConfig { 86 | url: "http://localhost:8086".to_string(), 87 | org: "my-org".to_string(), 88 | bucket: "gpu-metrics".to_string(), 89 | token: "my-token".to_string(), 90 | }; 91 | 92 | assert!(config.validate().is_ok()); 93 | } 94 | 95 | #[test] 96 | fn test_influxdb_config_validation_empty_url() { 97 | let config = InfluxDBConfig { 98 | url: "".to_string(), 99 | org: "my-org".to_string(), 100 | bucket: "gpu-metrics".to_string(), 101 | token: "my-token".to_string(), 102 | }; 103 | 104 | assert!(config.validate().is_err()); 105 | } 106 | 107 | #[test] 108 | fn test_influxdb_config_validation_empty_org() { 109 | let config = InfluxDBConfig { 110 | url: "http://localhost:8086".to_string(), 111 | org: "".to_string(), 112 | bucket: "gpu-metrics".to_string(), 113 | token: "my-token".to_string(), 114 | }; 115 | 116 | assert!(config.validate().is_err()); 117 | } 118 | 119 | #[test] 120 | fn test_influxdb_config_validation_empty_bucket() { 121 | let config = InfluxDBConfig { 122 | url: "http://localhost:8086".to_string(), 123 | org: "my-org".to_string(), 124 | bucket: "".to_string(), 125 | token: "my-token".to_string(), 126 | }; 127 | 128 | assert!(config.validate().is_err()); 129 | } 130 | 131 | #[test] 132 | fn test_influxdb_config_validation_empty_token() { 133 | let config = InfluxDBConfig { 134 | url: "http://localhost:8086".to_string(), 135 | org: "my-org".to_string(), 136 | bucket: "gpu-metrics".to_string(), 137 | token: "".to_string(), 138 | }; 139 | 140 | assert!(config.validate().is_err()); 141 | } 142 | 143 | #[test] 144 | fn test_send_to_influxdb_with_empty_gpu_list() { 145 | let config = InfluxDBConfig { 146 | url: "http://localhost:8086".to_string(), 147 | org: "my-org".to_string(), 148 | bucket: "gpu-metrics".to_string(), 149 | token: "my-token".to_string(), 150 | }; 151 | 152 | let gpu_infos: Vec = vec![]; 153 | 154 | // This should fail because we can't connect to localhost:8086 in tests 155 | // but it should pass validation 156 | let result = send_to_influxdb(&config, &gpu_infos); 157 | // We expect this to fail due to connection, not validation 158 | assert!(result.is_err()); 159 | } 160 | 161 | #[test] 162 | fn test_send_to_influxdb_with_invalid_config() { 163 | let config = InfluxDBConfig { 164 | url: "".to_string(), // Invalid empty URL 165 | org: "my-org".to_string(), 166 | bucket: "gpu-metrics".to_string(), 167 | token: "my-token".to_string(), 168 | }; 169 | 170 | let gpu_infos = vec![create_test_gpu_info()]; 171 | 172 | let result = send_to_influxdb(&config, &gpu_infos); 173 | assert!(result.is_err()); 174 | } 175 | } -------------------------------------------------------------------------------- /src/main.rs: -------------------------------------------------------------------------------- 1 | mod app_state; 2 | mod gpu; 3 | mod influxdb; 4 | mod ui; 5 | mod utils; 6 | 7 | extern crate nvml_wrapper as nvml; 8 | 9 | use crate::gpu::info::collect_gpu_info; 10 | use crate::influxdb::{send_to_influxdb, InfluxDBConfig}; 11 | use crate::ui::render::ui; 12 | use crate::utils::system::kill_selected_process; 13 | use app_state::AppState; 14 | use clap::{Arg, Command}; 15 | use crossterm::event::{self, Event, KeyCode}; 16 | use crossterm::execute; 17 | use crossterm::terminal::{ 18 | disable_raw_mode, enable_raw_mode, EnterAlternateScreen, LeaveAlternateScreen, 19 | }; 20 | use nvml::Nvml; 21 | use ratatui::backend::CrosstermBackend; 22 | use ratatui::Terminal; 23 | use std::error::Error; 24 | use std::io::stdout; 25 | use std::time::{Duration, Instant}; 26 | 27 | fn main() -> Result<(), Box> { 28 | let matches = Command::new("nviwatch") 29 | .version("0.1.0") 30 | .author("Manpreet Singh") 31 | .about("NviWatch: A blazingly fast rust based TUI for managing and monitoring NVIDIA GPU processes") 32 | .arg( 33 | Arg::new("watch") 34 | .short('w') 35 | .long("watch") 36 | .value_name("MILLISECONDS") 37 | .help("Refresh interval in milliseconds") 38 | .default_value("300") 39 | .required(false), 40 | ) 41 | .arg( 42 | Arg::new("tabbed-graphs") 43 | .short('t') 44 | .long("tabbed-graphs") 45 | .help("Display GPU graphs in tabbed view") 46 | .action(clap::ArgAction::SetTrue), 47 | ) 48 | .arg( 49 | Arg::new("bar-chart") 50 | .short('b') 51 | .long("bar-chart") 52 | .help("Display GPU graphs as bar charts") 53 | .action(clap::ArgAction::SetTrue), 54 | ) 55 | .arg( 56 | Arg::new("influx-url") 57 | .long("influx-url") 58 | .value_name("URL") 59 | .help("InfluxDB URL") 60 | .required(false), 61 | ) 62 | .arg( 63 | Arg::new("influx-org") 64 | .long("influx-org") 65 | .value_name("ORG") 66 | .help("InfluxDB organization") 67 | .required(false), 68 | ) 69 | .arg( 70 | Arg::new("influx-bucket") 71 | .long("influx-bucket") 72 | .value_name("BUCKET") 73 | .help("InfluxDB bucket") 74 | .required(false), 75 | ) 76 | .arg( 77 | Arg::new("influx-token") 78 | .long("influx-token") 79 | .value_name("TOKEN") 80 | .help("InfluxDB token") 81 | .required(false), 82 | ) 83 | .get_matches(); 84 | 85 | let use_tabbed_graphs = matches.get_flag("tabbed-graphs"); 86 | let use_bar_charts = matches.get_flag("bar-chart"); 87 | 88 | let watch_interval = matches 89 | .get_one::("watch") 90 | .map(|s| s.parse().expect("Invalid number")) 91 | .unwrap_or(1000); 92 | 93 | let influx_url = matches.get_one::("influx-url").cloned(); 94 | let influx_org = matches.get_one::("influx-org").cloned(); 95 | let influx_bucket = matches.get_one::("influx-bucket").cloned(); 96 | let influx_token = matches.get_one::("influx-token").cloned(); 97 | 98 | let nvml = Nvml::init()?; 99 | 100 | let mut stdout = stdout(); 101 | execute!(stdout, EnterAlternateScreen)?; 102 | enable_raw_mode()?; 103 | 104 | let backend = CrosstermBackend::new(stdout); 105 | let mut terminal = Terminal::new(backend)?; 106 | 107 | let mut last_update = Instant::now(); 108 | 109 | let mut app_state = AppState { 110 | selected_process: 0, 111 | selected_gpu_tab: 0, 112 | gpu_infos: Vec::new(), 113 | error_message: None, 114 | power_history: Vec::new(), 115 | utilization_history: Vec::new(), 116 | use_tabbed_graphs, 117 | use_bar_charts, 118 | }; 119 | 120 | loop { 121 | if last_update.elapsed() >= Duration::from_millis(watch_interval) { 122 | last_update = Instant::now(); 123 | app_state.gpu_infos = collect_gpu_info(&nvml, &mut app_state)?; 124 | 125 | if let (Some(url), Some(org), Some(bucket), Some(token)) = 126 | (influx_url.as_ref(), influx_org.as_ref(), influx_bucket.as_ref(), influx_token.as_ref()) 127 | { 128 | let influx_config = InfluxDBConfig { 129 | url: url.clone(), 130 | org: org.clone(), 131 | bucket: bucket.clone(), 132 | token: token.clone(), 133 | }; 134 | if let Err(e) = send_to_influxdb(&influx_config, &app_state.gpu_infos) { 135 | app_state.error_message = Some(format!("InfluxDB Error: {}", e)); 136 | } 137 | } 138 | } 139 | 140 | terminal.draw(|f| ui(f, &app_state))?; 141 | 142 | if event::poll(Duration::from_millis(100))? { 143 | if let Event::Key(key) = event::read()? { 144 | match key.code { 145 | KeyCode::Char('q') => break, 146 | KeyCode::Up => { 147 | if app_state.selected_process > 0 { 148 | app_state.selected_process -= 1; 149 | } 150 | } 151 | KeyCode::Down => { 152 | let total_processes: usize = app_state 153 | .gpu_infos 154 | .iter() 155 | .map(|gpu| gpu.processes.len()) 156 | .sum(); 157 | if total_processes > 0 && app_state.selected_process < total_processes - 1 { 158 | app_state.selected_process += 1; 159 | } 160 | } 161 | KeyCode::Left => { 162 | if app_state.use_tabbed_graphs && app_state.selected_gpu_tab > 0 { 163 | app_state.selected_gpu_tab -= 1; 164 | } 165 | } 166 | KeyCode::Right => { 167 | if app_state.use_tabbed_graphs 168 | && app_state.selected_gpu_tab < app_state.gpu_infos.len() - 1 169 | { 170 | app_state.selected_gpu_tab += 1; 171 | } 172 | } 173 | KeyCode::Char('x') => { 174 | if let Err(e) = kill_selected_process(&app_state) { 175 | app_state.error_message = Some(e.to_string()); 176 | } 177 | } 178 | KeyCode::Char('d') => { 179 | app_state.use_tabbed_graphs = false; 180 | app_state.use_bar_charts = false; 181 | } 182 | KeyCode::Char('t') => { 183 | app_state.use_tabbed_graphs = true; 184 | app_state.use_bar_charts = false; 185 | } 186 | KeyCode::Char('b') => { 187 | app_state.use_tabbed_graphs = false; 188 | app_state.use_bar_charts = true; 189 | } 190 | _ => {} 191 | } 192 | } 193 | } 194 | } 195 | 196 | disable_raw_mode()?; 197 | execute!