Github user felixcheung commented on the issue:
https://github.com/apache/spark/pull/18551
shouldn't we not suggest to disable multithreading completely but instead
say to make sure the number of core assigned to Spark and number of threads to
native BLAS add up to the total number of CPU core available on the worker?
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