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gpu [2017/05/16 10:48]
kocmanek [Performance tests]
gpu [2017/07/28 22:31]
popel nicer table, delete outdated future plans, note on disk space
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 ===== Servers with GPU units ===== ===== Servers with GPU units =====
 +GPU cluster ''gpu.q'' at Malá Strana:
  
-| machine    | GPU[[https://en.wikipedia.org/wiki/CUDA#Supported_GPUs|Capability]] [cc]  cores | GPU RAM | Comment | +| machine                    | GPU type | [[https://en.wikipedia.org/wiki/CUDA#GPUs_supported|cc]] | GPUs | GPU RAM | Comment | 
-titan      GeForce GTX 1080 Ti; cc6.| 1 | 12 GB |        +iridium                    Quadro K2000        |  cc3.  1|   2 GB |  
-| titan-gpu  | GeForce GTX Titan Zcc3.5 | 2 | 6 GB each core        +| titan-gpu                  | GeForce GTX Titan Z |  cc3.5 |   2|   6 GB |  
-| twister1   | Tesla K40ccc3.5          | 1 | 12 GB          |        | +| twister1; twister2; kronos | Tesla K40c          |  cc3.|   1|  12 GB |  
-twister2   | Tesla K40ccc3.5          | 1 | 12 GB          |        | +dll1dll2                 | GeForce GTX 1080    |  cc6.1 |   8  8 GB |  
-kronos-dev | Tesla K40c; cc3.5          1 | 12 GB          |        | +titan                      | GeForce GTX 1080 Ti |  cc6.1 |   1 11 GB |  | 
-| iridium    | Quadro K2000; cc3.0        | 1 | 2 GB                  | +dll3; dll4; dll5           | GeForce GTX 1080 Ti |  cc6.1 |  10 11 GB | dll3 has only 9 GPUs since 2017/07 |
-victoria   | GeForce GT 630; cc3.0      | 1 | GB           Ondrej Bojar's desktop machine +
-arc        | GeForce GT 630cc3.0      | 1 | 2 GB           | Lucka's desktop machine | +
-| athena     | GeForce GTX 1080cc6.1    | 8 GB           Tom's desktop machine +
-dll1       | GeForce GTX 1080cc6.1    GB each core |  | +
-dll2       | GeForce GTX 1080cc6.1    GB each core  |+
  
-not used at the momentGeForce GTX 570 (from twister2) +Desktop machines
-All machines have CUDA8.0 and should support both Theano and TensorFlow.+| machine                    | GPU type | [[https://en.wikipedia.org/wiki/CUDA#GPUs_supported|cc]] | GPUs | GPU RAM | Comment | 
 +| victoria; arc              | GeForce GT 630   | cc3.0 |  1 |  2 GB | desktop machine | 
 +| athena                     | GeForce GTX 1080 | cc6.1 |  1 |  8 GB | Tom's desktop machine |
  
-Summary of future plans: +Not used at the moment: GeForce GTX 570 (from twister2
-  * Current Troja servers won't get any GPUs (the only option would be [[http://www.czc.cz/hp-quadro-k1200-4gb/171662/produkt?ppcbee-adtext-variant=Produkt%3B+kategorie+%2B+cena%3B+Pobo%C4%8Dky&gclid=CKbKkbrWrswCFQUq0wodHDELCw|Quadro K1200 4GB]], horribly cost-inefficient) +All machines have CUDA8.0 and should support both Theano and TensorFlow.
-  * The old Quadro K2000 we have is a much more low end piece, so we can't test is in Troja. +
-  * There is MetaCentrum which also has GPUs, so testing can be done there. +
-  * It is impossible (wasteful in terms of space and forbidden by a dean regulation) to put non-rack machines to our servers rooms. So we won't be buying GeForce GTX 1080 (~20000CZK, out of stock now), for a non-rack machine since we most likely don't have any available. +
-  * Yes, there are grant applications under review which include rack machines with GPUs, e.g. 5x2 or something like that; more will be known in 2017.+
  
 +=== Disk space ===
 +All the GPU machines are at Malá Strana (not at Troja), so you should not use ''/lnet/tspec/work/'', but you should use:
 +- ''/lnet/spec/work/'' (alias ''/net/work/'') - Lustre disk space at Malá Strana
 +- ''/net/cluster/TMP'' - NFS hard disk for temporary files, so slower than Lustre for most tasks
 +- ''/net/cluster/SSD'' - also NFS, but faster then TMP because of SSD
  
 === Individual acquisitions: NVIDIA Academic Hardware Grants == === Individual acquisitions: NVIDIA Academic Hardware Grants ==
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   * Ondřej Plátek - granted (2015)   * Ondřej Plátek - granted (2015)
   * Jan Hajič jr. - granted (early 2016)   * Jan Hajič jr. - granted (early 2016)
-  * Jindra Helcl - planning to apply (fall 2016) 
  
  
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 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. 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.
  