(terminal.backend_mut(), LeaveAlternateScreen)?; 198 | terminal.show_cursor()?; 199 | 200 | Ok(()) 201 | } 202 | -------------------------------------------------------------------------------- /src/ui/widgets.rs: -------------------------------------------------------------------------------- 1 | use crate::app_state::AppState; 2 | use crate::gpu::info::GpuInfo; 3 | use ratatui::layout::Rect; 4 | use ratatui::prelude::*; 5 | use ratatui::widgets::*; 6 | use ratatui::Frame; 7 | use std::cmp; 8 | 9 | pub fn render_gpu_graphs(f: &mut Frame, area: Rect, app_state: &AppState) { 10 | if app_state.use_bar_charts { 11 | render_gpu_bar_charts(f, area, app_state); 12 | } else if app_state.use_tabbed_graphs { 13 | render_tabbed_gpu_graphs(f, area, app_state); 14 | } else { 15 | render_all_gpu_graphs(f, area, app_state); 16 | } 17 | } 18 | pub fn render_gpu_bar_charts(f: &mut Frame, area: Rect, app_state: &AppState) { 19 | let gpu_count = app_state.gpu_infos.len(); 20 | let chunks = Layout::default() 21 | .direction(Direction::Vertical) 22 | .constraints(vec![ 23 | Constraint::Percentage((100 / gpu_count) as u16); 24 | gpu_count 25 | ]) 26 | .split(area); 27 | 28 | for (index, gpu_info) in app_state.gpu_infos.iter().enumerate() { 29 | let gpu_area = chunks[index]; 30 | let gpu_chunks = Layout::default() 31 | .direction(Direction::Horizontal) 32 | .constraints([Constraint::Percentage(50), Constraint::Percentage(50)].as_ref()) 33 | .split(gpu_area); 34 | 35 | render_power_bar(f, gpu_chunks[0], gpu_info, index); 36 | render_utilization_bar(f, gpu_chunks[1], gpu_info, index); 37 | } 38 | } 39 | pub fn render_tabbed_gpu_graphs(f: &mut Frame, area: Rect, app_state: &AppState) { 40 | // Create tab titles 41 | let titles: Vec = app_state 42 | .gpu_infos 43 | .iter() 44 | .enumerate() 45 | .map(|(i, _)| Line::from(format!("GPU {}", i))) 46 | .collect(); 47 | 48 | // Create Tabs widget 49 | let tabs = Tabs::new(titles) 50 | .block(Block::default().borders(Borders::ALL).title("GPU Graphs")) 51 | .select(app_state.selected_gpu_tab) 52 | .style(Style::default().fg(Color::White)) 53 | .highlight_style(Style::default().fg(Color::Yellow)); 54 | 55 | // Render tabs 56 | let chunks = Layout::default() 57 | .direction(Direction::Vertical) 58 | .constraints([Constraint::Length(3), Constraint::Min(0)].as_ref()) 59 | .split(area); 60 | 61 | f.render_widget(tabs, chunks[0]); 62 | 63 | // Render graphs for the selected GPU 64 | if let Some(_gpu_info) = app_state.gpu_infos.get(app_state.selected_gpu_tab) { 65 | let gpu_chunks = Layout::default() 66 | .direction(Direction::Horizontal) 67 | .constraints([Constraint::Percentage(50), Constraint::Percentage(50)].as_ref()) 68 | .split(chunks[1]); 69 | 70 | render_power_graph(f, gpu_chunks[0], app_state, app_state.selected_gpu_tab); 71 | render_utilization_graph(f, gpu_chunks[1], app_state, app_state.selected_gpu_tab); 72 | } 73 | } 74 | 75 | pub fn render_footer(f: &mut Frame, area: Rect, app_state: &AppState) { 76 | let footer_text = if app_state.use_tabbed_graphs { 77 | "↑↓: nav processes | ←→: switch GPU tabs | x: kill process | d: default mode | b: bar mode | q: quit" 78 | } else if app_state.use_bar_charts { 79 | "↑↓: nav processes | x: kill process | d: default mode | t: tabbed mode | q: quit" 80 | } else { 81 | "↑↓: nav processes | x: kill process | b: bar mode | t: tabbed mode | q: quit" 82 | }; 83 | 84 | let footer = Paragraph::new(footer_text) 85 | .style(Style::default().fg(Color::Gray)) 86 | .alignment(Alignment::Center); 87 | f.render_widget(footer, area); 88 | } 89 | 90 | pub fn render_all_gpu_graphs(f: &mut Frame, area: Rect, app_state: &AppState) { 91 | let gpu_count = app_state.gpu_infos.len(); 92 | if gpu_count > 0 { 93 | let chunks = Layout::default() 94 | .direction(Direction::Vertical) 95 | .constraints(vec![ 96 | Constraint::Percentage((100 / gpu_count) as u16); 97 | gpu_count 98 | ]) 99 | .split(area); 100 | 101 | for (index, _) in app_state.gpu_infos.iter().enumerate() { 102 | let gpu_area = chunks[index]; 103 | let gpu_chunks = Layout::default() 104 | .direction(Direction::Horizontal) 105 | .constraints([Constraint::Percentage(50), Constraint::Percentage(50)].as_ref()) 106 | .split(gpu_area); 107 | 108 | render_power_graph(f, gpu_chunks[0], app_state, index); 109 | render_utilization_graph(f, gpu_chunks[1], app_state, index); 110 | } 111 | } else { 112 | // Display a message when no GPUs are found 113 | let no_gpus_message = "No GPUs found."; 114 | let paragraph = Paragraph::new(no_gpus_message) 115 | .style(Style::default().fg(Color::Red)) 116 | .alignment(Alignment::Center); 117 | f.render_widget(paragraph, area); 118 | } 119 | } 120 | 121 | pub fn render_power_bar(f: &mut Frame, area: Rect, gpu_info: &GpuInfo, gpu_index: usize) { 122 | let power_percentage = cmp::min( 123 | 100, 124 | ((gpu_info.power_usage as f64 / gpu_info.power_limit as f64) * 100.0) as u16, 125 | ); 126 | let power_bar = Gauge::default() 127 | .block( 128 | Block::default() 129 | .title(format!("GPU {} Power", gpu_index)) 130 | .borders(Borders::ALL), 131 | ) 132 | .gauge_style(Style::default().fg(Color::Yellow)) 133 | .percent(power_percentage) 134 | .label(format!( 135 | "{}/{}W", 136 | gpu_info.power_usage, gpu_info.power_limit 137 | )); 138 | f.render_widget(power_bar, area); 139 | } 140 | 141 | pub fn render_utilization_bar(f: &mut Frame, area: Rect, gpu_info: &GpuInfo, gpu_index: usize) { 142 | let util_percentage = cmp::min(100, gpu_info.utilization as u16); 143 | let util_bar = Gauge::default() 144 | .block( 145 | Block::default() 146 | .title(format!("GPU {} Utilization", gpu_index)) 147 | .borders(Borders::ALL), 148 | ) 149 | .gauge_style(Style::default().fg(Color::Magenta)) 150 | .percent(util_percentage) 151 | .label(format!("{}%", gpu_info.utilization)); 152 | f.render_widget(util_bar, area); 153 | } 154 | 155 | pub fn render_power_graph(f: &mut Frame, area: Rect, app_state: &AppState, gpu_index: usize) { 156 | let gpu_info = &app_state.gpu_infos[gpu_index]; 157 | let power_data: Vec<(f64, f64)> = app_state.power_history[gpu_index] 158 | .iter() 159 | .enumerate() 160 | .map(|(i, &v)| (i as f64, v as f64)) 161 | .collect(); 162 | 163 | let power_dataset = Dataset::default() 164 | .name("Power (W)") 165 | .marker(symbols::Marker::Braille) 166 | .graph_type(ratatui::widgets::GraphType::Line) 167 | .style(Style::default().fg(Color::Yellow)) 168 | .data(&power_data); 169 | 170 | let power_chart = Chart::new(vec![power_dataset]) 171 | .block( 172 | Block::default() 173 | .title(format!("GPU {} Power", gpu_index)) 174 | .borders(Borders::ALL), 175 | ) 176 | .x_axis( 177 | Axis::default() 178 | .title("Time (s)") 179 | .style(Style::default().fg(Color::Gray)) 180 | .bounds([0.0, 60.0]) 181 | .labels( 182 | ["0", "15", "30", "45", "60"] 183 | .iter() 184 | .map(|&s| s.to_string()) 185 | .collect::>(), 186 | ), 187 | ) 188 | .y_axis( 189 | Axis::default() 190 | .title("Power (W)") 191 | .style(Style::default().fg(Color::Gray)) 192 | .bounds([0.0, gpu_info.power_limit as f64 * 1.1]) 193 | .labels(vec![ 194 | format!("{:.0}", 0.0), 195 | format!("{:.0}", gpu_info.power_limit as f64 / 2.0), 196 | format!