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Date : 2010-07-29
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CUDA By Example NVIDIA Developer ~ 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
CUDA by Example An Introduction to GeneralPurpose GPU ~ While at NVIDIA he helped develop early releases of CUDA system software and contributed to the OpenCL 10 Specification an industry standard for heterogeneous computing Jason received his master’s degree in computer science from the University of California Berkeley where he published research in GPU computing
CUDA by Example An Introduction to GeneralPurpose GPU ~ Chapter 3 Introduction to CUDA C 21 31 Chapter Objectives 22 32 A First Program 22 33 Querying Devices 27 34 Using Device Properties 33 35 Chapter Review 35 Chapter 4 Parallel Programming in CUDA C 37 41 Chapter Objectives 38 42 CUDA Parallel Programming 38 43 Chapter Review 57 Chapter 5 Thread Cooperation 59 51 Chapter
CUDA by Example An Introduction to GeneralPurpose GPU ~ GPU programming simply offers you an opportunity to build—and to build mightily— on your existing programming skills To program NVIDIA GPUs to perform generalpurpose computing tasks you will want to know what CUDA is NVIDIA GPUs are built on what’s known as the CUDA Architecture
CUDA by Example An Introduction to GeneralPurpose GPU ~ 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 quickstart guide to CUDA C the book details the techniques and tradeoffs associated with each key CUDA feature
CUDA by Example An Introduction to GeneralPurpose GPU ~ 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 highperformance applications
CUDA by Example An Introduction to GeneralPurpose GPU ~ 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 highperformance applications GPUs of course have long been available for demanding graphics and game applications
CUDA BY EXAMPLE AN INTRODUCTION TO GENERALPURPOSE GPU ~ After a concise introduction to the CUDA platform and architecture as well as a quickstart guide to CUDA C the book details the techniques and tradeoffs associated with each key CUDA feature You will discover when to use each CUDA C extension and how to write CUDA software that delivers truly outstanding performance
CUDA by Example An Introduction to GeneralPurpose GPU ~ 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
CUDA by Example Nvidia ~ parallel programming CUDA CPU vector sums 39–41 example CPU Julia Set application 47–50 example GPU Julia Set application 50–57 example overview 46–47 GPU vector sums 41–46 overview of 38 summary review 56 summing vectors 38–41 parameter passing 24–27 40 72 PC gaming 3D graphics for 4–5
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