Programming Massively Parallel Processors

A Hands-on Approach

Nonfiction, Computers, Advanced Computing, Parallel Processing, Programming, Software Development, General Computing
Cover of the book Programming Massively Parallel Processors by David B. Kirk, Wen-mei W. Hwu, Elsevier Science
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Author: David B. Kirk, Wen-mei W. Hwu ISBN: 9780123814739
Publisher: Elsevier Science Publication: February 22, 2010
Imprint: Morgan Kaufmann Language: English
Author: David B. Kirk, Wen-mei W. Hwu
ISBN: 9780123814739
Publisher: Elsevier Science
Publication: February 22, 2010
Imprint: Morgan Kaufmann
Language: English

Programming Massively Parallel Processors discusses the basic concepts of parallel programming and GPU architecture. Various techniques for constructing parallel programs are explored in detail. Case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs.

This book describes computational thinking techniques that will enable students to think about problems in ways that are amenable to high-performance parallel computing. It utilizes CUDA (Compute Unified Device Architecture), NVIDIA's software development tool created specifically for massively parallel environments. Studies learn how to achieve both high-performance and high-reliability using the CUDA programming model as well as OpenCL.

This book is recommended for advanced students, software engineers, programmers, and hardware engineers.

  • Teaches computational thinking and problem-solving techniques that facilitate high-performance parallel computing.
  • Utilizes CUDA (Compute Unified Device Architecture), NVIDIA's software development tool created specifically for massively parallel environments.
  • Shows you how to achieve both high-performance and high-reliability using the CUDA programming model as well as OpenCL.
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Programming Massively Parallel Processors discusses the basic concepts of parallel programming and GPU architecture. Various techniques for constructing parallel programs are explored in detail. Case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs.

This book describes computational thinking techniques that will enable students to think about problems in ways that are amenable to high-performance parallel computing. It utilizes CUDA (Compute Unified Device Architecture), NVIDIA's software development tool created specifically for massively parallel environments. Studies learn how to achieve both high-performance and high-reliability using the CUDA programming model as well as OpenCL.

This book is recommended for advanced students, software engineers, programmers, and hardware engineers.

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