("{:.0}", gpu_info.power_limit as f64), 197 | ]), 198 | ); 199 | 200 | f.render_widget(power_chart, area); 201 | } 202 | 203 | pub fn render_utilization_graph(f: &mut Frame, area: Rect, app_state: &AppState, gpu_index: usize) { 204 | let util_data: Vec<(f64, f64)> = app_state.utilization_history[gpu_index] 205 | .iter() 206 | .enumerate() 207 | .map(|(i, &v)| (i as f64, v as f64)) 208 | .collect(); 209 | 210 | let util_dataset = Dataset::default() 211 | .name("Utilization (%)") 212 | .marker(symbols::Marker::Braille) 213 | .graph_type(ratatui::widgets::GraphType::Line) 214 | .style(Style::default().fg(Color::Magenta)) 215 | .data(&util_data); 216 | 217 | let util_chart = Chart::new(vec![util_dataset]) 218 | .block( 219 | Block::default() 220 | .title(format!("GPU {} Utilization", gpu_index)) 221 | .borders(Borders::ALL), 222 | ) 223 | .x_axis( 224 | Axis::default() 225 | .title("Time (s)") 226 | .style(Style::default().fg(Color::Gray)) 227 | .bounds([0.0, 60.0]) 228 | .labels( 229 | ["0", "15", "30", "45", "60"] 230 | .iter() 231 | .map(|&s| s.to_string()) 232 | .collect::>(), 233 | ), 234 | ) 235 | .y_axis( 236 | Axis::default() 237 | .title("Utilization (%)") 238 | .style(Style::default().fg(Color::Gray)) 239 | .bounds([0.0, 100.0]) 240 | .labels( 241 | ["0", "25", "50", "75", "100"] 242 | .iter() 243 | .map(|&s| s.to_string()) 244 | .collect::>(), 245 | ), 246 | ); 247 | 248 | f.render_widget(util_chart, area); 249 | } 250 | -------------------------------------------------------------------------------- /src/ui/render.rs: -------------------------------------------------------------------------------- 1 | use crate::app_state::AppState; 2 | use crate::gpu::info::GpuInfo; 3 | use crate::ui::widgets::{render_footer, render_gpu_graphs}; 4 | use crate::utils::formatting::format_memory_size; 5 | use ratatui::layout::Rect; 6 | use ratatui::layout::{Constraint, Direction, Layout}; 7 | use ratatui::style::{Color, Modifier, Style}; 8 | use ratatui::widgets::{Block, Borders, Cell, Paragraph, Row, Table}; 9 | use ratatui::Frame; 10 | 11 | pub fn ui(f: &mut Frame, app_state: &AppState) { 12 | let num_gpus = app_state.gpu_infos.len(); 13 | let gpu_info_percentage = { 14 | let base_percentage = num_gpus as u16 * 5; 15 | base_percentage.clamp(10, 20) 16 | }; 17 | 18 | let chunks = Layout::default() 19 | .direction(Direction::Vertical) 20 | .constraints( 21 | [ 22 | Constraint::Percentage(gpu_info_percentage), 23 | Constraint::Percentage(40), 24 | Constraint::Min(0), 25 | ] 26 | .as_ref(), 27 | ) 28 | .split(f.area()); 29 | 30 | render_gpu_info(f, chunks[0], &app_state.gpu_infos); 31 | render_gpu_graphs(f, chunks[1], app_state); 32 | render_process_list(f, chunks[2], app_state); 33 | } 34 | 35 | pub fn render_gpu_info(f: &mut Frame, area: Rect, gpu_infos: &[GpuInfo]) { 36 | let block = Block::default().borders(Borders::ALL).title("GPU Info"); 37 | f.render_widget(block.clone(), area); 38 | let gpu_area = block.inner(area); 39 | 40 | // Calculate maximum widths for each column 41 | let max_index_width = gpu_infos 42 | .iter() 43 | .map(|info| info.index.to_string().len()) 44 | .max() 45 | .unwrap_or(0) 46 | .max(3); 47 | let max_name_width = gpu_infos 48 | .iter() 49 | .map(|info| info.name.len()) 50 | .max() 51 | .unwrap_or(0) 52 | .max(4); 53 | let max_temp_width = gpu_infos 54 | .iter() 55 | .map(|info| format!("{}°C", info.temperature).len()) 56 | .max() 57 | .unwrap_or(0) 58 | .max(4); 59 | let max_util_width = gpu_infos 60 | .iter() 61 | .map(|info| format!("{}%", info.utilization).len()) 62 | .max() 63 | .unwrap_or(0) 64 | .max(4); 65 | let max_memory_width = gpu_infos 66 | .iter() 67 | .map(|info| { 68 | format!( 69 | "{}/{}MB", 70 | info.memory_used / 1_048_576, 71 | info.memory_total / 1_048_576 72 | ) 73 | .len() 74 | }) 75 | .max() 76 | .unwrap_or(0) 77 | .max(6); 78 | let max_power_width = gpu_infos 79 | .iter() 80 | .map(|info| format!("{}/{}W", info.power_usage, info.power_limit).len()) 81 | .max() 82 | .unwrap_or(0) 83 | .max(5); 84 | let max_clock_width = gpu_infos 85 | .iter() 86 | .map(|info| format!("{}MHz", info.clock_freq).len()) 87 | .max() 88 | .unwrap_or(0) 89 | .max(5); 90 | 91 | // Add some padding to each width 92 | let index_width = max_index_width + 2; 93 | let name_width = max_name_width + 2; 94 | let temp_width = max_temp_width + 2; 95 | let util_width = max_util_width + 2; 96 | let memory_width = max_memory_width + 2; 97 | let power_width = max_power_width + 2; 98 | let clock_width = max_clock_width + 2; 99 | 100 | let rows: Vec = gpu_infos 101 | .iter() 102 | .map(|info| { 103 | let cells = vec![ 104 | Cell::from(info.index.to_string()).style(Style::default().fg(Color::Cyan)), 105 | Cell::from(info.name.as_str()).style(Style::default().fg(Color::Green)), 106 | Cell::from(format!("{}°C", info.temperature)) 107 | .style(Style::default().fg(Color::Red)), 108 | Cell::from(format!("{}%", info.utilization)) 109 | .style(Style::default().fg(Color::Magenta)), 110 | Cell::from(format!( 111 | "{}/{}", 112 | format_memory_size(info.memory_used), 113 | format_memory_size(info.memory_total) 114 | )) 115 | .style(Style::default().fg(Color::Blue)), 116 | Cell::from(format!("{}/{}W", info.power_usage, info.power_limit)) 117 | .style(Style::default().fg(Color::Yellow)), 118 | Cell::from(format!("{}MHz", info.clock_freq)) 119 | .style(Style::default().fg(Color::LightCyan)), 120 | ]; 121 | Row::new(cells) 122 | }) 123 | .collect(); 124 | 125 | let table = Table::new( 126 | rows, 127 | &[ 128 | Constraint::Length(index_width as u16), 129 | Constraint::Length(name_width as u16), 130 | Constraint::Length(temp_width as u16), 131 | Constraint::Length(util_width as u16), 132 | Constraint::Length(memory_width as u16), 133 | Constraint::Length(power_width as u16), 134 | Constraint::Length(clock_width as u16), 135 | ], 136 | ) 137 | .header(Row::new(vec![ 138 | Cell::from("GPU").style( 139 | Style::default() 140 | .fg(Color::Cyan) 141 | .add_modifier(Modifier::BOLD), 142 | ), 143 | Cell::from("Name").style( 144 | Style::default() 145 | .fg(Color::Green) 146 | .add_modifier(Modifier::BOLD), 147 | ), 148 | Cell::from("Temp").style(Style::default().fg(Color::Red).add_modifier(Modifier::BOLD)), 149 | Cell::from("Util").style( 150 | Style::default() 151 | .fg(Color::Magenta) 152 | .add_modifier(Modifier::BOLD), 153 | ), 154 | Cell::from("Memory").style( 155 | Style::default() 156 | .fg(Color::Blue) 157 | .add_modifier(Modifier::BOLD), 158 | ), 159 | Cell::from("Power").style( 160 | Style::default() 161 | .fg(Color::Yellow) 162 | .add_modifier(Modifier::BOLD), 163 | ), 164 | Cell::from("Clock").style( 165 | Style::default() 166 | .fg(Color::LightCyan) 167 | .add_modifier(Modifier::BOLD), 168 | ), 169 | ])) 170 | .widths([ 171 | Constraint::Length(index_width as u16), 172 | Constraint::Length(name_width as u16), 173 | Constraint::Length(temp_width as u16), 174 | Constraint::Length(util_width as u16), 175 | Constraint::Length(memory_width as u16), 176 | Constraint::Length(power_width as u16), 177 | Constraint::Length(clock_width as u16), 178 | ]) 179 | .column_spacing(1); 180 | 181 | f.render_widget(table, gpu_area); 182 | } 183 | pub fn render_process_list(f: &mut Frame, area: Rect, app_state: &AppState) { 184 | let layout = Layout::default() 185 | .direction(Direction::Vertical) 186 | .constraints([Constraint::Min(0), Constraint::Length(1)].as_ref()) 187 | .split(area); 188 | 189 | let main_area = layout[0]; 190 | let footer_area = layout[1]; 191 | 192 | let block = Block::default() 193 | .borders(Borders::ALL) 194 | .title("GPU Processes"); 195 | f.render_widget(block.clone(), main_area); 196 | let process_area = block.inner(main_area); 197 | 198 | let mut all_processes = Vec::new(); 199 | for (gpu_index, gpu_info) in app_state.gpu_infos.iter().enumerate() { 200 | for process in &gpu_info.processes { 201 | all_processes.push((gpu_index, process)); 202 | } 203 | } 204 | 205 | all_processes.sort_by(|a, b| b.1.used_gpu_memory.cmp(&a.1.used_gpu_memory)); 206 | 207 | let rows: Vec = all_processes 208 | .iter() 209 | .enumerate() 210 | .map(|(index, (gpu_index, process))| { 211 | let style = if index == app_state.selected_process { 212 | Style::default().bg(Color::DarkGray) 213 | } else { 214 | Style::default() 215 | }; 216 | 217 | Row::new(vec![ 218 | Cell::from(gpu_index.to_string()).style(style.fg(Color::Cyan)), 219 | Cell::from(process.pid.to_string()).style(style.fg(Color::Yellow)), 220 | Cell::from(format_memory_size(process.used_gpu_memory)) 221 | .style(style.fg(Color::Green)), 222 | Cell::from(format!