MIT 6.172 Performance Engineering of Software Systems
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Lec 1 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010
by MIT 14,827 views
Lecture 1: Matrix Multiply: A Case Study
Instructor: Charles Leiserson, Saman Amarasinghe
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Lec 2 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010
by MIT 6,079 views
Lecture 2: Bit Hacks
Instructor: Charles Leiserson
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Lec 3 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010
by MIT 2,679 views
Lecture 3: Basic Performance Engineering
Instructor: Saman Amarasinghe
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Lec 4 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010
by MIT 2,496 views
Lecture 4: Computer Architecture and Performance Engineering
Instructor: Saman Amarasinghe, John Dong
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Industry mentor overview | MIT 6.172 Performance Engineering of Software Systems, Fall 2010
by MIT 739 views
Industry mentor (MITPOSSE) overview
Instructor: Saman Amarasinghe, Charles Leiserson, Eirik Bakke
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Lec 5 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010
by MIT 1,397 views
Lecture 5: Performance Engineering with Profiling Tools
Instructor: Reid Kleckner, John Dong, Saman Amarasinghe
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Lec 6 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010
by MIT 1,398 views
Lecture 6: C to Assembler
Instructor: Charles Leiserson
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Lec 7 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010
by MIT 1,037 views
Lecture 7: Memory Systems and Performance Engineering
Instructor: Saman Amarasinghe
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Lec 8 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010
by MIT 1,195 views
Lecture 8: Cache-Efficient Algorithms
Instructor: Charles Leiserson
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Lec 9 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010
by MIT 714 views
Lecture 9: Cache-Efficient Algorithms II
Instructor: John Dong, Saman Amarasinghe, Charles Leiserson
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Lec 10 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010
by MIT 938 views
Lecture 10: Dynamic Storage Allocation
Instructor: Charles Leiserson
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Lec 11 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010
by MIT 726 views
Lecture 11: What Compilers Can and Cannot Do
Instructor: Saman Amarasinghe, Charles Leiserson
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Lec 12 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010
by MIT 778 views
Lecture 12: Multicore Programming
Instructor: Charles Leiserson, John Dong
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Lec 13 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010
by MIT 920 views
Lecture 13: Parallelism and Performance
Instructor: Charles Leiserson
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Lec 14 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010
by MIT 759 views
Lecture 14: Analysis of Multithreaded Algorithms
Instructor: Charles Leiserson
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Lec 15 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010
by MIT 1,007 views
Lecture 15: Nondeterministic Programming
Instructor: Charles Leiserson
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Lec 16 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010
by MIT 1,315 views
Lecture 16: Synchronizing without Locks
Instructor: Charles Leiserson
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Lec 17 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010
by MIT 487 views
Lecture 17: Performance Issues in Parallelization
Instructor: Saman Amarasinghe
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Lec 18 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010
by MIT 653 views
Lecture 18: Primer on Ray Tracing Techniques
Instructor: Joshua Slocum
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Lec 19 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010
by MIT 724 views
Lecture 19: How TokuDB Fractal Tree Indexes Work
Instructor: Bradley Kuszmaul
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Lec 20 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010
by MIT 828 views
Lecture 20: Distributed Systems
Instructor: Saman Amarasinghe
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Lec 21 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010
by MIT 872 views
Lecture 21: Quiz 2 Review
Instructor: John Dong
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Lec 22 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010
by MIT 612 views
Lecture 22: A Tale of 10 Bugs: Performance Engineering at Vmware
Instructor: Ravi Soundararajan
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Lec 23 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010
by MIT 750 views
Lecture 23: Final Competition and Student Feedback
Instructor: 6.172 students and staff
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