Chapter 13

Parallel Programming and Computational Thinking

Chapter Outline

13.1 Goals of Parallel Computing

13.2 Problem Decomposition

13.3 Algorithm Selection

13.4 Computational Thinking

13.5 Summary

13.6 Exercises

References

We have so far concentrated on the practical experience of parallel programming, which consists of CUDA programming model features, performance and numerical considerations, parallel patterns, and application case studies. We will now switch gear to more abstract concepts. We will first generalize parallel programming into a computational thinking process of decomposing a domain problem into well-defined, coordinated work units that can each be realized with efficient numerical methods and well-known algorithms. A programmer ...

Get Programming Massively Parallel Processors, 2nd Edition now with O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.