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