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The Software Vectorization Handbook      The Software Vectorization Handbook
Applying Multimedia Extensions for Maximum Performance
by Aart J.C. Bik
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Download Excerpt: Multimedia Alignment Analysis
Download Excerpt: Effective Automatic Vectorization
Table of Contents
Errata
The growing popularity of multimedia extensions has renewed the interest in vectorizing compilers. The Software Vectorization Handbook provides a detailed overview of compiler optimizations that convert sequential code into a form that best exploits multimedia extensions.

This book is written for compiler engineers and programmers of scientific, engineering, and multimedia applications who are interested in learning the latest techniques for improving software performance. The primary focus is on the C programming language and multimedia extensions to the Intel® Architecture, although most conversion methods are easily generalized to other imperative programming languages and multimedia instruction sets.

Topics discussed range from traditional data dependence analysis and loop-oriented vectorization to more multimedia-oriented alignment optimizations and vectorization of straight-line code. All presented optimizations are available in the high performance Intel® C++/Fortran compilers that support automatic vectorization for MMX™ technology and the Streaming SIMD Extensions (SSE). The book also includes guidelines on how to use these compilers to take advantage of multi-media extensions with a minimum of engineering effort.

Customer Comments
"Rarely have I seen a book of such a great value to compiler writers and application developers alike, who want to unleash the power of the Intel Netburst microarchitecture and supported SSE instruction set. This book is especially valuable to readers interested in the latest cutting-edge Intel processor technologies that are delivering the high-performance computing demands of today's multimedia computers."

—Robert van Engelen, Assistant Professor, Florida State University

About the Author
Aart J.C. Bik holds a PhD in computer science and has been published extensively in academic and popular journals, ranging from Dr. Dobbs to the IEEE Transactions on Parallel and Distributed Systems. Aart is currently a Senior Staff Engineer at Intel Corporation, working on development of high performance Intel® C++ and Fortran compilers. Aart received an Intel Achievement Award (the highest company award available) for his work in making Intel's Streaming SIMD Extensions 2 (SSE2) easier to use through automatic vectorization.
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