[ Skip to the content ]

Institute of Formal and Applied Linguistics Wiki

[ Back to the navigation ]

You are here: start » gpu

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision 		Previous revision
Next revision Both sides next revision
gpu [2017/05/04 10:37]
kocmanek [Using cluster] 		gpu [2017/05/16 10:48]
kocmanek [Performance tests]
Line 5: Line 5:
 ===== Servers with GPU units ===== ===== Servers with GPU units =====
  
-| machine | GPU; [[https://en.wikipedia.org/wiki/CUDA#Supported_GPUs|Capability]] [cc]  | cores | GPU RAM | Comment |+| machine    | GPU; [[https://en.wikipedia.org/wiki/CUDA#Supported_GPUs|Capability]] [cc]  | cores | GPU RAM | Comment | 
 +| titan      | GeForce GTX 1080 Ti; cc6.1 | 1 | 12 GB |        |
 | titan-gpu  | GeForce GTX Titan Z; cc3.5 | 2 | 6 GB each core |        | | titan-gpu  | GeForce GTX Titan Z; cc3.5 | 2 | 6 GB each core |        |
 | twister1   | Tesla K40c; cc3.5          | 1 | 12 GB          |        | | twister1   | Tesla K40c; cc3.5          | 1 | 12 GB          |        |
Line 12: Line 13:
 | iridium    | Quadro K2000; cc3.0        | 1 | 2 GB           |        | | iridium    | Quadro K2000; cc3.0        | 1 | 2 GB           |        |
 | victoria   | GeForce GT 630; cc3.0      | 1 | 2 GB           | Ondrej Bojar's desktop machine | | victoria   | GeForce GT 630; cc3.0      | 1 | 2 GB           | Ondrej Bojar's desktop machine |
-| arc        | GeForce GT 630; cc3.0      | 1 | 2 GB           | Ales's desktop machine |+| arc        | GeForce GT 630; cc3.0      | 1 | 2 GB           | Lucka's desktop machine |
 | athena     | GeForce GTX 1080; cc6.1    | 1 | 8 GB           | Tom's desktop machine | | athena     | GeForce GTX 1080; cc6.1    | 1 | 8 GB           | Tom's desktop machine |
-| dll1     | GeForce GTX 1080; cc6.1    | 8 | 8 GB each core |  | +| dll1       | GeForce GTX 1080; cc6.1    | 8 | 8 GB each core |  | 
-| dll2     | GeForce GTX 1080; cc6.1    | 8 | 8 GB each core |  |+| dll2       | GeForce GTX 1080; cc6.1    | 8 | 8 GB each core |  |
  
 not used at the moment: GeForce GTX 570 (from twister2) not used at the moment: GeForce GTX 570 (from twister2)
Line 111: Line 112:
 * [[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)+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.
  
 | 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       | (2 GPU) GeForce GTX 1080; cc6.1    |   10:19:40 | with CUDA_VISIBLE_DEVICES=0 |
 +| titan      | GeForce GTX 1080 Ti                |   11:41:08 |  |
 | 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       | (2 GPU) GeForce GTX 1080; cc6.1    |   13:01:05 | Only one GPU was used |

[ Back to the navigation ] [ Back to the content ]