Speed Up Small-Matrix Multiplication using New Intel® Math Kernel Library Capabilities


Wednesday, October 18, 2017 9 AM PDT

A major focus of Intel® Math Kernel Library—one of five free Intel® Performance Libraries—is to dramatically improve small-matrix multiplication run-time performance in compute-intense applications such as those used in applied mathematics, physics and engineering.

In this webinar we’ll look at new Intel® MKL capabilities, compare and contrast them for different matrix multiplication uses cases, and show you code samples and benchmark results for different sizes of problems

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Product and Performance Information


Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

Notice revision #20110804