Programming Massively Parallel Processors
A Hands-on Approach

Learn how to program massively parallel processors with the new edition of the best-selling guide to CUDA and GPU parallel programming

Wen-mei W. Hwu (Author), David B. Kirk (Author), Izzat El Hajj (Author)

9780323912310

Paperback / softback, published 23 September 2022

580 pages, Approx. 340 illustrations
23.5 x 19 x 3.6 cm, 0.91 kg

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.

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

Subject Areas: Computer architecture & logic design [UYF], Distributed systems [UTR], Programming & scripting languages: general [UMX], Computer programming / software development [UM], Grid & parallel computing [UKG]