("{:.1}%", process.cpu_usage)).style(style.fg(Color::Magenta)), 223 | Cell::from(format_memory_size(process.memory_usage)).style(style.fg(Color::Blue)), 224 | Cell::from(process.username.as_str()).style(style.fg(Color::Red)), 225 | Cell::from(process.command.as_str()).style(style), 226 | ]) 227 | }) 228 | .collect(); 229 | 230 | let table = Table::new( 231 | rows, 232 | &[ 233 | Constraint::Length(3), 234 | Constraint::Length(7), 235 | Constraint::Length(8), 236 | Constraint::Length(6), 237 | Constraint::Length(8), 238 | Constraint::Length(15), 239 | Constraint::Percentage(100), 240 | ], 241 | ) 242 | .header(Row::new(vec![ 243 | Cell::from("GPU").style( 244 | Style::default() 245 | .fg(Color::Cyan) 246 | .add_modifier(Modifier::BOLD), 247 | ), 248 | Cell::from("PID").style( 249 | Style::default() 250 | .fg(Color::Yellow) 251 | .add_modifier(Modifier::BOLD), 252 | ), 253 | Cell::from("GPU Mem").style( 254 | Style::default() 255 | .fg(Color::Green) 256 | .add_modifier(Modifier::BOLD), 257 | ), 258 | Cell::from("CPU").style( 259 | Style::default() 260 | .fg(Color::Magenta) 261 | .add_modifier(Modifier::BOLD), 262 | ), 263 | Cell::from("Mem").style( 264 | Style::default() 265 | .fg(Color::Blue) 266 | .add_modifier(Modifier::BOLD), 267 | ), 268 | Cell::from("User").style(Style::default().fg(Color::Red).add_modifier(Modifier::BOLD)), 269 | Cell::from("Command").style(Style::default().add_modifier(Modifier::BOLD)), 270 | ])) 271 | .column_spacing(1); 272 | 273 | if let Some(error_msg) = &app_state.error_message { 274 | let error_text = textwrap::wrap(error_msg, process_area.width as usize - 2); 275 | let error_paragraph = Paragraph::new(error_text.join("\n")) 276 | .style(Style::default().fg(Color::Red)) 277 | .block(Block::default().borders(Borders::ALL).title("Error")); 278 | let error_area = Rect { 279 | x: process_area.x, 280 | y: process_area.y + process_area.height - 3, 281 | width: process_area.width, 282 | height: 3, 283 | }; 284 | f.render_widget(error_paragraph, error_area); 285 | } 286 | 287 | f.render_widget(table, process_area); 288 | // Render the footer 289 | render_footer(f, footer_area, app_state); 290 | } 291 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | - [NviWatch](#nviwatch) 2 | - [Demo](#demo) 3 | - [Benchmarks](#benchmarks) 4 | - [Benchmark Results](#benchmark-results) 5 | - [Installation Size Comparison](#installation-size-comparison) 6 | - [Analysis](#analysis) 7 | - [Features](#features) 8 | - [InfluxDB Integration](#influxdb-integration) 9 | - [Setting up InfluxDB](#setting-up-influxdb) 10 | - [Running NviWatch with InfluxDB Logging](#running-nviwatch-with-influxdb-logging) 11 | - [Dashboard Features](#dashboard-features) 12 | - [Custom Configuration](#custom-configuration) 13 | - [Installing and Using the Tool](#installing-and-using-the-tool) 14 | - [Option 1: Download Pre-built Binary](#option-1-download-pre-built-binary) 15 | - [Option 2: Install via Cargo](#option-2-install-via-cargo) 16 | - [Option 3: Build from Source](#option-3-build-from-source) 17 | - [Usage](#usage) 18 | - [Key Bindings](#key-bindings) 19 | - [View Modes](#view-modes) 20 | - [1. Default Mode](#1-default-mode) 21 | - [2. Bar Mode](#2-bar-mode) 22 | - [3. Tabbed Mode: GPU graphs in tabs for multi GPU nodes](#3-tabbed-mode-gpu-graphs-in-tabs-for-multi-gpu-nodes) 23 | - [Star History](#star-history) 24 | - [License](#license) 25 | - [Contributing](#contributing) 26 | - [Acknowledgments](#acknowledgments) 27 | 28 | 29 | # NviWatch 30 | 31 | NviWatch is an interactive terminal user interface (TUI) application for monitoring NVIDIA GPU devices and processes. Built with Rust, it provides real-time insights into GPU performance metrics, including temperature, utilization, memory usage, and power consumption. 32 | 33 | ## Demo 34 | 35 | https://github.com/user-attachments/assets/176565fe-4467-4129-b783-071543c52bf4 36 | 37 | ## Benchmarks 38 | 39 | We conducted performance benchmarks comparing nviwatch with other popular GPU monitoring tools: nvtop, nvitop, and gpustat. The results demonstrate nviwatch's efficiency in terms of CPU and memory usage. All tools except nvitop were run at 100ms interval. nvitop was set to 250ms because that is the minimum allowed value. The benchmark scripts and logs are available in the benchmarks folder. The test system had 32 GB RAM. 40 | 41 | ![nvitop error for 100ms input](benchmarks/nvitop_error.png) 42 | 43 | ### Benchmark Results 44 | 45 | | Tool | CPU Usage (%) | Memory Usage (%) | Memory Usage (MB) | 46 | |----------|---------------|-------------------|-------------------| 47 | | | Mean / Max | Mean / Max | Mean / Max | 48 | | nviwatch | 0.28 / 10.0 | 0.12 / 0.12 | 18.26 / 18.26 | 49 | | nvtop | 0.25 / 20.0 | 0.13 / 0.13 | 20.46 / 20.46 | 50 | | nvitop | 0.88 / 10.0 | 0.26 / 0.26 | 41.07 / 41.07 | 51 | | gpustat | 3.47 / 49.9 | 0.21 / 0.21 | 33.82 / 33.82 | 52 | 53 | ![Benchmarks comparison](benchmarks/process_usage_comparison.png) 54 | 55 | ### Installation Size Comparison 56 | 57 | We used [python-package-size](https://github.com/qertoip/python-package-size) for determining the pip package sizes. For nvtop We used this `apt show nvtop | grep Installed-Size`. 58 | 59 | | Tool | Package Size | 60 | |----------|--------------| 61 | | nviwatch | 1.98 MB | 62 | | nvitop | 4.1 MB | 63 | | gpustat | 3.7 MB | 64 | | nvtop | 106 KB | 65 | 66 | ### Analysis 67 | 68 | - **CPU Usage**: nviwatch demonstrates excellent CPU efficiency, with an average usage of just 0.28% and a maximum of 10%. It outperforms gpustat and nvitop and is comparable to nvtop in terms of average CPU usage. Important to note that nvtop supports more GPUs than just Nvidia so nviwatch isn't a complete alternative for nvwatch. 69 | 70 | - **Memory Usage**: nviwatch shows the lowest memory footprint among all tested tools, using only 0.12% of system memory on average, which translates to about 18.26 MB. This is notably less than nvitop (41.07 MB) and gpustat (33.82 MB), and slightly better than nvtop (20.46 MB). 71 | 72 | - **Consistency**: nviwatch maintains consistent memory usage throughout its operation, as indicated by the identical mean and max values for memory usage. 73 | 74 | - **Package Size**: At 1.98 MB, nviwatch offers a balanced package size. It's significantly smaller than nvitop (4.1 MB) and gpustat (3.7 MB), while being significantly larger than nvtop (106 KB). 75 | 76 | ## Features 77 | 78 | - **Real-Time Monitoring**: View real-time data on GPU temperature, utilization, memory usage, and power consumption. 79 | - **Process Management**: Monitor processes running on the GPU and terminate them directly from the interface. 80 | - **Graphical Display**: Visualize GPU performance metrics using bar charts and tabbed graphs. 81 | - **Customizable Refresh Rate**: Set the refresh interval for updating GPU metrics. 82 | - **InfluxDB Integration**: Stream GPU metrics to InfluxDB for long-term monitoring and visualization. 