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7. Races and Parallelism
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Classroom Contents
Performance Engineering of Software Systems
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- 1 1. Introduction and Matrix Multiplication
- 2 2. Bentley Rules for Optimizing Work
- 3 3. Bit Hacks
- 4 4. Assembly Language & Computer Architecture
- 5 5. C to Assembly
- 6 6. Multicore Programming
- 7 7. Races and Parallelism
- 8 8. Analysis of Multithreaded Algorithms
- 9 9. What Compilers Can and Cannot Do
- 10 10. Measurement and Timing
- 11 11. Storage Allocation
- 12 12. Parallel Storage Allocation
- 13 13. The Cilk Runtime System
- 14 14. Caching and Cache-Efficient Algorithms
- 15 15. Cache-Oblivious Algorithms
- 16 16. Nondeterministic Parallel Programming
- 17 17. Synchronization Without Locks
- 18 18. Domain Specific Languages and Autotuning
- 19 19. Leiserchess Codewalk
- 20 20. Speculative Parallelism & Leiserchess
- 21 21. Tuning a TSP Algorithm
- 22 22. Graph Optimization
- 23 23. High Performance in Dynamic Languages
