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gpu [2017/07/19 16:18]
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popel nicer table, delete outdated future plans, note on disk space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  11 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; twister2; kronos | Tesla K40c; cc3.5           | 12 GB           +| twister1; twister2; kronos | Tesla K40c          |  cc3.  1|  12 GB |  | 
-| iridium                    | Quadro K2000; cc3.0        | 1  GB            |  | +dll1dll2                 | GeForce GTX 1080    |  cc6.1 |   8  8 GB |  
-victoriaarc              | GeForce GT 630; cc3.0       | 2 GB            | desktop machine | +titan                      | GeForce GTX 1080 Ti |  cc6.1 |   1|  11 GB |  | 
-| athena                     | GeForce GTX 1080; cc6.1    1  | 8 GB            Tom's desktop machine +| dll3; dll4; dll5           | GeForce GTX 1080 Ti |  cc6.1 |  10|  11 GB | dll3 has only 9 GPUs since 2017/07 |
-dll1; dll2                 | GeForce GTX 1080cc6.1    8  8 GB each core  +
-| dll3; dll4; dll5           | GeForce GTX 1080 Ticc6.1 | 10 | 11 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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