83 | 84 | ## InfluxDB Integration 85 | 86 | NviWatch supports streaming GPU metrics to InfluxDB for persistent storage and advanced visualization. This enables long-term monitoring, historical analysis, and custom dashboards. 87 | 88 | ### Setting up InfluxDB 89 | 90 | 1. **Run the setup script** (recommended for Ubuntu/Debian): 91 | ```bash 92 | chmod +x scripts/setup_influxdb.sh 93 | ./scripts/setup_influxdb.sh 94 | ``` 95 | 96 | This script will: 97 | - Install InfluxDB 3.x (with fallback to InfluxDB 2.x if 3.x is not available) 98 | - Configure the database with default settings: 99 | - Username: `admin` 100 | - Password: `password12345` 101 | - Organization: `my-org` 102 | - Bucket: `gpu-metrics` 103 | - Data retention: 7 days 104 | - Import a pre-configured GPU monitoring dashboard 105 | 106 | 2. **Get your admin token**: 107 | ```bash 108 | influx auth list 109 | ``` 110 | 111 | 3. **Access the InfluxDB dashboard**: 112 | - Open your web browser and navigate to `http://localhost:8086` 113 | - Login with the credentials: 114 | - Username: `admin` 115 | - Password: `password12345` 116 | 117 | ### Running NviWatch with InfluxDB Logging 118 | 119 | To start NviWatch with InfluxDB integration, use the following command-line options: 120 | 121 | ```bash 122 | nviwatch \ 123 | --influx-url "http://localhost:8086" \ 124 | --influx-org "my-org" \ 125 | --influx-bucket "gpu-metrics" \ 126 | --influx-token "your-admin-token-here" 127 | ``` 128 | 129 | **Example with all options**: 130 | ```bash 131 | nviwatch \ 132 | --watch 1000 \ 133 | --tabbed-graphs \ 134 | --influx-url "http://localhost:8086" \ 135 | --influx-org "my-org" \ 136 | --influx-bucket "gpu-metrics" \ 137 | --influx-token "your-admin-token-here" 138 | ``` 139 | 140 | ### Dashboard Features 141 | 142 | The included dashboard provides: 143 | - **Memory Utilization**: Real-time GPU memory usage tracking 144 | - **GPU Utilization**: Performance utilization percentage over time 145 | - **Temperature**: GPU temperature monitoring 146 | - **Power Usage**: Power consumption tracking in watts 147 | 148 | ![InfluxDB Dashboard](assets/influxdb_dashboard.png) 149 | 150 | ### Custom Configuration 151 | 152 | You can modify the `scripts/setup_influxdb.sh` script to change default settings: 153 | - Edit the configuration variables at the top of the script 154 | - Re-run the script to apply changes 155 | - Update your nviwatch command with the new credentials 156 | 157 | ## Installing and Using the Tool 158 | 159 | ### Option 1: Download Pre-built Binary 160 | 161 | 1. Go to the project's GitHub repository. 162 | 2. Navigate to the "Releases" section. 163 | 3. Download the latest binary release for linux. 164 | 4. Once downloaded, open a terminal and navigate to the directory containing the downloaded binary. 165 | 5. Make the binary executable with the following command: 166 | ``` 167 | chmod +x nviwatch 168 | ``` 169 | 170 | 6. You can now run the tool using: 171 | 172 | ``` 173 | ./nviwatch 174 | ``` 175 | 176 | ### Option 2: Install via Cargo 177 | 178 | If you have Rust and Cargo installed on your system, you can easily install NviWatch directly from crates.io: 179 | 180 | 1. Open a terminal and run the following command: 181 | ```bash 182 | cargo install nviwatch 183 | ``` 184 | 185 | 2. Once the installation is complete, you can run NviWatch from anywhere in your terminal: 186 | ```bash 187 | nviwatch 188 | ``` 189 | 190 | Note: Ensure you have the NVIDIA Management Library (NVML) available on your system before running NviWatch. 191 | 192 | ### Option 3: Build from Source 193 | 194 | To build and run NviWatch, ensure you have Rust and Cargo installed on your system. You will also need the NVIDIA Management Library (NVML) available. 195 | 196 | 1. Clone the repository: 197 | ```bash 198 | git clone https://github.com/msminhas93/nviwatch.git 199 | cd nviwatch 200 | ``` 201 | 202 | 2. Build the project: 203 | ```bash 204 | cargo build --release 205 | ``` 206 | 207 | 3. Run the application: 208 | ```bash 209 | chmod +x ./target/release/nviwatch 210 | ./target/release/nviwatch 211 | ``` 212 | 213 | ## Usage 214 | 215 | NviWatch provides a command-line interface with several options: 216 | 217 | - `-w, --watch `: Set the refresh interval in milliseconds. Default is 1000 ms. 218 | - `-t, --tabbed-graphs`: Display GPU graphs in a tabbed view. 219 | - `-b, --bar-chart`: Display GPU graphs as bar charts. 220 | - `--influx-url `: InfluxDB server URL (e.g., "http://localhost:8086"). 221 | - `--influx-org `: InfluxDB organization name. 222 | - `--influx-bucket `: InfluxDB bucket name for storing metrics. 223 | - `--influx-token `: InfluxDB authentication token. 224 | 225 | **Basic examples**: 226 | ```bash 227 | # Run with default settings 228 | ./nviwatch 229 | 230 | # Run with custom refresh rate and tabbed graphs 231 | ./nviwatch --watch 500 --tabbed-graphs 232 | 233 | # Run with InfluxDB integration 234 | ./nviwatch \ 235 | --influx-url "http://localhost:8086" \ 236 | --influx-org "my-org" \ 237 | --influx-bucket "gpu-metrics" \ 238 | --influx-token "your-admin-token-here" 239 | 240 | # Run with all features enabled 241 | ./nviwatch \ 242 | --watch 1000 \ 243 | --tabbed-graphs \ 244 | --influx-url "http://localhost:8086" \ 245 | --influx-org "my-org" \ 246 | --influx-bucket "gpu-metrics" \ 247 | --influx-token "your-admin-token-here" 248 | ``` 249 | 250 | ## Key Bindings 251 | 252 | - **q**: Quit the application 253 | - **↑/↓**: Navigate through the list of processes 254 | - **←/→**: Switch between GPU tabs (when using tabbed graphs) 255 | - **x**: Terminate the selected process 256 | - **d**: Switch to default view mode 257 | - **t**: Switch to tabbed graphs view mode 258 | - **b**: Switch to bar charts view mode 259 | 260 | ## View Modes 261 | 262 | The application supports three different view modes: 263 | ### 1. Default Mode 264 | Shows all GPU information in a single view 265 | ![](assets/default_mode.png) 266 | 267 | ### 2. Bar Mode 268 | Presents GPU information using bar charts 269 | ![](assets/bar_mode.png) 270 | 271 | ### 3. Tabbed Mode: GPU graphs in tabs for multi GPU nodes 272 | Displays GPU graphs in a tabbed interface 273 | ![](assets/tabbed_mode.png) 274 | 275 | You can switch between these modes at any time using the corresponding key bindings. 276 | 277 | ## Star History 278 | 279 | [![Star History Chart](https://api.star-history.com/svg?repos=msminhas93/nviwatch&type=Date)](https://star-history.com/#msminhas93/nviwatch&Date) 280 | 281 | ## License 282 | 283 | This project is licensed under the GNU General Public License v3.0. See the [LICENSE](LICENSE) file for details. 284 | 285 | ## Contributing 286 | 287 | Contributions are welcome! Please open an issue or submit a pull request for any improvements or bug fixes. 288 | 289 | ## Acknowledgments 290 | 291 | - Built with [Rust](https://www.rust-lang.org/) and [Ratatui](https://github.com/ratatui/ratatui). 292 | - Utilizes the [NVIDIA Management Library (NVML)](https://developer.nvidia.com/nvidia-management-library-nvml) via the [nvml_wrapper crate](https://docs.rs/nvml-wrapper/latest/nvml_wrapper/). 293 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | GNU GENERAL PUBLIC LICENSE 2 | Version 3, 29 June 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU General Public License is a free, copyleft license for 11 | software and other kinds of works. 12 | 13 | The licenses for most software and other practical works are designed 14 | to take away your freedom to share and change the works. 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For 483 | purposes of this definition, "control" includes the right to grant 484 | patent sublicenses in a manner consistent with the requirements of 485 | this License. 