https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Limiting-number-of-threads-processors-for-benchmarking-purposes/m-p/776470#M1100 Is there any way to restrict the number of threads/processors used by numpy linked to MKL? I would like to restrict it to one processor, as the final implemenation of the program will be run in parallel, so each instance would only be effectively using one processor. I need to get some estimated times for one processor as i will be comparing the performance to alternative options that are single-threaded (but would be run in parallel on my setup as well).<BR /><BR />I just don't have access to the full setup right now, so i'm trying to benchmark them on a different setup, so i need to be able to compare the run times in an apple to apples environment (one processor each). I've tried settting os.environ['OMP_NUM_THREADS'] = '1', but the program still runs on both processors.<BR /><BR />Thanks!<BR /> Mon, 30 Jul 2012 21:34:46 GMT jickerson 2012-07-30T21:34:46Z https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Limiting-number-of-threads-processors-for-benchmarking-purposes/m-p/776470#M1100 Is there any way to restrict the number of threads/processors used by numpy linked to MKL? I would like to restrict it to one processor, as the final implemenation of the program will be run in parallel, so each instance would only be effectively using one processor. I need to get some estimated times for one processor as i will be comparing the performance to alternative options that are single-threaded (but would be run in parallel on my setup as well).<BR /><BR />I just don't have access to the full setup right now, so i'm trying to benchmark them on a different setup, so i need to be able to compare the run times in an apple to apples environment (one processor each). I've tried settting os.environ['OMP_NUM_THREADS'] = '1', but the program still runs on both processors.<BR /><BR />Thanks!<BR /> Mon, 30 Jul 2012 21:34:46 GMT https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Limiting-number-of-threads-processors-for-benchmarking-purposes/m-p/776470#M1100 jickerson 2012-07-30T21:34:46Z https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Limiting-number-of-threads-processors-for-benchmarking-purposes/m-p/776471#M1101 Hi,<BR /><BR />If you don'tneed parallel work ofMKL just link with sequential MKLlibrary instead of thread-library. Tue, 31 Jul 2012 11:26:40 GMT https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Limiting-number-of-threads-processors-for-benchmarking-purposes/m-p/776471#M1101 barragan_villanueva_ 2012-07-31T11:26:40Z https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Limiting-number-of-threads-processors-for-benchmarking-purposes/m-p/776472#M1102 I'm sorry, but i'm not that familiar with MKL (the library came pre-linked in the Enthought python distro that I am using). Could you point me to a quick reference on how to do this? Is it a flag that i can just include in my python script? Tue, 31 Jul 2012 13:49:44 GMT https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Limiting-number-of-threads-processors-for-benchmarking-purposes/m-p/776472#M1102 jickerson 2012-07-31T13:49:44Z https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Limiting-number-of-threads-processors-for-benchmarking-purposes/m-p/776473#M1103 On Linux:<BR /> In your config files please find <STRONG>mkl_intel_thread</STRONG> and substitute it to <STRONG>mkl_sequential<BR /></STRONG>It maybe something like -lmkl_intel_thread or with full name of library libmkl_intel_thread Tue, 31 Jul 2012 14:06:08 GMT https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Limiting-number-of-threads-processors-for-benchmarking-purposes/m-p/776473#M1103 barragan_villanueva_ 2012-07-31T14:06:08Z