Should I use parfor on an already multithreaded function (decision tree,...)?

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Hi, I want to train many decision trees in parallel by using parfor, but I've heard elsewhere that they are multithreaded, so should I use parfor with them? I tried on some datasets, but they seem to be slower. However I don't know if things would be the same for very large datasets. Please help me, my understanding of parallel processing is very limited, I don't even understand the difference between process and thread, thank you very much

Answers (1)

Jan
Jan on 11 Feb 2017
Trying is the best way to find out, if it runs faster or not. There is no general best way and it depends on the data and the algorithm.

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