CUDA by Example An Introduction to GeneralPurpose GPU Programming Jason Sanders / Kandrot 0076092047179 Books Lecteur PDF gratuit CUDA%20by%20Example%20An%20Introduction%20to%20GeneralPurpose%20GPU%20Programming%20Jason%20Sanders%20%2F%20Kandrot%200076092047179%20Books
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Lecteur PDF gratuit CUDA by Example An Introduction to GeneralPurpose GPU Programming Jason Sanders / Kandrot 0076092047179 Books CKI
–From the Foreword by Jack Dongarra, University of Tennessee and Oak Ridge National Laboratory“This book is required reading for anyone working with accelerator-based computing systems.”
CUDA 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.
CUDA by Example, 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.
Major topics covered include
- Parallel programming
- Thread cooperation
- Constant memory and events
- Texture memory
- Graphics interoperability
- Atomics
- Streams
- CUDA C on multiple GPUs
- Advanced atomics
- Additional CUDA resources
All the CUDA software tools you’ll need are freely available for download from NVIDIA.
http//developer.nvidia.com/object/cuda-by-example.htmlJason Sanders / Kandrot,CUDA by Example An Introduction to General-Purpose GPU Programming,Addison-Wesley Professional,0131387685,Systems Architecture - General,Application software;Development.,Computer architecture.,Graphics processing units;Programming.,Application software,COMPUTERS / Programming / Parallel,COMPUTERS / Programming Languages / General,Computer Architecture,Computer Books General,Computer Programming,Computers,Computers - Languages / Programming,Computers / Systems Architecture / General,Development,Graphics processing units,Programming,Programming scripting languages general,Programming - Parallel
CUDA by Example An Introduction to GeneralPurpose GPU Programming Jason Sanders / Kandrot 0076092047179 Books Reviews :
–From the Foreword by Jack Dongarra, University of Tennessee and Oak Ridge National Laboratory“This book is required reading for anyone working with accelerator-based computing systems.”
CUDA 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.
CUDA by Example, 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.
Major topics covered include
- Parallel programming
- Thread cooperation
- Constant memory and events
- Texture memory
- Graphics interoperability
- Atomics
- Streams
- CUDA C on multiple GPUs
- Advanced atomics
- Additional CUDA resources
All the CUDA software tools you’ll need are freely available for download from NVIDIA.
http//developer.nvidia.com/object/cuda-by-example.htmlJason Sanders / Kandrot,CUDA by Example An Introduction to General-Purpose GPU Programming,Addison-Wesley Professional,0131387685,Systems Architecture - General,Application software;Development.,Computer architecture.,Graphics processing units;Programming.,Application software,COMPUTERS / Programming / Parallel,COMPUTERS / Programming Languages / General,Computer Architecture,Computer Books General,Computer Programming,Computers,Computers - Languages / Programming,Computers / Systems Architecture / General,Development,Graphics processing units,Programming,Programming scripting languages general,Programming - Parallel
CUDA by Example An Introduction to General-Purpose GPU Programming [Jason Sanders / Kandrot] on . I BLOCKQUOTE P style= MARGIN 0px “This book is required reading for anyone working with accelerator-based computing systems.”/P P style= MARGIN 0px /I–From the Foreword by Jack Dongarra
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