New Intel® Math Kernel Library Features Boost Performance for Tiny and Gigantic Computations

New Intel® Math Kernel Library Features Boost Performance for Tiny and Gigantic Computations

Intel® Math Kernel Library (Intel® MKL) is a computational math library aimed at unleashing performance on Intel® architecture. Designed for scientific, engineering, and financial applications, it efficiently handles both very small and very large computations. Here, we’ll introduce two new features in Intel MKL. The first, helps programmers to boost performance on a single CPU core with minimal effort when dealing with small data sets (for example, matrix multiplication for tiny matrices). The second, at the other end of the spectrum, efficiently solves large-scale sparse linear systems with tens of millions of equations on clusters. We’ll focus on usage models and APIs for these new features and share relevant performance data.

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