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SubDyn and MKL #29
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@sinolonghai, is the only parallelization embodied in the MKL library? (and no where else in FAST)? |
I would expect differences with threaded MKL. It just depends on how different. https://software.intel.com/en-us/articles/getting-reproducible-results-with-intel-mkl/ |
Also you can try turning on CNR and see if that gives you the same answer. |
Yes Mike and Jon. This is an MKL problem. By setting both OMP_NUM_THREADS and MKL_NUM_THREADS, if MKL_NUM_THREADS uses the same value, no matter what OMP_NUM_THREADS value will be, the final result will remain identical. |
Sigh, more typos
I compiled openfast using intel compiler with MKL math library. For Test21, I found that when I set OMP_NUM_THREADS parameter to a larger number, the MKL can run in parallel, which can speed-up the calculation. However, when OMP_NUM_THREADS is set to different values, the generated Test21.SD.sum files are different, and then obviously the final calculation results are different. Any reason for this to happen?
Thanks!
Hai
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