Parallel pool in batch processing
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I had a question regarding batch processing and parallel pool. Is it a requirement to have a parfor or spmd command in the code to call the parallel pool if using batch processing with 60 cores to reduce the execution time of the code? Can batch processing speed up the computation without calling the parfor or spmd commands i.e just by increasing the number of cores utilized
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Walter Roberson
2017-1-9
Until R2016b, all workers received a single thread. The relevant R2016b release note is:
"Multithreaded Workers: Use multiple computational threads on your MATLAB workers
MATLAB workers used to run in single-threaded mode. Now you can control the number of computational threads so that workers can run in multithreaded mode and use all the cores on your cluster. This enables you to increase the number of computational threads, NumThreads, on each worker, without increasing the number of workers, NumWorkers. If you have more cores available, increase NumThreads to take full advantage of the built-in parallelism provided by the multithreaded nature of many of the underlying MATLAB libraries. For more information, see Create and Modify Cluster Profiles."
The documentation for batch shows examples of creating a batch without opening a parpool, and an example of requesting a pool. No explicit "parpool" statement is used.
If you are running on a cluster, you might need to parcluster() and batch() against that cluster.
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Walter Roberson
2017-1-10
That text is part of the description of the optional 'Pool' name/value pair. You do not need to pass anything there. If your code does not have parfor or spmd then it will not benefit from requesting a pool. You can use batch() for functions that do not use parfor or spmd -- the very first example is given as:
Run a batch script on a worker, without using a parallel pool:
j = batch('script1');
Edric Ellis
2017-1-10
Yes, you can use batch without your function/script using parfor or spmd - but in that case, you do not need to specify the 'Pool' argument.
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