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--- cluster:192 [2020/02/26 18:25]
hmeij07 [EXX96]
+++ cluster:192 [2020/02/26 20:02]
hmeij07 [Usage]
@@ Line 10: / Line 10: @@
 ==== Usage ====
-The new queue ''exx96'' will be comprised of nodes ''n79-n90''.  Each node holds 4x RTX2080S gpus, 2x Xeon Silver 4214 2.2 Ghz cpus, 96 GB memory and a 1TB SSD. ''/localscratch'' is around 800 GD.
+The new queue ''exx96'' will be comprised of nodes ''n79-n90''.  Each node holds 4x RTX2080S gpus, 2x Xeon Silver 4214 2.2 Ghz 12-core cpus, 96 GB memory and a 1TB SSD. ''/localscratch'' is around 800 GB.
+A new static resource is introduced for all nodes holding gpus. ''n78'' in queue ''amber128'' and ''n33-n37'' in queue ''mwgpu'' and the nodes mentioned above.  The name of this resource is ''gpu4''.  Moving forward please use it instead of ''gpu'' or ''gputest''.
+The wrappers provided assume your cpu:gpu ratio is 1:1 hence in your submit code you will have ''#BSUB -n 1'' and in your resource allocation line ''gpu4=1''.  If your ratio is something else you can set CPU_GPU_REQUEST. For example CPU_GPU_REQUEST=4:2 expects the lines ''#BSUB -n 4'' and ''gpu4=2'' in your submit script. Sample script at ''/home/hmeij/k20redo/run.rtx''
+The wrappers (78.mpich3.wrapper for ''n78'', and n37.openmpi.wrapper for all others) are located in ''/usr/local/bin'' and will set up your environment and start either of these applications: amber, lammps, gromacs, matlab and namd from ''/usr/local''.
 <code>
+# command that shows gpu reservations
 bhosts -l n79
              gputest gpu4
  Total             0    3
- Reserved        0.0  0.1
+ Reserved        0.0  1.0
+# old way of doing that
 lsload -l n79
@@ Line 25: / Line 33: @@
 n79                         ok   0.0   0.0   0.0   0%   0.0     0   0 2e+08  826G   10G   90G    3.0
-mdout.325288:|  Master Total CPU time:          982.60 seconds     0.27 hours  1:1
+</code>
-mdout.325289:|  Master Total CPU time:          611.08 seconds     0.17 hours  4:2
-mdout.326208:|  Master Total CPU time:          537.97 seconds     0.15 hours 36:4
-#BSUB -n 4
+Peer to peer communication is possible (via PCIe rather than NVlink) with this hardware.  This will get rather messy in setting up.  Some quick off the cuff performance data reveals some impact. Generally in our environment the gains are not worth the effort.  Using Amber and ''pmemd.cuda.MPI''
-#BSUB -R "rusage[gpu4=2:mem=6288],span[hosts=1]"
-export CPU_GPU_REQUEST=4:2
-</code>
+<code>
+                                                                              cpu:gpu
+mdout.325288:|  Master Total CPU time:          982.60 seconds     0.27 hours   1:1
+mdout.325289:|  Master Total CPU time:          611.08 seconds     0.17 hours   4:2
+mdout.326208:|  Master Total CPU time:          537.97 seconds     0.15 hours  36:4
+</code>
 ==== Miscellaneous ====

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