486 | 487 | Each contributor grants you a non-exclusive, worldwide, royalty-free 488 | patent license under the contributor's essential patent claims, to 489 | make, use, sell, offer for sale, import and otherwise run, modify and 490 | propagate the contents of its contributor version. 491 | 492 | In the following three paragraphs, a "patent license" is any express 493 | agreement or commitment, however denominated, not to enforce a patent 494 | (such as an express permission to practice a patent or covenant not to 495 | sue for patent infringement). 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"Knowingly relying" means you have 508 | actual knowledge that, but for the patent license, your conveying the 509 | covered work in a country, or your recipient's use of the covered work 510 | in a country, would infringe one or more identifiable patents in that 511 | country that you have reason to believe are valid. 512 | 513 | If, pursuant to or in connection with a single transaction or 514 | arrangement, you convey, or propagate by procuring conveyance of, a 515 | covered work, and grant a patent license to some of the parties 516 | receiving the covered work authorizing them to use, propagate, modify 517 | or convey a specific copy of the covered work, then the patent license 518 | you grant is automatically extended to all recipients of the covered 519 | work and works based on it. 520 | 521 | A patent license is "discriminatory" if it does not include within 522 | the scope of its coverage, prohibits the exercise of, or is 523 | conditioned on the non-exercise of one or more of the rights that are 524 | specifically granted under this License. You may not convey a covered 525 | work if you are a party to an arrangement with a third party that is 526 | in the business of distributing software, under which you make payment 527 | to the third party based on the extent of your activity of conveying 528 | the work, and under which the third party grants, to any of the 529 | parties who would receive the covered work from you, a discriminatory 530 | patent license (a) in connection with copies of the covered work 531 | conveyed by you (or copies made from those copies), or (b) primarily 532 | for and in connection with specific products or compilations that 533 | contain the covered work, unless you entered into that arrangement, 534 | or that patent license was granted, prior to 28 March 2007. 535 | 536 | Nothing in this License shall be construed as excluding or limiting 537 | any implied license or other defenses to infringement that may 538 | otherwise be available to you under applicable patent law. 539 | 540 | 12. No Surrender of Others' Freedom. 541 | 542 | If conditions are imposed on you (whether by court order, agreement or 543 | otherwise) that contradict the conditions of this License, they do not 544 | excuse you from the conditions of this License. If you cannot convey a 545 | covered work so as to satisfy simultaneously your obligations under this 546 | License and any other pertinent obligations, then as a consequence you may 547 | not convey it at all. For example, if you agree to terms that obligate you 548 | to collect a royalty for further conveying from those to whom you convey 549 | the Program, the only way you could satisfy both those terms and this 550 | License would be to refrain entirely from conveying the Program. 551 | 552 | 13. Use with the GNU Affero General Public License. 553 | 554 | Notwithstanding any other provision of this License, you have 555 | permission to link or combine any covered work with a work licensed 556 | under version 3 of the GNU Affero General Public License into a single 557 | combined work, and to convey the resulting work. The terms of this 558 | License will continue to apply to the part which is the covered work, 559 | but the special requirements of the GNU Affero General Public License, 560 | section 13, concerning interaction through a network will apply to the 561 | combination as such. 562 | 563 | 14. Revised Versions of this License. 564 | 565 | The Free Software Foundation may publish revised and/or new versions of 566 | the GNU General Public License from time to time. Such new versions will 567 | be similar in spirit to the present version, but may differ in detail to 568 | address new problems or concerns. 569 | 570 | Each version is given a distinguishing version number. If the 571 | Program specifies that a certain numbered version of the GNU General 572 | Public License "or any later version" applies to it, you have the 573 | option of following the terms and conditions either of that numbered 574 | version or of any later version published by the Free Software 575 | Foundation. If the Program does not specify a version number of the 576 | GNU General Public License, you may choose any version ever published 577 | by the Free Software Foundation. 578 | 579 | If the Program specifies that a proxy can decide which future 580 | versions of the GNU General Public License can be used, that proxy's 581 | public statement of acceptance of a version permanently authorizes you 582 | to choose that version for the Program. 583 | 584 | Later license versions may give you additional or different 585 | permissions. However, no additional obligations are imposed on any 586 | author or copyright holder as a result of your choosing to follow a 587 | later version. 588 | 589 | 15. Disclaimer of Warranty. 590 | 591 | THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY 592 | APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT 593 | HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY 594 | OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, 595 | THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR 596 | PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM 597 | IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF 598 | ALL NECESSARY SERVICING, REPAIR OR CORRECTION. 599 | 600 | 16. Limitation of Liability. 601 | 602 | IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING 603 | WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS 604 | THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY 605 | GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE 606 | USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF 607 | DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD 608 | PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), 609 | EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF 610 | SUCH DAMAGES. 611 | 612 | 17. Interpretation of Sections 15 and 16. 613 | 614 | If the disclaimer of warranty and limitation of liability provided 615 | above cannot be given local legal effect according to their terms, 616 | reviewing courts shall apply local law that most closely approximates 617 | an absolute waiver of all civil liability in connection with the 618 | Program, unless a warranty or assumption of liability accompanies a 619 | copy of the Program in return for a fee. 620 | 621 | END OF TERMS AND CONDITIONS 622 | 623 | How to Apply These Terms to Your New Programs 624 | 625 | If you develop a new program, and you want it to be of the greatest 626 | possible use to the public, the best way to achieve this is to make it 627 | free software which everyone can redistribute and change under these terms. 628 | 629 | To do so, attach the following notices to the program. It is safest 630 | to attach them to the start of each source file to most effectively 631 | state the exclusion of warranty; and each file should have at least 632 | the "copyright" line and a pointer to where the full notice is found. 633 | 634 | 635 | Copyright (C) 636 | 637 | This program is free software: you can redistribute it and/or modify 638 | it under the terms of the GNU General Public License as published by 639 | the Free Software Foundation, either version 3 of the License, or 640 | (at your option) any later version. 