Whether you are developing a Windows*, Linux*, or Mac OS* application for a laptop, desktop, or server, the Intel® Integrated Performance Primitives (IPP) will help you obtain the highest application performance and get the most out of todays multi–core processors.Be more efficient in using the Intel IPP library and application programming interface
Dramatically improve the performance and speed of development of your applications
Quickly solve common image, audio, video, graphics, and signal/data processing problems
Optimizing Applications for Multi-Core Processors is the second edition of the successful Intel Integrated Performance Primitives (IPP) book. The essential guide to incorporating the fully thread–safe Intel IPP functions into your applications. In this new edition Stewart Taylor, the former chief architect of Intel IPP, explains proven techniques for using the library to exploit the advanced Intel® Core™ micro architecture features without having to write processor–specific code. Extensive examples written in C and C++ explore the range of possible applications, from multimedia to signal and data processing, and show you how to take advantage of functions that are now highly optimized for the Intel multi–core processors.
After reading this book you will:
The companion Web site provides all code examples presented in the book and an evaluation version of the Intel Integrated Performance Primitives.
Stewart Taylor is a Software Architect at Intel Corporation and was the lead designer of the Intel IPP functions. Over the last 15 years at Intel, Stewart has focused his activities on various data and multimedia processing products including the Intel Image Processing Library, the Intel JPEG Library, the Open Source Computer Vision Library, and the Intel ProShare conferencing software. Stewart is a graduate of Princeton University and Stanford University. His technical background includes imaging, signal processing, computer vision, graphics, XML, and software design across multiple languages.
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Publisher: Intel Press
Page Count (est.): 579
Pub Date: 9/1/2007