![]() Now that R is also affected, I would like to request the MKL community to investigate the issue further, and document it in pages like so that more users can avoid this bug. ![]() Maybe only prebuilt binaries (installed from repositories) are affected, and maybe this issue won't arise when these softwares are built from source (I don't know, I am only speculating), but this is a very serious issue, and should be documented somewhere, because most users would tend to use the prebuilt binaries in distros like Ubuntu. Intel Openmp, but Octave still shows segmentation fault in its test run after using the workaround). ![]() Most likely there is some issue in the interfacing (e.g. GNU Octave package also includes its documentation and has a. You can start by updating the Ubuntu because the APT package is already available in the standard Ubuntu repository. While writing this article, the latest version 6.1.0 is released. Softwares like Octave, Scilab and R give correct results with OpenBLAS, but they sometimes fail with MKL in Ubuntu and Debian. To set up, follow our Initial server setup on Ubuntu 20.04. It has been reported by Norbert (author of the gist) that scilab has more test fails under MKL than under OpenBLAS. However, even after setting environment variable, Octave undergoes segmentation fault (see ) when _run_test_suite_ is executed. It has been found that both Octave and R require the environment variable to be set, in order to produce correct results in the test script. This test script has been updated with results from Python, Julia, Scilab, R and Octave
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