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gpu [2017/03/16 16:45] kocmanek |
gpu [2017/06/26 16:50] kocmanek [Using cluster] |
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===== Servers with GPU units ===== | ===== Servers with GPU units ===== | ||
- | | machine | GPU; [[https:// | + | | machine |
- | | titan-gpu | + | | titan | GeForce GTX 1080 Ti; cc6.1 | 1 | 12 GB | | |
- | | twister1 | + | | titan-gpu |
- | | twister2 | + | | twister1; twister2; |
- | | kronos-dev | Tesla K40c; cc3.5 | 1 | 12 GB | | | + | | iridium |
- | | iridium | + | | victoria; arc | GeForce GT 630; cc3.0 | 1 | 2 GB | desktop machine | |
- | | victoria | + | | athena |
- | | arc | GeForce GT 630; cc3.0 | 1 | 2 GB | + | | dll1; dll2 |
- | | athena | + | |
- | | dll1 | GeForce GTX 1080; cc6.1 | 8 | 8 GB each core | | | + | |
- | | dll2 | + | |
not used at the moment: GeForce GTX 570 (from twister2) | not used at the moment: GeForce GTX 570 (from twister2) | ||
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| | ||
- | ===== Performance tests ===== | + | ===== How to use cluster |
- | * [[http:// | + | In this section will be explained how to use cluster properly. |
+ | ==== TensorFlow Environment ==== | ||
- | In the following table is the experiment conducted by Tom Kocmi. You can replicate experiment: / | + | Majority people at UFAL use TensorFlow. To start using it you need to create python virtual |
- | | machine | Setup; CPU/GPU; [[https:// | + | pip install tensorflow |
- | | athena | + | |
- | | dll2 | (2 GPU) GeForce GTX 1080; cc6.1 | | + | |
- | | dll1 | (2 GPU) GeForce GTX 1080; cc6.1 | | + | You can use prepared environment by adding into your ~/.bashrc |
- | | dll2 | (2 GPU) GeForce GTX 1080; cc6.1 | | + | |
- | | titan-gpu | (2 GPU) GeForce GTX Titan Z; cc3.5 | | + | |
- | | kronos-dev | Tesla K40c; cc3.5 | | + | |
- | | twister2 | + | |
- | | twister1 | + | |
- | | helena1 | + | |
- | | belzebub | + | |
- | | iridium | + | |
- | | helena7 | + | |
- | | arc | GeForce GT 630; cc3.0 | 103:42:30 | (approximated after 66 hours) | | + | |
- | | lucifer4 | + | |
- | | victoria | + | |
+ | export PATH=/ | ||
- | ===== Installed toolkits ===== | + | And then you can activate your environment: |
- | //This should mention where each interesting toolkit lives (on a particular machine).// | + | source activate tf1 |
+ | source activate tf1cpu | ||
- | ==== TensorFlow | + | This environment have TensorFlow |
- | [[https:// | + | ==== Using cluster ==== |
- | OP: I created [[https:// | + | Rule number one, always use the GPU queue (never log in machine by ssh). Always use qsub or qsubmit with proper arguments. |
- | === Select | + | For testing and using the cluster interactively you can use qrsh (this should not be used for long running experiments since the console is not closed on the end of the experiment). Following command will assign you a GPU and creates interactive console. |
- | Use variable CUDA_VISIBLE_DEVICES to constrain tensorflow to compute only on the selected one. For the use of first GPU use: | + | qrsh -q gpu.q -l gpu=1, |
- | < | + | |
+ | For running experiments you must use qsub command: | ||
- | To list available devices, use: | + | qsub -q gpu.q -l gpu=1,gpu_cc_min3.5=1, |
- | < | + | |
+ | Cleaner way to use cluster is with /home/bojar/tools/shell/qsubmit | ||
- | ===== Basic commands | + | qsubmit --gpumem=2G --queue=" |
+ | |||
+ | It is recommended to use priority -100 if you are not rushing for the results and don't need to leap over your colleagues jobs. | ||
+ | ==== Basic commands ==== | ||
lspci | lspci | ||
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/ | / | ||
# shows CUDA capability etc. | # shows CUDA capability etc. | ||
+ | | ||
+ | === Select GPU device === | ||
+ | |||
+ | Use variable CUDA_VISIBLE_DEVICES to constrain tensorflow to compute only on the selected one. For the use of first GPU use (GPU queue do this for you): | ||
+ | export CUDA_VISIBLE_DEVICES=0 | ||
+ | |||
+ | To list available devices, use: | ||
+ | / | ||
+ | |||
+ | ===== Performance tests ===== | ||
+ | |||
+ | * [[http:// | ||
+ | |||
+ | In the following table is the experiment conducted by Tom Kocmi. You can replicate experiment: / | ||
+ | |||
+ | | machine | Setup; CPU/GPU; [[https:// | ||
+ | | athena | ||
+ | | dll2 | (2 GPU) GeForce GTX 1080; cc6.1 | | ||
+ | | titan | GeForce GTX 1080 Ti | | ||
+ | | dll1 | (2 GPU) GeForce GTX 1080; cc6.1 | | ||
+ | | dll2 | (2 GPU) GeForce GTX 1080; cc6.1 | | ||
+ | | titan-gpu | ||
+ | | kronos-dev | Tesla K40c; cc3.5 | | ||
+ | | twister2 | ||
+ | | twister1 | ||
+ | | helena1 | ||
+ | | belzebub | ||
+ | | iridium | ||
+ | | helena7 | ||
+ | | arc | GeForce GT 630; cc3.0 | 103:42:30 | (approximated after 66 hours) | | ||
+ | | lucifer4 | ||
+ | | victoria | ||
+ | |||
+ | |||
===== Links ===== | ===== Links ===== |