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Uedu Open / Performance Engineering of Software Systems / 20. Speculative Parallelism & Leiserchess

20. Speculative Parallelism & Leiserchess

6.172 - Performance Engineering of Software Systems
其他影片 (47)
1 1. Introduction and Matrix Multiplication 1 Lec 1 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 2 2. Bentley Rules for Optimizing Work 2 Lec 2 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 3 3. Bit Hacks 3 Lec 3 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 4 4. Assembly Language & Computer Architecture 4 Lec 4 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 5 5. C to Assembly 5 Industry mentor overview | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 6 6. Multicore Programming 6 Lec 5 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 7 7. Races and Parallelism 7 Lec 6 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 8 8. Analysis of Multithreaded Algorithms 8 Lec 7 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 9 9. What Compilers Can and Cannot Do 9 Lec 8 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 10 10. Measurement and Timing 10 Lec 9 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 11 11. Storage Allocation 11 Lec 10 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 12 12. Parallel Storage Allocation 12 Lec 11 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 13 13. The Cilk Runtime System 13 Lec 12 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 14 14. Caching and Cache-Efficient Algorithms 14 Lec 13 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 15 15. Cache-Oblivious Algorithms 15 Lec 14 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 16 16. Nondeterministic Parallel Programming 16 Lec 15 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 17 17. Synchronization Without Locks 17 Lec 16 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 18 18. Domain Specific Languages and Autotuning 18 Lec 17 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 19 19. Leiserchess Codewalk 19 Lec 18 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 20 20. Speculative Parallelism & Leiserchess 20 Lec 19 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 21 21. Tuning a TSP Algorithm 21 Lec 20 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 22 22. Graph Optimization 22 Lec 21 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 23 23. High Performance in Dynamic Languages 23 Lec 22 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 24 Lec 23 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010
AI 學習助教
Performance Engineering of Software Systems
課程影片 (47)
1 1. Introduction and Matrix Multiplication 1 Lec 1 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 2 2. Bentley Rules for Optimizing Work 2 Lec 2 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 3 3. Bit Hacks 3 Lec 3 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 4 4. Assembly Language & Computer Architecture 4 Lec 4 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 5 5. C to Assembly 5 Industry mentor overview | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 6 6. Multicore Programming 6 Lec 5 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 7 7. Races and Parallelism 7 Lec 6 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 8 8. Analysis of Multithreaded Algorithms 8 Lec 7 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 9 9. What Compilers Can and Cannot Do 9 Lec 8 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 10 10. Measurement and Timing 10 Lec 9 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 11 11. Storage Allocation 11 Lec 10 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 12 12. Parallel Storage Allocation 12 Lec 11 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 13 13. The Cilk Runtime System 13 Lec 12 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 14 14. Caching and Cache-Efficient Algorithms 14 Lec 13 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 15 15. Cache-Oblivious Algorithms 15 Lec 14 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 16 16. Nondeterministic Parallel Programming 16 Lec 15 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 17 17. Synchronization Without Locks 17 Lec 16 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 18 18. Domain Specific Languages and Autotuning 18 Lec 17 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 19 19. Leiserchess Codewalk 19 Lec 18 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 20 20. Speculative Parallelism & Leiserchess 20 Lec 19 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 21 21. Tuning a TSP Algorithm 21 Lec 20 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 22 22. Graph Optimization 22 Lec 21 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 23 23. High Performance in Dynamic Languages 23 Lec 22 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010 24 Lec 23 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010