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Intel Xeon Phi Processor High Performance Programming, 2nd Edition
book

Intel Xeon Phi Processor High Performance Programming, 2nd Edition

by James Jeffers, James Reinders, Avinash Sodani
May 2016
Intermediate to advanced
662 pages
20h 17m
English
Morgan Kaufmann
Content preview from Intel Xeon Phi Processor High Performance Programming, 2nd Edition
Chapter 9

Vectorization

Abstract

Discusses the AVX-512 vector parallel capabilities of Knights Landing and introduces how to utilize them. This chapter gives the fundamentals, which are the same techniques found in most any tutorial or reference on vectorization for processors.

Keywords

MIC architecture; Xeon Phi; MKL; Intrinsics; Inlining; SIMD; Vectors; VTune; Vectorization Advisor; Vectorization; AVX-512; Reciprocal; Gather; Scatter; FLOPs; SIMD mask; SIMD; Memory access pattern; Memory footprint; Optimization report; Random number (vectorization of); OpenMP

What is new with Knights Landing in this chapter?

AVX-512

One way or another, using the Advanced Vector eXtensions 512-bit (AVX-512) operations, is critical to the performance of ...

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Publisher Resources

ISBN: 9780128091951