{"product_id":"cuda-by-example-jason-sanders-9780131387683","title":"Cuda by Example: An Introduction to General-Purpose Gpu Programming","description":"\u003cp\u003e\u003cem\u003e\u003c\/em\u003e\u003c\/p\u003e \u003cp\u003e\u003cem\u003e\"This book is required reading for anyone working with accelerator-based computing systems.\"\u003c\/em\u003e\u003c\/p\u003e \u003cem\u003e \u003c\/em\u003e-From the Foreword by Jack Dongarra, University of Tennessee and Oak Ridge National Laboratory \u003cp\u003eCUDA is a computing architecture designed to facilitate the development of parallel programs. In conjunction with a comprehensive software platform, the CUDA Architecture enables programmers to draw on the immense power of graphics processing units (GPUs) when building high-performance applications. GPUs, of course, have long been available for demanding graphics and game applications. CUDA now brings this valuable resource to programmers working on applications in other domains, including science, engineering, and finance. No knowledge of graphics programming is required-just the ability to program in a modestly extended version of C.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003e\u003cem\u003e\u003cstrong\u003eCUDA by Example, \u003c\/strong\u003e\u003c\/em\u003e\u003c\/strong\u003e written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology. The authors introduce each area of CUDA development through working examples. After a concise introduction to the CUDA platform and architecture, as well as a quick-start guide to CUDA C, the book details the techniques and trade-offs associated with each key CUDA feature. You'll discover when to use each CUDA C extension and how to write CUDA software that delivers truly outstanding performance.\u003c\/p\u003e \u003cp\u003eMajor topics covered include\u003c\/p\u003e \u003cul\u003e \u003cli\u003e Parallel programming\u003c\/li\u003e \u003cli\u003e Thread cooperation\u003c\/li\u003e \u003cli\u003e Constant memory and events\u003c\/li\u003e \u003cli\u003e Texture memory\u003c\/li\u003e \u003cli\u003e Graphics interoperability\u003c\/li\u003e \u003cli\u003e Atomics\u003c\/li\u003e \u003cli\u003e Streams\u003c\/li\u003e \u003cli\u003e CUDA C on multiple GPUs\u003c\/li\u003e \u003cli\u003e Advanced atomics\u003c\/li\u003e \u003cli\u003e Additional CUDA resources\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eAll the CUDA software tools you'll need are freely available for download from NVIDIA.\u003c\/p\u003e \u003cp\u003ehttp: \/\/developer.nvidia.com\/object\/cuda-by-example.html\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Jason Sanders, Edward Kandrot\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 0131387685\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9780131387683\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Addison-Wesley Professional\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 07\/16\/2010\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 320\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.15lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.04h x 7.42w x 0.66d\u003cbr\u003e\u003cbr\u003e\u003cb\u003eReview Citation(s): \u003c\/b\u003e\u003cbr\u003e\u003ci\u003eScitech Book News\u003c\/i\u003e 12\/01\/2010 pg. 21","brand":"Jason Sanders","offers":[{"title":"Paperback","offer_id":44302429028607,"sku":"9780131387683","price":49.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_ce5c8bb6-0ee2-4181-a0b0-e6f35152f06c.jpg?v=1695161534","url":"https:\/\/www.whiterainbookhouse.com\/products\/cuda-by-example-jason-sanders-9780131387683","provider":"WR Book House","version":"1.0","type":"link"}