Programming Massively Parallel Processors
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Programming Massively Parallel Processors: A Hands-on Approach

Programming Massively Parallel Processors: A Hands-on Approach

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About the Book

Programming Massively Parallel Processors: A Hands-on Approach, Second Edition, teaches students how to program massively parallel processors. It offers a detailed discussion of various techniques for constructing parallel programs. Case studies are used to demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. This guide shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. This revised edition contains more parallel programming examples, commonly-used libraries such as Thrust, and explanations of the latest tools. It also provides new coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more; increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism; and two new case studies (on MRI reconstruction and molecular visualization) that explore the latest applications of CUDA and GPUs for scientific research and high-performance computing. This book should be a valuable resource for advanced students, software engineers, programmers, and hardware engineers.

Table of Contents:
1 Introduction2 History of GPU Computing3 Introduction to Data Parallelism and CUDA C4 Data-Parallel Execution Model5 CUDA Memories6 Performance Considerations7 Floating-Point Considerations8 Parallel Patterns: Convolutions9 Parallel Patterns: Prefix Sum10 Parallel Patterns: Sparse Matrix-Vector Multiplication11 Application Case Study: Advanced MRI Reconstruction12 Application Case Study: Molecular Visualization and Analysis13 Parallel Programming and Computational Thinking14 An Introduction to OpenCL15 Parallel Programming with OpenACC16 Thrust: A Productivity-Oriented Library for CUDA17 CUDA FORTRAN18 An Introduction to C++ AMP19 Programming a Heterogeneous Computing Cluster20 CUDA Dynamic Parallelism21 Conclusions and Future Outlook Appendix A: Matrix Multiplication Host-Only Version Source CodeAppendix B: GPU Compute Capabilities


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Product Details
  • ISBN-13: 9780124159921
  • Publisher: Elsevier Science & Technology
  • Publisher Imprint: Morgan Kaufmann Publishers In
  • Height: 235 mm
  • No of Pages: 520
  • Weight: 1000 gr
  • ISBN-10: 0124159923
  • Publisher Date: 20 Dec 2012
  • Binding: Paperback
  • Language: English
  • Sub Title: A Hands-on Approach
  • Width: 191 mm


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