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If you're using an m5.8xlarge that has 32 vCPU but that's with hyperthreading enabled by default; that corresponds to 16 physical cores. I've seen some discussion (https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Intel-MKL-threading-behavior-on-Hyper-Threading-systems/td-p/896702) that MKL caps out at the number of physical cores when hyperthreading is enabled unless you set MKL_DYNAMIC=FALSE
beantwortet vor 2 Jahren
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FYI I suspect that the MKL needs to be updated since I updated my m5 instance from 16 core to 32 core. Not sure if this would help. I am looking at this link: https://docs.anaconda.com/mkl-optimizations/index.html
beantwortet vor 2 Jahren
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No luck. Plan to create a new m5 instance with 32 core and setup mkl there,
beantwortet vor 2 Jahren
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This is it! Exporting MKL_DYNAMIC=FALSE and setting MKL_NUM_THREADS did the magic for me.