Parallel computing without the Parallel Computing Toolbox
This is basically a "fork" of https://uk.mathworks.com/matlabcentral/fileexchange/13775-multicore-parallel-processing-on-multiple-cores, with some convenience functions added for my own convenience.
All credit goes to Markus Buehren
https://github.com/ojwoodford/batch_job
- added
spawnmulticoreslaveinstancesandkillmulticoreslaveinstancesfunctions to automate instance launching - made code usable as a package (simply copy files to
path\+multicore\)
The simplest usage example is:
multicore.spawnmulticoreslaveinstances;
results = multicore.startmulticoremaster(@functionHandle, parameterCell);
multicore.killmulticoreslaveinstances;This will
- determine the number of available (physical) cores on the local machine
- start slave instances such that the total number of workers (including master) matches the number of cores
- perform the calculations
- remove all temp files
- shut down all slaves
multicoreDir = multicore.spawnmulticoreslaveinstances(n_slaves, multicoreDir, settings)allows to pass the same settings to each of n_slaves, using multicoreDir for the job pool.
Additional machines can be pointed at the same multicoreDir.
multicore.killmulticoreslaveinstances(multicoreDir);will shut down all slaves working on the job pool in multicoreDir