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Intel Xeon Phi Processor High Performance Programming, 2nd Edition
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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 11

Vectorization with SDLT

Abstract

Introduces Intel® SIMD Data Layout Templates (SDLT) containers (use in place of std::vector). For C++ code, this can offer an effective method to achieve superior performance by increasing vectorization through “AOS to SOA or AOSOA” conversions. This can enhance performance of Knights Landing or any processor. Includes sample codes, and discussion on how to transition from Array of Structures (AOS) to Structure of Arrays (SOA) or Arrays of Structure of Arrays (ASA) utilizing SDLT while maintaining a high-level object-oriented structure.

Keywords

SIMD Data Layout Templates (SDLT); Data layout; SIMD; Vectorization; Vector code; Structure of Arrays (SOA); Array of Structures (AOS); std::vector; Memory ...

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Publisher Resources

ISBN: 9780128091951