Programming Massively Parallel Processors : A Hands-on Approach (Paperback, 4 ed)

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