├── .gitattributes ├── LICENSE ├── README.md ├── analysis ├── LICENSE-CODE └── Philly Trace Analysis.ipynb └── trace-data.tar.gz /.gitattributes: -------------------------------------------------------------------------------- 1 | trace-data.tar.gz filter=lfs diff=lfs merge=lfs -text 2 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | Attribution 4.0 International 2 | 3 | ======================================================================= 4 | 5 | Creative Commons Corporation ("Creative Commons") is not a law firm and 6 | does not provide legal services or legal advice. Distribution of 7 | Creative Commons public licenses does not create a lawyer-client or 8 | other relationship. Creative Commons makes its licenses and related 9 | information available on an "as-is" basis. 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For 392 | the avoidance of doubt, this paragraph does not form part of the 393 | public licenses. 394 | 395 | Creative Commons may be contacted at creativecommons.org. -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | ## Overview 2 | 3 | This repository contains a representative subset of the first-party DNN training workloads on Microsoft's internal Philly clusters. The trace is a sanitized subset of the workload described in ["Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads"](https://arxiv.org/abs/1901.05758) in ATC’19. This work was done as part of Microsoft Research's [Project Fiddle](https://aka.ms/msr-fiddle). 4 | 5 | We include in this repository a [jupyter notebook](https://github.com/msr-fiddle/philly-traces/blob/master/analysis/Philly%20Trace%20Analysis.ipynb) that highlights the main characteristics of the traces and shows how to parse them (a huge thank you to [Keshav Santhanam](https://github.com/santhnm2) for putting this together). 6 | 7 | We provide the trace as is. If you do use this trace in your research, please make sure to cite our ATC’19 paper (mentioned above). 8 | 9 | ## Trace Details 10 | 11 | ### Main characteristics: 12 | * **Dataset size**: 6.6 GB 13 | * **Compressed dataset size**: 0.98 GB 14 | * **Number of files**: 5 files 15 | * **Duration**: Jobs submitted between 2017-08-07 - 2017-12-22 16 | * **Total number of jobs**: 117325 17 | 18 | ### Schema: 19 | #### `cluster_job_log` 20 | 21 | **Description**: Contains information about each job, including each individual 22 | successful scheduling attempt. 23 | 24 | **Format**: JSON 25 | 26 | **Example entry**: 27 | 28 | ``` 29 | { 30 | "status": "Pass", 31 | "vc": "ee9e8c", 32 | "jobid": "application_1506638472019_14199", 33 | "attempts": [ 34 | { 35 | "start_time": "2017-10-07 01:12:09", 36 | "end_time": "2017-10-07 01:13:23", 37 | "detail": [ 38 | { 39 | "ip": "m47", 40 | "gpus": [ 41 | "gpu0", 42 | "gpu1", 43 | "gpu2", 44 | "gpu3", 45 | "gpu4", 46 | "gpu5", 47 | "gpu6", 48 | "gpu7" 49 | ] 50 | } 51 | ] 52 | }, 53 | { 54 | "start_time": "2017-10-07 01:13:30", 55 | "end_time": "2017-10-09 06:53:12", 56 | "detail": [ 57 | { 58 | "ip": "m412", 59 | "gpus": [ 60 | "gpu0", 61 | "gpu1", 62 | "gpu2", 63 | "gpu3", 64 | "gpu4", 65 | "gpu5", 66 | "gpu6", 67 | "gpu7" 68 | ] 69 | } 70 | ] 71 | } 72 | ], 73 | "submitted_time": "2017-10-07 01:11:39", 74 | "user": "ce2f4c" 75 | } 76 | ``` 77 | 78 | **List of keys**: 79 | * `status`: The job's status upon completion. One of `Pass`, `Killed`, or `Failed`. 80 | * `vc`: The hash of the virtual cluster the job was run in. 81 | * `jobid`: The id of the job. 82 | * `attempts`: A list of `dict`s where each `dict` has the following keys: 83 | * `start_time`: The start time of the attempt. 84 | * `end_time`: The end time of the attempt. 85 | * `detail`: A list of `dict`s where each `dict` has the following keys: 86 | * `ip`: The id of the server the attempt was scheduled on. 87 | * `gpus`: A list of GPUs used by the attempt. 88 | * `submitted_time`: The time the job was submitted to the scheduler. 