Fixstars to Release "OpenCL Programming Book" Introduction to OpenCL

Tokyo, Japan - April 7, 2010 - Fixstars Corporation announced the release of their OpenCL Programming Book which is available on Amazon Kindle, Apple iPad and Fixstars' website.

OpenCL Book

OpenCL is a parallel computing framework for programming multi-core systems, such as multi-core CPUs, GPUs, and Cell/B.E.. OpenCL multi-functionality is attracting attention as an efficient and highly portable open technology for software development.

The book is a result of the collaboration of our team of engineers in providing a practical and easy to use tool for OpenCL programming. It starts with the basics of parallelization, covering the main concepts, techniques, and setting up a development environment for OpenCL. It concludes with a clear and useful example of the FFT and Mersenne Twister algorithms written in OpenCL, walking you through the programming process and providing you with the source-code. It is the perfect resource for those wishing to get started on programming in OpenCL.

"Fixstars is a skilled OpenCL practitioner and is ideally qualified to create state-of-the-art OpenCL educational materials," said Neil Trevett, the president of Khronos Group. "I wholeheartedly recommend to this book to anyone looking to understand and start using the amazing power of OpenCL."

"OpenCL is a software development technology that suits new multi-core era," said Satoshi Miki, CEO of Fixstars. "We wrote this book hoping to foster current users, help new adopters and contribute to expand the OpenCL community."

The PDF version may be purchased at Fixstars' website today and it will be available on Kindle and iPad, soon.

For more information on OpenCL Programming Book:
OpenCL Programming Book

About Fixstars Corporation

Founded in 2002, Fixstars is a leader in software development specializing in multi-core processors. Fixstars provides solutions mainly in financial, medical, industrial, and digital media fields, who has benefited from increased processing speed of massive amount of data in multi-core environment.
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