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Intel® Math Kernel Library – LINPACK Download
Download the Intel® Optimized LINPACK Benchmark and the Intel® Optimized MP LINPACK Benchmark for Clusters packages from the table below.By downloading any sample package you accept the End User...
View ArticleConditional Numerical Reproducibility (CNR) in Intel MKL 11.0
New functionality in Intel MKL 11.0 now allows you to balance performance with reproducible results by allowing greater flexibility in code path choice and by ensuring that algorithms are...
View ArticleIntel® MKL with Numpy, Scipy, Matlab, C#, Python, NAG and more
The following table lists links to the useful articles describing how Intel® Math Kernel Library (Intel® MKL) can be used with the third party libraries and applications.TopicsDescriptionThird Party...
View ArticleIntel® MKL VML Training Material
This article contains training material (in PDF format) on Intel® MKL Vector Math (VML), which includes details of VML features and performance, examples and its application in Finance. Please see the...
View ArticleConditional Numerical Reproducibility (CNR) in Intel MKL 11.0
New functionality in Intel MKL 11.0 now allows you to balance performance with reproducible results by allowing greater flexibility in code path choice and by ensuring that algorithms are...
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Optimized Pseudo Random Number Generators with AVX2
Intel® Math Kernel Library includes powerful and versatile random number generators that have been optimized to take full advantage of Intel® Advanced Vector Extensions 2 (aka Intel® AVX2) introduced...
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