Efficient use of Matlab on the cluster

by Damien François (UCLouvain/CISM)

bibliotheque des sciences: salle pasteur (comodal (louvain-la-neuve or remote))

bibliotheque des sciences: salle pasteur

comodal (louvain-la-neuve or remote)

Join Zoom Meeting https://cern.zoom.us/j/68165517034?pwd=bllaeUZlNFlZZmh5RVYrVytudnJTQT09 Meeting ID: 681 6551 7034 Passcode: 257128 Join by SIP 68165517034@ 68165517034@ Join by H.323 Meeting ID: 681 6551 7034 Passcode: 257128

Matlab, and its free, mostly-compatible, alternative Octave are becoming more and more suitable for cluster computing with the rise of parallel computing toolboxes and/or syntactical constructs. The session explores the many was Matlab code can be parallelised and submitted to a cluster (taking into account the tough problem of licensing). 


  • Using Matlab in batch mode
  • The matlab compiler
  • The Octave alternative
  • Implicit multithreading
  • Explicit multithreading/processing
  • Matlab and the MPI


  • Being able to use SSH with private keys 
  • Being familiar with a text editor 
  • Mastering the Linux command line and the GNU utilities (mkdir, cp, scp, etc.)
  • Working knowledge of Matlab/Octave

Type: Hands-on
Target audience: Confirmed Matlab user
Must: This session is a must-have for anyone who wonders why Matlab is not installed on the CÉCI clusters.

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