Description: 1. Introduction 2. Data parallel computing 3. Scalable parallel execution 4. Memory and data locality 5. Performance considerations 6. Numerical considerations 7. Parallel patterns: convolution: An introduction to stencil computation 8. Parallel patterns: prefix sum: An introduction to work efficiency in parallel algorithms 9. Parallel patterns-parallel histogram computation: An introduction to atomic operations and privatization 10. Parallel patterns: sparse matrix computation: An introduction to data compression and regularization 11. Parallel patterns: merge sort: An introduction to tiling with dynamic input data identification 12. Parallel patterns: graph search 13. CUDA dynamic parallelism 14. Application case study-non-Cartesian magnetic resonance imaging: An introduction to statistical estimation methods 15. Application case study-molecular visualization and analysis 16. Application case study-machine learning 17. Parallel programming and computational thinking 18. Programming a heterogeneous computing cluster 19. Parallel programming with OpenACC 20. More on CUDA and graphics processing unit computing 21. Conclusion and outlook
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EAN: 9780323912310
UPC: 9780323912310
ISBN: 9780323912310
MPN: N/A
Item Height: 2.2 cm
Item Weight: 4.5 kg
Number of Pages: 580 Pages
Publication Name: Programming Massively Parallel Processors : a Hands-On Approach
Language: English
Publisher: Elsevier Science & Technology
Subject: Programming / General, Systems Architecture / General, Systems Architecture / Distributed Systems & Computing, Programming / Parallel
Publication Year: 2022
Type: Textbook
Author: Izzat El Hajj, David B. Kirk, Wen-Mei W. Hwu
Subject Area: Computers
Item Length: 9.2 in
Item Width: 7.5 in
Format: Trade Paperback
