Robust SPMD-like structure

I'm interested in running some subroutine on different sets of data in parallel. Sometimes, a dataset will cause errors in the subroutine, but most of the time it does not. Is there a way to salvage the valid results from all of the datasets without errors? SPMD documentation says that it will stop all workers upon encountering an error in one.

回答(1 个)

Walter Roberson
Walter Roberson 2016-1-7

2 个投票

Put in your own try/catch
You might also want to look at parfeval()

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