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Performance Engineering of Software Systems (Fall 2018) (M-I-T)

(23 Lectures Available)


S# Lecture Course Institute Instructor Discipline
1 Lecture 1: Introduction and Matrix Multiplication (M-I-T) Performance Engineering of Software Systems (Fall 2018) (M-I-T) MIT Prof. Dr. Charles Leiserson Applied Sciences
2 Lecture 2: Bentley Rules for Optimizing Work (M-I-T) Performance Engineering of Software Systems (Fall 2018) (M-I-T) MIT Prof. Dr. Julian Shun Applied Sciences
3 Lecture 3: Bit Hacks (M-I-T) Performance Engineering of Software Systems (Fall 2018) (M-I-T) MIT Prof. Dr. Julian Shun Applied Sciences
4 Lecture 4: Assembly Language & Computer Architecture (M-I-T) Performance Engineering of Software Systems (Fall 2018) (M-I-T) MIT Prof. Dr. Charles Leiserson Applied Sciences
5 Lecture 5: C to Assembly (M-I-T) Performance Engineering of Software Systems (Fall 2018) (M-I-T) MIT Tao B. Schardl Applied Sciences
6 Lecture 6: Multicore Programming (M-I-T) Performance Engineering of Software Systems (Fall 2018) (M-I-T) MIT Prof. Dr. Julian Shun Applied Sciences
7 Lecture 7: Races and Parallelism (M-I-T) Performance Engineering of Software Systems (Fall 2018) (M-I-T) MIT Prof. Dr. Charles Leiserson Applied Sciences
8 Lecture 8: Analysis of Multithreaded Algorithms (M-I-T) Performance Engineering of Software Systems (Fall 2018) (M-I-T) MIT Prof. Dr. Charles Leiserson Applied Sciences
9 Lecture 9: What Compilers Can and Cannot Do (M-I-T) Performance Engineering of Software Systems (Fall 2018) (M-I-T) MIT Prof. Dr. Tao B. Schardl Applied Sciences
10 Lecture 10: Measurement and Timing (M-I-T) Performance Engineering of Software Systems (Fall 2018) (M-I-T) MIT Prof. Dr. Julian Shun Applied Sciences
11 Lecture 11: Storage Allocation (M-I-T) Performance Engineering of Software Systems (Fall 2018) (M-I-T) MIT Prof. Dr. Julian Shun Applied Sciences
12 Lecture 12: Parallel Storage Allocation (M-I-T) Performance Engineering of Software Systems (Fall 2018) (M-I-T) MIT Prof. Dr. Julian Shun Applied Sciences
13 Lecture 13: The Cilk Runtime System (M-I-T) Performance Engineering of Software Systems (Fall 2018) (M-I-T) MIT Tao B. Schardl Applied Sciences
14 Lecture 14: Caching and Cache-Efficient Algorithms (M-I-T) Performance Engineering of Software Systems (Fall 2018) (M-I-T) MIT Prof. Dr. Julian Shun Applied Sciences
15 Lecture 15: Cache-Oblivious Algorithms (M-I-T) Performance Engineering of Software Systems (Fall 2018) (M-I-T) MIT Prof. Dr. Julian Shun Applied Sciences
16 Lecture 16: Nondeterministic Parallel Programming (M-I-T) Performance Engineering of Software Systems (Fall 2018) (M-I-T) MIT Prof. Dr. Charles Leiserson Applied Sciences
17 Lecture 17: Synchronization Without Locks (M-I-T) Performance Engineering of Software Systems (Fall 2018) (M-I-T) MIT Prof. Dr. Charles Leiserson Applied Sciences
18 Lecture 18: Domain Specific Languages and Autotuning (M-I-T) Performance Engineering of Software Systems (Fall 2018) (M-I-T) MIT Prof. Dr. Saman Amarasinghe Applied Sciences
19 Lecture 19: Leiserchess Codewalk (M-I-T) Performance Engineering of Software Systems (Fall 2018) (M-I-T) MIT Prof. Dr. Helen Xu Applied Sciences
20 Lecture 20: Speculative Parallelism & Leiserchess (M-I-T) Performance Engineering of Software Systems (Fall 2018) (M-I-T) MIT Prof. Dr. Charles Leiserson Applied Sciences
21 Lecture 21: Tuning a TSP Algorithm (M-I-T) Performance Engineering of Software Systems (Fall 2018) (M-I-T) MIT Prof. Dr. Jon Bentley Applied Sciences
22 Lecture 22: Graph Optimization (M-I-T) Performance Engineering of Software Systems (Fall 2018) (M-I-T) MIT Prof. Julian Shun Applied Sciences
23 Lecture 23: High Performance in Dynamic Languages (M-I-T) Performance Engineering of Software Systems (Fall 2018) (M-I-T) MIT Prof. Dr. Steven Johnson Applied Sciences

of 1 23 Lectures Available.