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1. The key idea;
2. Parallel software development;
3. Architectural background;
4. Models and their properties;
5. The categorical data type of lists;
6. Software development using lists;
7. Other operations on lists;
8. A cost calculus for lists;
9. Building categorical data types;
10. Lists, bags and finite sets;
11. Trees;
12. Arrays;
13. Graphs;
14. Conclusions; Appendix A. C++ Library for lists; Appendix B. Historical background.
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Add Foundations Of Parallel Programming, Using parallel machines is difficult because of their inherent complexity and because their architecture changes frequently. This book presents an integrated approach to developing software for parallel machines that addresses software issues and performa, Foundations Of Parallel Programming to the inventory that you are selling on WonderClubX
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Add Foundations Of Parallel Programming, Using parallel machines is difficult because of their inherent complexity and because their architecture changes frequently. This book presents an integrated approach to developing software for parallel machines that addresses software issues and performa, Foundations Of Parallel Programming to your collection on WonderClub |