![A Very Short Introduction to OpenMP Basile Schaeli EPFL – I&C – LSP Vincent Keller EPFL – STI – LIN. - ppt download A Very Short Introduction to OpenMP Basile Schaeli EPFL – I&C – LSP Vincent Keller EPFL – STI – LIN. - ppt download](https://images.slideplayer.com/16/5262603/slides/slide_4.jpg)
A Very Short Introduction to OpenMP Basile Schaeli EPFL – I&C – LSP Vincent Keller EPFL – STI – LIN. - ppt download
![Gemm-based convolution seems to support only single threads · Issue #454 · oneapi-src/oneDNN · GitHub Gemm-based convolution seems to support only single threads · Issue #454 · oneapi-src/oneDNN · GitHub](https://user-images.githubusercontent.com/12624852/56122713-98d74c80-5fa5-11e9-904c-446aebfda220.png)
Gemm-based convolution seems to support only single threads · Issue #454 · oneapi-src/oneDNN · GitHub
![OpenMP > 最適化 > [32スレッド -> OMP_NUM_THREADSを4に制限して7並列化] > wall time [28.8時間]の処理が[4.6時間]に | link: topのload average - Qiita OpenMP > 最適化 > [32スレッド -> OMP_NUM_THREADSを4に制限して7並列化] > wall time [28.8時間]の処理が[4.6時間]に | link: topのload average - Qiita](https://qiita-user-contents.imgix.net/https%3A%2F%2Fcdn.qiita.com%2Fassets%2Fpublic%2Farticle-ogp-background-9f5428127621718a910c8b63951390ad.png?ixlib=rb-4.0.0&w=1200&mark64=aHR0cHM6Ly9xaWl0YS11c2VyLWNvbnRlbnRzLmltZ2l4Lm5ldC9-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&mark-x=142&mark-y=112&blend64=aHR0cHM6Ly9xaWl0YS11c2VyLWNvbnRlbnRzLmltZ2l4Lm5ldC9-dGV4dD9peGxpYj1yYi00LjAuMCZ3PTYxNiZ0eHQ9JTQwN29mOSZ0eHQtY29sb3I9JTIzMjEyMTIxJnR4dC1mb250PUhpcmFnaW5vJTIwU2FucyUyMFc2JnR4dC1zaXplPTM2JnR4dC1hbGlnbj1sZWZ0JTJDdG9wJnM9NWU0MGY4MmNmOWExYzE4MWI1Y2M4MTQyZmJhNmVmZDE&blend-x=142&blend-y=491&blend-mode=normal&s=cb4408050f3288bdc55d9ab99fe56e7c)
OpenMP > 最適化 > [32スレッド -> OMP_NUM_THREADSを4に制限して7並列化] > wall time [28.8時間]の処理が[4.6時間]に | link: topのload average - Qiita
![Mark Neumann on Twitter: "This thread is very relevant for anyone running parallel experiments on a CPU with Pytorch - setting the OMP_NUM_THREADS=1 and MKL_NUM_THREADS=1 gives me a 27x speedup when running Mark Neumann on Twitter: "This thread is very relevant for anyone running parallel experiments on a CPU with Pytorch - setting the OMP_NUM_THREADS=1 and MKL_NUM_THREADS=1 gives me a 27x speedup when running](https://pbs.twimg.com/media/DtNmUubXoAIhhCo.jpg)
Mark Neumann on Twitter: "This thread is very relevant for anyone running parallel experiments on a CPU with Pytorch - setting the OMP_NUM_THREADS=1 and MKL_NUM_THREADS=1 gives me a 27x speedup when running
![Benchmarking depending on a number of threads by ntomp/OMP_NUM_THREADS.... | Download Scientific Diagram Benchmarking depending on a number of threads by ntomp/OMP_NUM_THREADS.... | Download Scientific Diagram](https://www.researchgate.net/publication/322294920/figure/fig3/AS:589271467585536@1517504674014/Benchmarking-depending-on-a-number-of-threads-by-ntomp-OMP-NUM-THREADS-FAT-nodes.png)
Benchmarking depending on a number of threads by ntomp/OMP_NUM_THREADS.... | Download Scientific Diagram
![RV06: How to do parallel calculation in WIEN2k | Edit .machines file | Change OMP_NUM_THREADS value - YouTube RV06: How to do parallel calculation in WIEN2k | Edit .machines file | Change OMP_NUM_THREADS value - YouTube](https://i.ytimg.com/vi/nZijemkovGY/maxresdefault.jpg)