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Programming massively parallel processors hands-on with CUDA / by David Kirk and Wen-mei Hwu.

By: Contributor(s): Material type: TextTextPublication details: Burlington, MA : Morgan Kaufmann Publishers, c2010.Description: xviii, 258 p. : ill. ; 24 cmISBN:
  • 9780123814722
Subject(s): DDC classification:
  • 004.35   22
Contents:
1. Introduction -- 2. History of GPU Computing -- 3. Introduction to CUDA -- 4. CUDA Threads -- 5. CUDA Memories -- 6. Performance Considerations -- 7. Floating-Point Format -- 8. Application Case Study I - Advanced MRI Reconstruction -- 9. Application Case Study II - Molecular Visualization and Analysis -- 10. Parallel Programming and Computational Thinking -- 11. A Brief Introduction to OpenCL -- 12. Conclusion and Future Outlook.
Summary: Multi-core processors are no longer the future of computing-they are the present day reality. A typical mass-produced CPU features multiple processor cores, while a GPU (Graphics Processing Unit) may have hundreds or even thousands of cores. With the rise of multi-core architectures has come the need to teach advanced programmers a new and essential skill: how to program massively parallel processors. Programming Massively Parallel Processors: A Hands-on Approach shows both student and professional alike 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.
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Item type Current library Call number Copy number Status Date due Barcode
Books Books Main library General Stacks 004.35 / KI.P 2010 (Browse shelf(Opens below)) 1 Available 011511

Includes bibliographical references and index.

1. Introduction -- 2. History of GPU Computing -- 3. Introduction to CUDA -- 4. CUDA Threads -- 5. CUDA Memories -- 6. Performance Considerations -- 7. Floating-Point Format -- 8. Application Case Study I - Advanced MRI Reconstruction -- 9. Application Case Study II - Molecular Visualization and Analysis -- 10. Parallel Programming and Computational Thinking -- 11. A Brief Introduction to OpenCL -- 12. Conclusion and Future Outlook.

Multi-core processors are no longer the future of computing-they are the present day reality. A typical mass-produced CPU features multiple processor cores, while a GPU (Graphics Processing Unit) may have hundreds or even thousands of cores. With the rise of multi-core architectures has come the need to teach advanced programmers a new and essential skill: how to program massively parallel processors. Programming Massively Parallel Processors: A Hands-on Approach shows both student and professional alike 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.

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