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Author: Visit Amazon's Matthew Scarpino Page
ISBN : 1617290173
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Format: PDF
You can download Free OpenCL in Action: How to Accelerate Graphics and Computations from mediafire, rapishare, and mirror link
About the Author
Matthew Scarpino is a software consultant with over twelve years of experience in engineering and software development, and has developed high-performance applications using digital signal processors, field programmable gate arrays, and the Cell Broadband Engine. He's the author of Programming the Cell Processor: For Games, Graphics, and Numerical Computation.
Direct download links available for Free OpenCL in Action: How to Accelerate Graphics and Computations Paperback
- Paperback: 456 pages
- Publisher: Manning Publications (November 17, 2011)
- Language: English
- ISBN-10: 1617290173
- ISBN-13: 978-1617290176
- Product Dimensions: 0.9 x 7.2 x 9 inches
- Shipping Weight: 1.7 pounds (View shipping rates and policies)
Free OpenCL in Action: How to Accelerate Graphics and Computations
Manning's "OpenCL in Action" is just what the doctor ordered, if he is a doctor of Astrophysics, Mathematics or a graphics computing specialist, possibly even you. Do you harbor the desire to acquire StarTrek's ship computer for your personal use? Perhaps you could be delighted to discover that your GPU card has a secret identity as a supercomputer? If so, this book will open up the world of graphics super computing ( GPGPU ) to you for only a small fee and a few dozen hours of study. Be forewarned though, this is not a journey for the timid or the unprepared. Matthew Scarpino delves into a comprehensive introduction to the world of OpenCL computing that will challenge your comprehension and energy to gain a wide understanding of how to couple various standard computing languages and commercial computing platforms into opening up the mysterious ability hidden your computer's GPU that can amplify the power of your computer over 100 to 1.
It is rare that a revolution in any field will happen in most people's career. Most developments are incremental and well understood before they are widely accepted. I have watched the field of personal computing evolve for thirty years in a slow and methodical way. Computing advances have followed More's law of increasing complexity in the number of transistors on a die for just as long. Computing speed has been tied directly to this, until now. But with the ability to run parallel computing on a GPU using hundreds of processors, the ability to achieve an astounding leap for personal computers has arived overnight.
This book is one of the first to explore this fascinating and rapidly expanding area of programming. The author gives a comprehensive introduction to OpenCL and source code is available for download from his site( [...
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