How to Burn Multi-GPUs using CUDA stress test memo (2017/05/20) SAKURA Internet, Inc. / SAKURA Internet Research Center. Senior Researcher / Naoto MATSUMOTO

1. How to Burn Multi-GPUs
using CUDA stress test
memo
(2017/05/20)
2017/05/20 SAKURA Internet, Inc. Research Center. SR / Naoto MATSUMOTO
(C) Copyright 1996-2017 SAKURA Internet Inc

2. Multi-GPUs CUDA Stress Test on CentOS7.3
2
# uname -sr; cat /etc/redhat-release
Linux 3.10.0-514.16.1.el7.x86_64
CentOS Linux release 7.3.1611 (Core)
# grep proc /proc/cpuinfo | wc -l
12
# yum groupinstall "Development Tools" -y
# yum install epel-release -y
# yum install mesa-libGLU.x86_64 mesa-libGLU-devel.x86_64 freeglut-devel -y
# wget https://developer.nvidia.com/compute/cuda/8.0/Prod2/local_installers/cuda_8.0.61_375.26_linux-run
# bash ./cuda_8.0.61_375.26_linux-run
# cd /usr/lib64; ln -sfn libGL.so.1 libGL.so
# wget http://wili.cc/blog/entries/gpu-burn/gpu_burn-0.7.tar.gz
# tar xzvf ./gpu_burn-0.7.tar.gz
# vi Makefile
NVCC=/usr/local/cuda/bin/nvcc
# make
# ./gpu_burn 100
GPU 0: Tesla K80 (UUID: GPU-45ee2619-60c8-d519-8fe3-ef2747abef4b)
GPU 1: Tesla K80 (UUID: GPU-421a091f-7faf-6764-44ce-168be00d5c83)
Initialized device 0 with 11439 MB of memory (11359 MB available, using 10223 MB of it), using FLOATS
Initialized device 1 with 11439 MB of memory (11359 MB available, using 10223 MB of it), using FLOATS
100.0% proc'd: 12720 (2102 Gflop/s) - 13356 (2283 Gflop/s) errors: 0 - 0 temps: 72 C - 57 C

3. Multi-GPUs CUDA Stress Test on CentOS7.3
3
# watch -n 1 nvidia-smi
Every 1.0s: nvidia-smi Sat May 20 07:16:10 2017
Sat May 20 07:16:11 2017
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 375.26 Driver Version: 375.26 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 Tesla K80 Off | A11D:00:00.0 Off | 0 |
| N/A 81C P0 132W / 149W | 10290MiB / 11439MiB | 100% Default |
+-------------------------------+----------------------+----------------------+
| 1 Tesla K80 Off | ACF7:00:00.0 Off | 0 |
| N/A 60C P0 141W / 149W | 10290MiB / 11439MiB | 100% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 12039 C ./gpu_burn 10286MiB |
| 1 12037 C ./gpu_burn 10286MiB |
+-----------------------------------------------------------------------------+