Admin: /* About GPUs at T2B */

2024-01-26T10:29:10Z

About GPUs at T2B

← Older revision		Revision as of 10:29, 26 January 2024
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	== About GPUs at T2B ==		== About GPUs at T2B ==

	We do not have any GPUs at T2B. ~~That does not mean you do not~~ have access to ~~some~~.		We do not have any GPUs at T2B. But all members of a Belgian university have access to a GPU through their university cluster as discussed below.

Admin at 09:22, 28 February 2023

2023-02-28T09:22:53Z

@@ Line 1: / Line 1: @@
-[[File:Exclamation-mark.jpg|left|25px|line=1|]] This section is experimental, feel free to improve and send us comments or questions !
 <br>
-=== Queues ===
+=== If you belong to a wallonian university (ULB, UCL) ===
-We have 3 queues:
+----
-* '''gpu2''': has the 1 node with the 2 GPUs
-* '''gpu6''': has the 2 nodes with the 6 GPUs each, so 12 GPUs in total
+<br>You have access to all CECI clusters, with quite some choice in GPUs.
-* '''gpu''': has all 3 nodes
+Have a look at all CECI clusters available and their hardware on [https://www.ceci-hpc.be/clusters.html this page].<br>
-<br>
+==== Access GRID ressources ====
-Inside your jobs, you need to export the number of available GPUs to your environment.
+At this time, there is no /cvmfs access, therefore no access to /pnfs resources.<br>
-A small script has been written to do so, so just add it in your qsub scrip:
+You would have to use rsync to transfer files to/from T2B if needed.
-Then just send as usual your job using one of the GPU queues:
+==== Support and Feedback ====
- qsub -q gpu myscript.sh
+As we do not manage any of the clusters, prefer contacting their support, adding us in CC if you want.

ROMAIN ROUGNY rrougny@vub.ac.be: Created page with "line=1| This section is experimental, feel free to improve and send us comments or questions !
=== Description of the hardware ==..."

2018-10-02T12:56:50Z

Created page with "left|25px|line=1| This section is experimental, feel free to improve and send us comments or questions ! === Description of the hardware ==..."

New page

[[File:Exclamation-mark.jpg|left|25px|line=1|]] This section is experimental, feel free to improve and send us comments or questions !

 
=== Description of the hardware ===
* One node with 2 NVidia Tesla M2050 (2.6GB) GPU cards, 8 cores, 12GB of ram and 160 GB of /scratch 
* Two nodes with each 6 NVidia Tesla M2075 (5.3GB) GPU cards, 24 cores, 64 GB of ram and 820 GB of /scratch 
 

=== Queues ===
We have 3 queues:
* '''gpu2''': has the 1 node with the 2 GPUs
* '''gpu6''': has the 2 nodes with the 6 GPUs each, so 12 GPUs in total
* '''gpu''': has all 3 nodes

=== Running Jobs using the GPUs ===
[[File:Exclamation-mark.jpg|left|25px|line=1|]] As we are no experts and don't use the GPUs ourselves, this is really work-in-progress. Please share with us and update this page if you have more in-depth information !

 
Inside your jobs, you need to export the number of available GPUs to your environment.
A small script has been written to do so, so just add it in your qsub scrip:
. /swmgrs/icecubes/set_gpus.sh
This should give you something like:
<pre>env|grep CUDA
CUDA_VISIBLE_DEVICES=0,1,2,3,4,5</pre>

Then just send as usual your job using one of the GPU queues:
qsub -q gpu myscript.sh

GPUs - Revision history

Admin: /* About GPUs at T2B */

Admin at 09:22, 28 February 2023

ROMAIN ROUGNY rrougny@vub.ac.be: Created page with "line=1| This section is experimental, feel free to improve and send us comments or questions ! === Description of the hardware ==..."

ROMAIN ROUGNY rrougny@vub.ac.be: Created page with "line=1| This section is experimental, feel free to improve and send us comments or questions !
=== Description of the hardware ==..."