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Intel® MKL with NumPy, SciPy, MATLAB, C#, Python, NAG and More

The following article explains on using Intel® MKL with NumPy/SciPy, Matlab, C#, Java, Python, NAG, Gromacs, Gnu Octave, PETSc, HPL, HPCC, IMSL etc.
Authored by Gennady F. (Blackbelt) Last updated on 06/23/2019 - 18:50
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The State of High-Performance Computing in the Open-Source R Ecosystem

Speaker: Drew Schmidt, University of Tennessee

Authored by admin Last updated on 03/09/2019 - 14:40
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Parallel Universe Magazine - Issue 17, March 2014

Authored by admin Last updated on 03/21/2019 - 12:00
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A Practical Library Operating System for Unmodified Applications

This paper disproves assumptions that unmodified applications can cause poor performance and a larger trusted computing base while running on Intel® Software Guard Extensions.
Authored by admin Last updated on 03/27/2019 - 16:09