Loading…

MIT OpenCourseWare

Performance Engineering of Software Systems

6.172 is an 18-unit class that provides a hands-on, project-based introduction to building scalable and high-performance software systems. Topics include performance analysis, algorithmic techniques for high performance, instruction-level optimizations, caching optimizations, parallel programming, and building scalable systems. The course programming language is C. (from ocw.mit.edu )

Instructor

Prof. Charles Leiserson and Prof. Julian Shun.

Computer science

2021

Lecture 01 - Introduction and Matrix Multiplication

Lecture 02 - Bentley Rules for Optimizing Work

Lecture 03 - Bit Hacks

Lecture 04 - Assembly Language and Computer Architecture

Lecture 05 - C to Assembly

Lecture 06 - Multicore Programming

Lecture 07 - Races and Parallelism

Lecture 08 - Analysis of Multithreaded Algorithms

Lecture 09 - 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 - Non-deterministic Parallel Programming

Lecture 17 - Synchronization without Locks

Lecture 18 - Domain Specific Languages and Autotuning

Lecture 19 - Leiserchess Codewalk

Lecture 20 - Speculative Parallelism and Leiserchess

Lecture 21 - Tuning a TSP Algorism

Lecture 22 - Graph Optimization

Lecture 23 - High Performance in Dynamic Languages