89 | * `user`: A hash of the user id. 90 | 91 | **Notes**: 92 | * A job may have no recorded scheduling attempts. 93 | * A scheduling attempt may have no recorded `start_time` and/or `end_time` - 94 | this could be the result of a logging error. 95 | * If a job has a `None` value for its last attempt's `end_time`, the job was 96 | still running at the time the snapshot was taken. 97 | 98 | --- 99 | 100 | #### `cluster_gpu_util` 101 | 102 | **Description**: Provides a per-minute record of each GPU's utilization as 103 | reported by `nvidia-smi`. 104 | 105 | **Format**: CSV 106 | 107 | **Columns**: 108 | 109 | | time | machineId | gpu0_util | gpu1_util | gpu2_util | gpu3_util | gpu4_util | gpu5_util | gpu6_util | gpu7_util | 110 | |------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------|-----------| 111 | 112 | **Example entry**: 113 | 114 | ``` 115 | 2017-10-03 00:08:00 PDT,m29,60.8,99.366666667,100.0,63.333333333,100.0,100.0,100.0,100.0, 116 | ``` 117 | 118 | **Notes**: 119 | * Some `gpu*_util` values may be `"NA"`, indicating the GPU was offline at the 120 | time of measurement. 121 | 122 | --- 123 | 124 | #### `cluster_cpu_util` 125 | 126 | **Description**: Provides a per-minute record of each server's CPU utilization. 127 | 128 | **Format**: CSV 129 | 130 | **Columns**: 131 | 132 | | time | machine_id | cpu_util | 133 | |------|------------|----------| 134 | 135 | **Example entry**: 136 | 137 | ``` 138 | 2017-11-27 00:04:00 PST,m29,31.845 139 | ``` 140 | 141 | **Notes**: 142 | * Some `cpu_util` values may be `"NA"`, indicating the server was 143 | offline at the time of measurement. 144 | 145 | --- 146 | 147 | #### `cluster_mem_util` 148 | 149 | **Description**: Provides a per-minute record of each server's memory 150 | utilization. 151 | 152 | **Format**: CSV 153 | 154 | **Columns**: 155 | 156 | | time | machine_id | mem_total | mem_free | 157 | |------|------------|-----------|----------| 158 | 159 | **Example entry**: 160 | 161 | ``` 162 | 2017-10-03 00:06:00 PDT,m29,528272672.0,2030730.6667 163 | ``` 164 | 165 | **Notes**: 166 | * Some `mem_total` and `mem_free` values may be `"NA"`, indicating the server 167 | was offline at the time of measurement. 168 | 169 | --- 170 | 171 | #### `cluster_machine_list` 172 | 173 | **Description**: Lists the number of GPUs and per-GPU memory available on each 174 | server in the cluster. 175 | 176 | **Format**: CSV 177 | 178 | **Columns**: 179 | 180 | | machineId | number of GPUs | single GPU mem | 181 | |-----------|----------------|----------------| 182 | 183 | **Example entry**: 184 | ``` 185 | m31,8, 24GB 186 | ``` 187 | -------------------------------------------------------------------------------- /analysis/LICENSE-CODE: -------------------------------------------------------------------------------- 1 | The MIT License (MIT) 2 | Copyright (c) Microsoft Corporation 3 | 4 | Permission is hereby granted, free of charge, to any person obtaining a copy of this software and 5 | associated documentation files (the "Software"), to deal in the Software without restriction, 6 | including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, 7 | and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, 8 | subject to the following conditions: 9 | 10 | The above copyright notice and this permission notice shall be included in all copies or substantial 11 | portions of the Software. 12 | 13 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT 14 | NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. 15 | IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, 16 | WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE 17 | SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. -------------------------------------------------------------------------------- /trace-data.tar.gz: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:2037ccf63a725a02be718b0e1aeee6142c90b7f62d0d849295120e9f6ba13d2c 3 | size 1055988361 4 | --------------------------------------------------------------------------------