Github user mpjlu commented on the issue:
https://github.com/apache/spark/pull/18551
Hi @srowen , Thanks very much for your review.
I will revise the document of this PR to soften the language.
According to my profiling data, I guess, when the native BLAS is loaded (or
when a multi-threading subprogram is called), the native BLAS it will create a
thread pool (If you have 16 cores, by default it will create 15 threads, these
threads will exist until the end of the job, not the same life time as
subprogram, but the same life time as your job), this 15 threads each will
consume a whole CPU.
Thanks.
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