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Speed Up Small-Matrix Multiplication - Intel® Math Kernel

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Speed Up Small-Matrix Multiplication - Intel® Math Kernel

with Intel_Webinars|4 years experience

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Speed Up Small-Matrix Multiplication - Intel® Math Kernel

  • English
  • Programming
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  • (1383)
  • Project length: 0h 57m

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.

Overview

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.

Presenter: Murat Guney

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Murat E. Guney received his B.S./M.S. degrees from Middle East Technical University, and M.S./Ph.D. degrees from Georgia Institute of Technology. His main interests are high-performance/parallel computing, performance optimizations, sparse solvers, and numerical methods. He is currently a Software Engineer for the Intel Math Kernel Library.

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