The book is intended as a programmers introduction to the use of SIMD on PCs. It presents the underlying technology of SIMD processing on current PCs and looks at tools to exploit this including the Intel SIMD library and the Parallel Processing Language Vector Pascal. It explains how to cast algorithms in parallel to exploit the parallel processing capability of standard PCs obtaining large performance gains relative to conventional sequential compilers. It assumes a familiarity with imperative programming but not specifically with Pascal. It does not assume any prior familiarity with the SIMD programming model. The language translation system will be available either as a downloadable for Linux or Windows in association with the book. This book will be particularly useful for programmers in the rapidly growing area of games and multi-media entertainment, and it would also to academics interested in parallel programming techniques or array programming languages.
"Any scientist or engineer having to analyze any volume of data should read this book. The streaming extensions on today's CPUs come to life with the code that is presented clearly and concisely, and your applications will learn to fly. Thumbs up for Paul Cockshott and Keith Renfrew."
Patrick Van Laake, Ph.D.
Equator Spatial Technologies
MMX and Streaming SIMD programming Using PCs and Linux
P. Cockshott & K. Renfrew, Springer, 2003
"Vector Pascal represents a major advance in enabling non-experts to exploit the byte-parallel processing capabilities of modern CPUs. Cockshott and Renfrew's succinct book provides a well-written introduction to contemporary MMX and SIMD technology, and a solid grounding in using Vector Pascal and its tools to develop substantive image processing and graphics applications."
Dr Greg Michaelson
Head of Computer Science
0131 451 3422
Series: Springer Professional Computing
Tertiary; University or College
Number Of Pages: 352
Published: 16th June 2004
Publisher: SPRINGER VERLAG GMBH
Country of Publication: GB
Dimensions (cm): 25.4 x 17.78
Weight (kg): 0.88