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Programming Massively Parallel Processors

A Hands-on Approach

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Paperback, blz. | Engels
Elsevier Science | e druk, 2022
ISBN13: 9780323912310
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Elsevier Science e druk, 2022 9780323912310
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Samenvatting

Programming Massively Parallel Processors: A Hands-on Approach shows both students and professionals alike the basic concepts of parallel programming and GPU architecture. Concise, intuitive, and practical, it is based on years of road-testing in the authors' own parallel computing courses. Various techniques for constructing and optimizing parallel programs are explored in detail, while case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. The new edition includes updated coverage of CUDA, including the newer libraries such as CuDNN. New chapters on frequently used parallel patterns have been added, and case studies have been updated to reflect current industry practices.

Specificaties

ISBN13:9780323912310
Taal:Engels
Bindwijze:Paperback

Inhoudsopgave

1. Introduction<br><br>Part I Fundamental Concepts<br>2. Heterogeneous data parallel computing<br>3. Multidimensional grids and data<br>4. Compute architecture and scheduling<br>5. Memory architecture and data locality<br>6. Performance considerations<br><br>Part II Parallel Patterns<br>7. Convolution: An introduction to constant memory and caching<br>8. Stencil<br>9. Parallel histogram<br>10. Reduction And minimizing divergence<br>11. Prefix sum (scan)<br>12. Merge: An introduction to dynamic input data identification<br><br>Part III Advanced patterns and applications<br>13. Sorting<br>14. Sparse matrix computation<br>15. Graph traversal<br>16 Deep learning<br>17. Iterative magnetic resonance imaging reconstruction<br>18. Electrostatic potential map<br>19. Parallel programming and computational thinking<br><br>Part IV Advanced Practices<br>20. Programming a heterogeneous computing cluster: An introduction to CUDA streams<br>21. CUDA dynamic parallelism<br>22. Advanced practices and future evolution<br>23. Conclusion and outlook<br><br>Appendix A: Numerical considerations

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        Programming Massively Parallel Processors