Intel MKL Compact Matrix Functions Attain Significant Speedups
by Richard Friedman from Inside HPC & AI News | High-Performance Computing & Artificial Intelligence on (#3GGJN)
The latest version of Intel(R) Math Kernel Library (MKL) offers vectorized compact functions for general and specialized matrix computations of this type. These functions rely on true SIMD (single instruction, multiple data) matrix computations, and provide significant performance benefits compared to traditional techniques that exploit multithreading but rely on standard data formats.
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