641 | 642 | This program is distributed in the hope that it will be useful, 643 | but WITHOUT ANY WARRANTY; without even the implied warranty of 644 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 645 | GNU General Public License for more details. 646 | 647 | You should have received a copy of the GNU General Public License 648 | along with this program. If not, see . 649 | 650 | Also add information on how to contact you by electronic and paper mail. 651 | 652 | If the program does terminal interaction, make it output a short 653 | notice like this when it starts in an interactive mode: 654 | 655 | Copyright (C) 656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 657 | This is free software, and you are welcome to redistribute it 658 | under certain conditions; type `show c' for details. 659 | 660 | The hypothetical commands `show w' and `show c' should show the appropriate 661 | parts of the General Public License. Of course, your program's commands 662 | might be different; for a GUI interface, you would use an "about box". 663 | 664 | You should also get your employer (if you work as a programmer) or school, 665 | if any, to sign a "copyright disclaimer" for the program, if necessary. 666 | For more information on this, and how to apply and follow the GNU GPL, see 667 | . 668 | 669 | The GNU General Public License does not permit incorporating your program 670 | into proprietary programs. If your program is a subroutine library, you 671 | may consider it more useful to permit linking proprietary applications with 672 | the library. If this is what you want to do, use the GNU Lesser General 673 | Public License instead of this License. But first, please read 674 | . 675 | -------------------------------------------------------------------------------- /benchmarks/process_usage_1726165993.csv: -------------------------------------------------------------------------------- 1 | Timestamp,Process Name,CPU Usage (%),Memory Usage (%),Memory Usage (bytes) 2 | 2024-09-12 14:31:00,nvtop,0.0,0.12897016693719127,21450752 3 | 2024-09-12 14:31:00,nvtop,0.0,0.12897016693719127,21450752 4 | 2024-09-12 14:31:00,nvtop,0.0,0.12897016693719127,21450752 5 | 2024-09-12 14:31:00,nvtop,0.0,0.12897016693719127,21450752 6 | 2024-09-12 14:31:01,nvtop,0.0,0.12897016693719127,21450752 7 | 2024-09-12 14:31:01,nvtop,0.0,0.12897016693719127,21450752 8 | 2024-09-12 14:31:01,nvtop,0.0,0.12897016693719127,21450752 9 | 2024-09-12 14:31:01,nvtop,0.0,0.12897016693719127,21450752 10 | 2024-09-12 14:31:02,nvtop,0.0,0.12897016693719127,21450752 11 | 2024-09-12 14:31:02,nvtop,0.0,0.12897016693719127,21450752 12 | 2024-09-12 14:31:02,nvtop,0.0,0.12897016693719127,21450752 13 | 2024-09-12 14:31:02,nvtop,0.0,0.12897016693719127,21450752 14 | 2024-09-12 14:31:02,nvtop,0.0,0.12897016693719127,21450752 15 | 2024-09-12 14:31:03,nvtop,0.0,0.12897016693719127,21450752 16 | 2024-09-12 14:31:03,nvtop,0.0,0.12897016693719127,21450752 17 | 2024-09-12 14:31:03,nvtop,0.0,0.12897016693719127,21450752 18 | 2024-09-12 14:31:03,nvtop,0.0,0.12897016693719127,21450752 19 | 2024-09-12 14:31:04,nvtop,0.0,0.12897016693719127,21450752 20 | 2024-09-12 14:31:04,nvtop,0.0,0.12897016693719127,21450752 21 | 2024-09-12 14:31:04,nvtop,0.0,0.12897016693719127,21450752 22 | 2024-09-12 14:31:04,nvtop,0.0,0.12897016693719127,21450752 23 | 2024-09-12 14:31:04,nvtop,0.0,0.12897016693719127,21450752 24 | 2024-09-12 14:31:05,nvtop,0.0,0.12897016693719127,21450752 25 | 2024-09-12 14:31:05,nvtop,0.0,0.12897016693719127,21450752 26 | 2024-09-12 14:31:05,nvtop,0.0,0.12897016693719127,21450752 27 | 2024-09-12 14:31:05,nvtop,0.0,0.12897016693719127,21450752 28 | 2024-09-12 14:31:06,nvtop,0.0,0.12897016693719127,21450752 29 | 2024-09-12 14:31:06,nvtop,0.0,0.12897016693719127,21450752 30 | 2024-09-12 14:31:06,nvtop,0.0,0.12897016693719127,21450752 31 | 2024-09-12 14:31:06,nvtop,10.0,0.12897016693719127,21450752 32 | 2024-09-12 14:31:07,nvtop,0.0,0.12897016693719127,21450752 33 | 2024-09-12 14:31:07,nvtop,0.0,0.12897016693719127,21450752 34 | 2024-09-12 14:31:07,nvtop,0.0,0.12897016693719127,21450752 35 | 2024-09-12 14:31:07,nvtop,0.0,0.12897016693719127,21450752 36 | 2024-09-12 14:31:07,nvtop,0.0,0.12897016693719127,21450752 37 | 2024-09-12 14:31:08,nvtop,0.0,0.12897016693719127,21450752 38 | 2024-09-12 14:31:08,nvtop,0.0,0.12897016693719127,21450752 39 | 2024-09-12 14:31:08,nvtop,0.0,0.12897016693719127,21450752 40 | 2024-09-12 14:31:08,nvtop,0.0,0.12897016693719127,21450752 41 | 2024-09-12 14:31:09,nvtop,0.0,0.12897016693719127,21450752 42 | 2024-09-12 14:31:09,nvtop,0.0,0.12897016693719127,21450752 43 | 2024-09-12 14:31:09,nvtop,0.0,0.12897016693719127,21450752 44 | 2024-09-12 14:31:09,nvtop,0.0,0.12897016693719127,21450752 45 | 2024-09-12 14:31:09,nvtop,0.0,0.12897016693719127,21450752 46 | 2024-09-12 14:31:10,nvtop,0.0,0.12897016693719127,21450752 47 | 2024-09-12 14:31:10,nvtop,0.0,0.12897016693719127,21450752 48 | 2024-09-12 14:31:10,nvtop,0.0,0.12897016693719127,21450752 49 | 2024-09-12 14:31:10,nvtop,0.0,0.12897016693719127,21450752 50 | 2024-09-12 14:31:11,nvtop,0.0,0.12897016693719127,21450752 51 | 2024-09-12 14:31:11,nvtop,0.0,0.12897016693719127,21450752 52 | 2024-09-12 14:31:11,nvtop,0.0,0.12897016693719127,21450752 53 | 2024-09-12 14:31:11,nvtop,0.0,0.12897016693719127,21450752 54 | 2024-09-12 14:31:11,nvtop,0.0,0.12897016693719127,21450752 55 | 2024-09-12 14:31:12,nvtop,0.0,0.12897016693719127,21450752 56 | 2024-09-12 14:31:12,nvtop,0.0,0.12897016693719127,21450752 57 | 2024-09-12 14:31:12,nvtop,0.0,0.12897016693719127,21450752 58 | 2024-09-12 14:31:12,nvtop,0.0,0.12897016693719127,21450752 59 | 2024-09-12 14:31:13,nvtop,0.0,0.12897016693719127,21450752 60 | 2024-09-12 14:31:13,nvtop,0.0,0.12897016693719127,21450752 61 | 2024-09-12 14:31:13,nvtop,0.0,0.12897016693719127,21450752 62 | 2024-09-12 14:31:13,nvtop,0.0,0.12897016693719127,21450752 63 | 2024-09-12 14:31:13,nvtop,0.0,0.12897016693719127,21450752 64 | 2024-09-12 14:31:14,nvtop,0.0,0.12897016693719127,21450752 65 | 2024-09-12 14:31:14,nvtop,0.0,0.12897016693719127,21450752 66 | 2024-09-12 14:31:14,nvtop,0.0,0.12897016693719127,21450752 67 | 2024-09-12 14:31:14,nvtop,0.0,0.12897016693719127,21450752 68 | 2024-09-12 14:31:15,nvtop,0.0,0.12897016693719127,21450752 69 | 2024-09-12 14:31:15,nvtop,0.0,0.12897016693719127,21450752 70 | 2024-09-12 14:31:15,nvtop,0.0,0.12897016693719127,21450752 71 | 2024-09-12 14:31:15,nvtop,0.0,0.12897016693719127,21450752 72 | 2024-09-12 14:31:15,nvtop,0.0,0.12897016693719127,21450752 73 | 2024-09-12 14:31:16,nvtop,0.0,0.12897016693719127,21450752 74 | 2024-09-12 14:31:16,nvtop,0.0,0.12897016693719127,21450752 75 | 2024-09-12 14:31:16,nvtop,0.0,0.12897016693719127,21450752 76 | 2024-09-12 14:31:16,nvtop,0.0,0.12897016693719127,21450752 77 | 2024-09-12 14:31:17,nvtop,0.0,0.12897016693719127,21450752 78 | 2024-09-12 14:31:17,nvtop,0.0,0.12897016693719127,21450752 79 | 2024-09-12 14:31:17,nvtop,0.0,0.12897016693719127,21450752 80 | 2024-09-12 14:31:17,nvtop,0.0,0.12897016693719127,21450752 81 | 2024-09-12 14:31:17,nvtop,0.0,0.12897016693719127,21450752 82 | 2024-09-12 14:31:18,nvtop,0.0,0.12897016693719127,21450752 83 | 2024-09-12 14:31:18,nvtop,0.0,0.12897016693719127,21450752 84 | 2024-09-12 14:31:18,nvtop,0.0,0.12897016693719127,21450752 85 | 2024-09-12 14:31:18,nvtop,0.0,0.12897016693719127,21450752 86 | 2024-09-12 14:31:19,nvtop,0.0,0.12897016693719127,21450752 87 | 2024-09-12 14:31:19,nvtop,0.0,0.12897016693719127,21450752 88 | 2024-09-12 14:31:19,nvtop,0.0,0.12897016693719127,21450752 89 | 2024-09-12 14:31:19,nvtop,0.0,0.12897016693719127,21450752 90 | 2024-09-12 14:31:19,nvtop,0.0,0.12897016693719127,21450752 91 | 