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cluster:73 [2020/03/06 07:53]
hmeij07 [Deep Learning Software Stack]
cluster:73 [2020/06/18 11:22]
hmeij07 [Matlab]
Line 1155: Line 1155:
 ====== LAMMPS CPU/GPU ====== ====== LAMMPS CPU/GPU ======
  
 +** CPU ONLY **
  
 +  * /share/apps/CENTOS6/lammps/3Mar2020
 +    * lmp_mpi, lmp_serial
 +  * consult this file for packages installed and compilations
 +    * /share/apps/CENTOS6/lammps/03Mar2020.install
 +    * should work on all queues
 +  * sample script in ~hmeij/k20redo/run.cpu.lammps
 +
 +
 +** CPU or GPU **
 +
 +  * /share/apps/CENTOS7/lammps/3Mar2020
 +    * lmp_mpi-[double-double|single-double|single-single]
 +  * consult this file for packages installed and compilations
 +    * /share/apps/CENTOS7/lammps/03Mar2020.install
 +    * CUDA_ARCH = sm_75 (probably only works on queue exx96)
 +  * sample script in ~hmeij/k20redo/run.rtx.lammps
 +
 +<code>
 +
 +# simple colloid example
 +CPU run -n1
 +Performance: 493311 tau/day, 1141 timesteps/s
 +GPU run gpu4=1 double-double: 1.1x
 +Performance: 571354 tau/day, 1322 timesteps/s
 +GPU run gpu4=1 single-double: 1.2x
 +Performance: 608498 tau/day, 1408 timesteps/s
 +GPU run gpu4=1 single-single: 1.3x
 +Performance: 623405 tau/day, 1443 timesteps/s
 +
 +</code>
     * /share/apps/CENTOS6/lammps/22Aug18     * /share/apps/CENTOS6/lammps/22Aug18
       * consult [[cluster:161|lammps-11Aug17]] page       * consult [[cluster:161|lammps-11Aug17]] page
Line 2058: Line 2089:
  
 ====== Amber ======  ====== Amber ====== 
 +
 +** AMBER 18 **
 +
 +  * **/share/apps/CENTOS7/amber/amber18**
 +  * compiled on ''n33'' with a ''/usr/local/n37-cuda-9.2'' soft link
 +  * view compile steps at /share/apps/CENTOS7/amber/amber18.install
 +  * when submitting on ''exx96'' we're mixing 
 +    * 10.2 cuda drivers
 +    * 9.2 toolkits
 +  * some speed results below K20 vs RTX2080s, Amber 16 vs 18
 +  * sample jobs at ~hmeij/k20redo/run.amber[16|18]
 +
 +
 +<code>
 +
 +# compiled on n33
 +[hmeij@n33 amber18]$ ls -l bin/pmemd*
 +-rwxr-xr-x 1 hmeij its  3549803 Mar 30 10:19 bin/pmemd
 +lrwxrwxrwx 1 hmeij its       15 Mar 30 11:57 bin/pmemd.cuda -> pmemd.cuda_SPFP
 +-rwxr-xr-x 1 hmeij its 93895208 Mar 30 12:11 bin/pmemd.cuda_DPFP
 +-rwxr-xr-x 1 hmeij its 94734272 Mar 30 13:07 bin/pmemd.cuda_DPFP.MPI
 +lrwxrwxrwx 1 hmeij its       19 Mar 30 12:51 bin/pmemd.cuda.MPI -> pmemd.cuda_SPFP.MPI
 +-rwxr-xr-x 1 hmeij its 75579744 Mar 30 11:57 bin/pmemd.cuda_SPFP
 +-rwxr-xr-x 1 hmeij its 76418760 Mar 30 12:51 bin/pmemd.cuda_SPFP.MPI
 +-rwxr-xr-x 1 hmeij its  4304392 Mar 30 11:23 bin/pmemd.MPI
 +
 +# some quick results
 +|     Average timings for all steps:
 +
 +~hmeij/k20redo/run.amber18 - mwgpu - K20
 +|         ns/day =       2.84   seconds/ns =   30385.24
 +~hmeij/k20redo/run.amber18 - exx96 - RTX2080S
 +|         ns/day =      11.66   seconds/ns =    7408.08
 +~hmeij/k20redo/run.amber16 - exx96 - RTX2080S
 +|         ns/day =       7.09   seconds/ns =   12185.91
 +
 +
 +</code>
  
 **AMBER 16** **AMBER 16**
Line 2072: Line 2141:
   * docs: doc dir inside install_dir, please read Amber17.pdf   * docs: doc dir inside install_dir, please read Amber17.pdf
   * www: http://amber.scripps.edu   * www: http://amber.scripps.edu
-  * sample script: /home/hmeij/amber/cd/run.cpu+  * sample script: ~hmeij/amber/cd/run.cpu
   * no gpu capabilitities, requires cuda 7.5+   * no gpu capabilitities, requires cuda 7.5+
  
Line 2783: Line 2852:
  
   * program: Matlab, link to binary is 'matlab' in ''/share/apps/bin''   * program: Matlab, link to binary is 'matlab' in ''/share/apps/bin''
-    * R2018a, campus wide license so no more restrictions on licenses  +    * R2020a, campus wide license so no more restrictions on licenses  
-    * No Distributed Computing Engine (for now) +    * No Distributed Computing Engine or Matlab Parallel (for now) 
-  * install dir: /share/apps/CENTOS7/matlab/R2018a+  * install dir: /share/apps/CENTOS7/matlab/R2020a
   * docs & www: http://mathworks.com   * docs & www: http://mathworks.com
  
Line 2796: Line 2865:
     * http://www.mathworks.com/help/matlab/mapreduce.html     * http://www.mathworks.com/help/matlab/mapreduce.html
  
-Details about the Matlab configuration/installation and __how to run Matlab jobs__ on the cluster can be found at this **[[cluster:39|Link]]**. Please read that page, the distributed and parallel job submissions are quite different from what we are used to on our  matlab host "rintintin".+
  
 ====== Stata ====== ====== Stata ======
cluster/73.txt · Last modified: 2024/05/15 08:58 by hmeij07