6.172 Performance Engineering of Software Systems (Fall 2010, MIT OCW) | Computer Science

6.172 Performance Engineering of Software Systems

6.172 Performance Engineering of Software Systems (Fall 2010, MIT OCW). Instructors: Professor Saman Amarasinghe and Professor Charles Leiserson. This course is 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, cache and memory hierarchy optimization, parallel programming, and building scalable distributed systems. (from ocw.mit.edu)

Lecture 01 - Matrix Multiply: A Case Study

Lecture 02 - Bit Hacks

Lecture 03 - Basic Performance Engineering

Lecture 04 - Computer Architecture and Performance Engineering

Industry Mentor (MITPOSSE) Overview

Lecture 05 - Performance Engineering with Profiling Tools

Lecture 06 - C to Assembler

Lecture 07 - Memory Systems and Performance Engineering

Lecture 08 - Cache-Efficient Algorithms

Lecture 09 - Cache-Efficient Algorithms II

Lecture 10 - Dynamic Storage Allocation

Lecture 11 - What Compilers Can and Cannot Do

Lecture 12 - Multicore Programming

Lecture 13 - Parallelism and Performance

Lecture 14 - Analysis of Multithreaded Algorithms

Lecture 15 - Nondeterministic Programming

Lecture 16 - Synchronizing without Locks

Lecture 17 - Performance Issues in Parallelization

Lecture 18 - Primer on Ray Tracing Techniques

Lecture 19 - How TokuDB Fractal Tree Indexes Work

Lecture 20 - Distributed Systems

Lecture 21 - Quiz 2 Review

Lecture 22 - A Tale of 10 Bugs: Performance Engineering at VMware

Lecture 23 - Final Competition and Student Feedback

References

6.172 Performance Engineering of Software Systems (Fall 2010)
Instructors: Prof. Saman Amarasinghe and Prof. Charles Leiserson. Lecture Notes. Projects (No Examples). Study Materials. This course is a hands-on, project-based introduction to building scalable and high-performance software systems.