2024-09-12 14:31:20,nvtop,0.0,0.12897016693719127,21450752 92 | 2024-09-12 14:31:20,nvtop,0.0,0.12897016693719127,21450752 93 | 2024-09-12 14:31:20,nvtop,0.0,0.12897016693719127,21450752 94 | 2024-09-12 14:31:20,nvtop,0.0,0.12897016693719127,21450752 95 | 2024-09-12 14:31:21,nvtop,0.0,0.12897016693719127,21450752 96 | 2024-09-12 14:31:21,nvtop,0.0,0.12897016693719127,21450752 97 | 2024-09-12 14:31:21,nvtop,0.0,0.12897016693719127,21450752 98 | 2024-09-12 14:31:21,nvtop,0.0,0.12897016693719127,21450752 99 | 2024-09-12 14:31:21,nvtop,0.0,0.12897016693719127,21450752 100 | 2024-09-12 14:31:22,nvtop,0.0,0.12897016693719127,21450752 101 | 2024-09-12 14:31:22,nvtop,0.0,0.12897016693719127,21450752 102 | 2024-09-12 14:31:22,nvtop,0.0,0.12897016693719127,21450752 103 | 2024-09-12 14:31:22,nvtop,0.0,0.12897016693719127,21450752 104 | 2024-09-12 14:31:23,nvtop,0.0,0.12897016693719127,21450752 105 | 2024-09-12 14:31:23,nvtop,0.0,0.12897016693719127,21450752 106 | 2024-09-12 14:31:23,nvtop,0.0,0.12897016693719127,21450752 107 | 2024-09-12 14:31:23,nvtop,0.0,0.12897016693719127,21450752 108 | 2024-09-12 14:31:23,nvtop,0.0,0.12897016693719127,21450752 109 | 2024-09-12 14:31:24,nvtop,0.0,0.12897016693719127,21450752 110 | 2024-09-12 14:31:24,nvtop,0.0,0.12897016693719127,21450752 111 | 2024-09-12 14:31:24,nvtop,0.0,0.12897016693719127,21450752 112 | 2024-09-12 14:31:24,nvtop,0.0,0.12897016693719127,21450752 113 | 2024-09-12 14:31:25,nvtop,0.0,0.12897016693719127,21450752 114 | 2024-09-12 14:31:25,nvtop,0.0,0.12897016693719127,21450752 115 | 2024-09-12 14:31:25,nvtop,0.0,0.12897016693719127,21450752 116 | 2024-09-12 14:31:25,nvtop,0.0,0.12897016693719127,21450752 117 | 2024-09-12 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14:31:29,nvtop,0.0,0.12897016693719127,21450752 133 | 2024-09-12 14:31:29,nvtop,0.0,0.12897016693719127,21450752 134 | 2024-09-12 14:31:29,nvtop,0.0,0.12897016693719127,21450752 135 | 2024-09-12 14:31:29,nvtop,0.0,0.12897016693719127,21450752 136 | 2024-09-12 14:31:30,nvtop,0.0,0.12897016693719127,21450752 137 | 2024-09-12 14:31:30,nvtop,0.0,0.12897016693719127,21450752 138 | 2024-09-12 14:31:30,nvtop,0.0,0.12897016693719127,21450752 139 | 2024-09-12 14:31:30,nvtop,0.0,0.12897016693719127,21450752 140 | 2024-09-12 14:31:31,nvtop,0.0,0.12897016693719127,21450752 141 | 2024-09-12 14:31:31,nvtop,0.0,0.12897016693719127,21450752 142 | 2024-09-12 14:31:31,nvtop,0.0,0.12897016693719127,21450752 143 | 2024-09-12 14:31:31,nvtop,0.0,0.12897016693719127,21450752 144 | 2024-09-12 14:31:31,nvtop,0.0,0.12897016693719127,21450752 145 | 2024-09-12 14:31:32,nvtop,0.0,0.12897016693719127,21450752 146 | 2024-09-12 14:31:32,nvtop,0.0,0.12897016693719127,21450752 147 | 2024-09-12 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14:33:09,nvtop,0.0,0.12897016693719127,21450752 583 | 2024-09-12 14:33:09,nvtop,0.0,0.12897016693719127,21450752 584 | 2024-09-12 14:33:09,nvtop,0.0,0.12897016693719127,21450752 585 | 2024-09-12 14:33:10,nvtop,0.0,0.12897016693719127,21450752 586 | 2024-09-12 14:33:10,nvtop,0.0,0.12897016693719127,21450752 587 | 2024-09-12 14:33:10,nvtop,0.0,0.12897016693719127,21450752 588 | 2024-09-12 14:33:10,nvtop,0.0,0.12897016693719127,21450752 589 | 2024-09-12 14:33:10,nvtop,0.0,0.12897016693719127,21450752 590 | 2024-09-12 14:33:11,nvtop,0.0,0.12897016693719127,21450752 591 | 2024-09-12 14:33:11,nvtop,0.0,0.12897016693719127,21450752 592 | 2024-09-12 14:33:11,nvtop,0.0,0.12897016693719127,21450752 593 | 2024-09-12 14:33:11,nvtop,0.0,0.12897016693719127,21450752 594 | 2024-09-12 14:33:12,nvtop,0.0,0.12897016693719127,21450752 595 | 2024-09-12 14:33:12,nvtop,0.0,0.12897016693719127,21450752 596 | 2024-09-12 14:33:12,nvtop,0.0,0.12897016693719127,21450752 597 | 2024-09-12 14:33:12,nvtop,0.0,0.12897016693719127,21450752 598 | 2024-09-12 14:33:12,nvtop,0.0,0.12897016693719127,21450752 599 | 2024-09-12 14:33:13,nvtop,0.0,0.12897016693719127,21450752 600 | 2024-09-12 14:33:13,nvtop,0.0,0.12897016693719127,21450752 601 | 2024-09-12 14:33:13,nvtop,0.0,0.12897016693719127,21450752 602 | -------------------------------------------------------------------------------- /benchmarks/process_usage_1726162330.csv: -------------------------------------------------------------------------------- 1 | Timestamp,Process Name,CPU Usage (%),Memory Usage (%),Memory Usage (bytes) 2 | 2024-09-12 13:29:57,nvitop,0.0,0.2589500934338235,43069440 3 | 2024-09-12 13:29:57,nvitop,0.0,0.2589500934338235,43069440 4 | 2024-09-12 13:29:58,nvitop,0.0,0.2589500934338235,43069440 5 | 2024-09-12 13:29:58,nvitop,0.0,0.2589500934338235,43069440 6 | 2024-09-12 13:29:58,nvitop,0.0,0.2589500934338235,43069440 7 | 2024-09-12 13:29:58,nvitop,0.0,0.2589500934338235,43069440 8 | 2024-09-12 13:29:58,nvitop,0.0,0.2589500934338235,43069440 9 | 2024-09-12 13:29:59,nvitop,0.0,0.2589500934338235,43069440 10 | 2024-09-12 13:29:59,nvitop,0.0,0.2589500934338235,43069440 11 | 2024-09-12 13:29:59,nvitop,10.0,0.2589500934338235,43069440 12 | 2024-09-12 13:29:59,nvitop,0.0,0.2589500934338235,43069440 13 | 2024-09-12 13:30:00,nvitop,0.0,0.2589500934338235,43069440 14 | 2024-09-12 13:30:00,nvitop,0.0,0.2589500934338235,43069440 15 | 2024-09-12 13:30:00,nvitop,0.0,0.2589500934338235,43069440 16 | 2024-09-12 13:30:00,nvitop,0.0,0.2589500934338235,43069440 17 | 2024-09-12 13:30:00,nvitop,0.0,0.2589500934338235,43069440 18 | 2024-09-12 13:30:01,nvitop,0.0,0.2589500934338235,43069440 19 | 2024-09-12 13:30:01,nvitop,0.0,0.2589500934338235,43069440 20 | 2024-09-12 13:30:01,nvitop,0.0,0.2589500934338235,43069440 21 | 2024-09-12 13:30:01,nvitop,0.0,0.2589500934338235,43069440 22 | 2024-09-12 13:30:02,nvitop,0.0,0.2589500934338235,43069440 23 | 2024-09-12 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13:30:05,nvitop,0.0,0.2589500934338235,43069440 39 | 2024-09-12 13:30:05,nvitop,0.0,0.2589500934338235,43069440 40 | 2024-09-12 13:30:06,nvitop,0.0,0.2589500934338235,43069440 41 | 2024-09-12 13:30:06,nvitop,0.0,0.2589500934338235,43069440 42 | 2024-09-12 13:30:06,nvitop,0.0,0.2589500934338235,43069440 43 | 2024-09-12 13:30:06,nvitop,0.0,0.2589500934338235,43069440 44 | 2024-09-12 13:30:06,nvitop,0.0,0.2589500934338235,43069440 45 | 2024-09-12 13:30:07,nvitop,0.0,0.2589500934338235,43069440 46 | 2024-09-12 13:30:07,nvitop,0.0,0.2589500934338235,43069440 47 | 2024-09-12 13:30:07,nvitop,0.0,0.2589500934338235,43069440 48 | 2024-09-12 13:30:07,nvitop,0.0,0.2589500934338235,43069440 49 | 2024-09-12 13:30:08,nvitop,10.0,0.2589500934338235,43069440 50 | 2024-09-12 13:30:08,nvitop,0.0,0.2589500934338235,43069440 51 | 2024-09-12 13:30:08,nvitop,0.0,0.2589500934338235,43069440 52 | 2024-09-12 13:30:08,nvitop,0.0,0.2589500934338235,43069440 53 | 2024-09-12 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13:30:15,nvitop,0.0,0.2589500934338235,43069440 84 | 2024-09-12 13:30:15,nvitop,0.0,0.2589500934338235,43069440 85 | 2024-09-12 13:30:16,nvitop,0.0,0.2589500934338235,43069440 86 | 2024-09-12 13:30:16,nvitop,0.0,0.2589500934338235,43069440 87 | 2024-09-12 13:30:16,nvitop,0.0,0.2589500934338235,43069440 88 | 2024-09-12 13:30:16,nvitop,0.0,0.2589500934338235,43069440 89 | 2024-09-12 13:30:16,nvitop,0.0,0.2589500934338235,43069440 90 | 2024-09-12 13:30:17,nvitop,10.0,0.2589500934338235,43069440 91 | 2024-09-12 13:30:17,nvitop,0.0,0.2589500934338235,43069440 92 | 2024-09-12 13:30:17,nvitop,0.0,0.2589500934338235,43069440 93 | 2024-09-12 13:30:17,nvitop,0.0,0.2589500934338235,43069440 94 | 2024-09-12 13:30:18,nvitop,0.0,0.2589500934338235,43069440 95 | 2024-09-12 13:30:18,nvitop,0.0,0.2589500934338235,43069440 96 | 2024-09-12 13:30:18,nvitop,0.0,0.2589500934338235,43069440 97 | 2024-09-12 13:30:18,nvitop,0.0,0.2589500934338235,43069440 98 | 2024-09-12 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