-  qrsh -q gpu.q -l gpu=1 -pty yes bash+  qrsh -q gpu.q -l gpu=1,gpu_ram=2G -pty yes bash
      
 For running experiments you must use qsub command: For running experiments you must use qsub command:
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 * [[http://www.trustedreviews.com/nvidia-geforce-gtx-1080-review-performance-benchmarks-and-conclusion-page-2| 980 vs 1080 vs Titan X (not the Titan Z we have)]] * [[http://www.trustedreviews.com/nvidia-geforce-gtx-1080-review-performance-benchmarks-and-conclusion-page-2| 980 vs 1080 vs Titan X (not the Titan Z we have)]]
  
-In the following table is the experiment conducted by Tom Kocmi. You can replicate experiment: /a/merkur3/kocmanek/Projects/GPUBenchmark (you will need to prepare environment of TensorFlow11 or use my ANACONDA). The benchmark uses 2GB model.+In the following table is the experiment conducted by Tom Kocmi. You can replicate experiment: /a/merkur3/kocmanek/Projects/GPUBenchmark (you will need to prepare environment of TensorFlow11 or use my ANACONDA). The benchmark uses 2GB model of seq2seq machine translation in Neural Monkey (De > EN). If not specified, the benchmark had an access only to one GPU.
  
 | machine | Setup; CPU/GPU; [[https://en.wikipedia.org/wiki/CUDA#Supported_GPUs|Capability]] [cc] | Walltime | Note | | machine | Setup; CPU/GPU; [[https://en.wikipedia.org/wiki/CUDA#Supported_GPUs|Capability]] [cc] | Walltime | Note |
 | athena     | GeForce GTX 1080; cc6.1            |    9:55:58 | Tom's desktop  | | athena     | GeForce GTX 1080; cc6.1            |    9:55:58 | Tom's desktop  |
-| dll2       (2 GPU) GeForce GTX 1080; cc6.1    |   10:19:40 | with CUDA_VISIBLE_DEVICES=0 +| dll2       | GeForce GTX 1080; cc6.1            |   10:19:40 |  
-| titan      | GeForce GTX 1080 Ti                |   11:41:08  |+| titan      | GeForce GTX 1080 Ti                |   10:45:11 (new result with correct CUDA version) |
 | dll1       | (2 GPU) GeForce GTX 1080; cc6.1    |   12:34:34 | Probably only one GPU was used | | dll1       | (2 GPU) GeForce GTX 1080; cc6.1    |   12:34:34 | Probably only one GPU was used |
-| dll2       (2 GPU) GeForce GTX 1080; cc6.1    |   13:01:05 | Only one GPU was used |+| dll2       | GeForce GTX 1080; cc6.1            |   13:01:05 | Only one GPU was used |
 | titan-gpu  | (2 GPU) GeForce GTX Titan Z; cc3.5 |   16:05:24 | Probably only one GPU was used | | titan-gpu  | (2 GPU) GeForce GTX Titan Z; cc3.5 |   16:05:24 | Probably only one GPU was used |
 | kronos-dev | Tesla K40c; cc3.5                  |   22:41:01 |  | | kronos-dev | Tesla K40c; cc3.5                  |   22:41:01 |  |
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 | arc        | GeForce GT 630; cc3.0              |  103:42:30 | (approximated after 66 hours) | | arc        | GeForce GT 630; cc3.0              |  103:42:30 | (approximated after 66 hours) |
 | lucifer4   | 8x cores CPU                        134:41:22 |  | | lucifer4   | 8x cores CPU                        134:41:22 |  |
-| victoria   | GeForce GT 630; cc3.0              |        --- | never run, same GPU as Arc | 
  
  
 +=== Second Benchmark ===
 +
 +The previous benchmark only compares the speed of processing units within the GPUs and do not take into account the size of memory. Therefore I have conducted another benchmark, this time for each graphic card I have increased the batch size as much as possible so the model still could fit into the GPU (the previous benchmark model had batch size 20). This way the results should be more representative of the power for each GPU.
 +
 +| GPU; Cuda capability       | GPU RAM |  Walltime | Batch size | Machine |
 +| Tesla K40c; cc3.5          |   12 GB |                  |  |
 +| GeForce GTX 1080 Ti; cc6.1 |   11 GB |  00:55:56 |       2300 | dll5 |
 +| GeForce GTX 1080; cc6.1    |    8 GB |  01:10:57 |       1700 | dll1 |
 +| GeForce GTX Titan Z; cc3.5 |    6 GB |  02:20:47 |       1100 | titan-gpu |
 +| Quadro K2000; cc3.0        |    2 GB |  28:15:26 |         50 | iridium |
  
 ===== Links ===== ===== Links =====

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