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If you need to learn CUDA but don't have experience with parallel computing, CUDA Programming A Developer's Introduction offers a detailed guide to CUDA with a grounding in parallel fundamentals. It starts by introducing CUDA and bringing you up to speed on GPU parallelism and hardware, then delving into CUDA installation. Chapters on core concepts including threads, blocks, grids, and memory focus on both parallel and CUDA-specific issues. Later, the book demonstrates CUDA in practice for optimizing applications, adjusting to new hardware, and solving common problems.

• Comprehensive introduction to parallel programming with CUDA, for readers new to both
• Detailed instructions help readers optimize the CUDA software development kit
• Practical techniques illustrate working with memory, threads, algorithms, resources, and more
• Covers CUDA on multiple hardware platforms Mac, Linux and Windows with several NVIDIA chipsets
• Each chapter includes exercises to test reader knowledge

ebook,Shane Cook,CUDA Programming A Developer's Guide to Parallel Computing with GPUs (Applications of Gpu Computing),Morgan Kaufmann,Application software - Development,COMPUTER,COMPUTER SCIENCE (SPECIFIC ASPECTS),COMPUTERS,COMPUTERS / Distributed Systems / General,COMPUTERS / Programming / General,COMPUTERS / Software Development Engineering / General,COMPUTERS / Systems Architecture / Distributed Systems Computing,Computer Applications,Computer Books General,Computer Organization and Architecture,Computer architecture,Computer/General,Computers - General Information,Computers / Computer Science,Computers/Programming - Parallel,Computers/Software Development Engineering - General,Computing Security,Distributed Systems,General,How-to/Do-it-yourself,Monograph Series, any,Non-Fiction,Parallel processing,Parallel processing (Electronic computers),Parallel programming (Computer science),Programming,Programming - Parallel,Scholarly/Undergraduate,Software Development Engineering,Software Development Engineering - General,Software Engineering,Systems Architecture - Distributed Systems Computing,United States,supercomputing; multi-CPU system; libraries; SDK; CPU processor; parallel code; data storage,COMPUTERS / Distributed Systems / General,COMPUTERS / Programming / General,COMPUTERS / Software Development Engineering / General,Computers / Computer Science,Computers / Programming / Parallel,Computers / Systems Architecture / Distributed Systems Computing,Computers/Programming - Parallel,Computers/Software Development Engineering - General,Programming - Parallel,Software Development Engineering - General,Systems Architecture - Distributed Systems Computing,Computers - General Information,Computer Science (Specific Aspects),Computers,Computer Books General,Parallel processing,Software Engineering

CUDA Programming A Developer Guide to Parallel Computing with GPUs Applications of Gpu Computing 1 Shane Cook eBook Reviews :

If you need to learn CUDA but don't have experience with parallel computing, CUDA Programming A Developer's Introduction offers a detailed guide to CUDA with a grounding in parallel fundamentals. It starts by introducing CUDA and bringing you up to speed on GPU parallelism and hardware, then delving into CUDA installation. Chapters on core concepts including threads, blocks, grids, and memory focus on both parallel and CUDA-specific issues. Later, the book demonstrates CUDA in practice for optimizing applications, adjusting to new hardware, and solving common problems.

• Comprehensive introduction to parallel programming with CUDA, for readers new to both
• Detailed instructions help readers optimize the CUDA software development kit
• Practical techniques illustrate working with memory, threads, algorithms, resources, and more
• Covers CUDA on multiple hardware platforms Mac, Linux and Windows with several NVIDIA chipsets
• Each chapter includes exercises to test reader knowledge

ebook,Shane Cook,CUDA Programming A Developer's Guide to Parallel Computing with GPUs (Applications of Gpu Computing),Morgan Kaufmann,Application software - Development,COMPUTER,COMPUTER SCIENCE (SPECIFIC ASPECTS),COMPUTERS,COMPUTERS / Distributed Systems / General,COMPUTERS / Programming / General,COMPUTERS / Software Development Engineering / General,COMPUTERS / Systems Architecture / Distributed Systems Computing,Computer Applications,Computer Books General,Computer Organization and Architecture,Computer architecture,Computer/General,Computers - General Information,Computers / Computer Science,Computers/Programming - Parallel,Computers/Software Development Engineering - General,Computing Security,Distributed Systems,General,How-to/Do-it-yourself,Monograph Series, any,Non-Fiction,Parallel processing,Parallel processing (Electronic computers),Parallel programming (Computer science),Programming,Programming - Parallel,Scholarly/Undergraduate,Software Development Engineering,Software Development Engineering - General,Software Engineering,Systems Architecture - Distributed Systems Computing,United States,supercomputing; multi-CPU system; libraries; SDK; CPU processor; parallel code; data storage,COMPUTERS / Distributed Systems / General,COMPUTERS / Programming / General,COMPUTERS / Software Development Engineering / General,Computers / Computer Science,Computers / Programming / Parallel,Computers / Systems Architecture / Distributed Systems Computing,Computers/Programming - Parallel,Computers/Software Development Engineering - General,Programming - Parallel,Software Development Engineering - General,Systems Architecture - Distributed Systems Computing,Computers - General Information,Computer Science (Specific Aspects),Computers,Computer Books General,Parallel processing,Software Engineering

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Product details File Size 6683 KB Print Length 592 pages Publisher Morgan Kaufmann; 1 edition (December 28, 2012) Publication Date December 28, 2012 Sold by  Services LLC Language English ASIN B00A3944ZU

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