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6.172 Performance Engineering of Software Systems (Fall 2018, MIT OCW). Instructors: Prof. Charles Leiserson and Prof.
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English [CC]
FREE
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Description
Julian Shun. 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)
Course content
- Lecture 01 – Introduction and Matrix Multiplication Unlimited
- Lecture 02 – Bentley Rules for Optimizing Work Unlimited
- Lecture 03 – Bit Hacks Unlimited
- Lecture 04 – Assembly Language and Computer Architecture Unlimited
- Lecture 05 – C to Assembly Unlimited
- Lecture 06 – Multicore Programming Unlimited
- Lecture 07 – Races and Parallelism Unlimited
- Lecture 08 – Analysis of Multithreaded Algorithms Unlimited
- Lecture 09 – What Compilers can and cannot Do Unlimited
- Lecture 10 – Measurement and Timing Unlimited
- Lecture 11 – Storage Allocation Unlimited
- Lecture 12 – Parallel Storage Allocation Unlimited
- Lecture 13 – The Cilk Runtime System Unlimited
- Lecture 14 – Caching and Cache-Efficient Algorithms Unlimited
- Lecture 15 – Cache-Oblivious Algorithms Unlimited
- Lecture 16 – Non-deterministic Parallel Programming Unlimited
- Lecture 17 – Synchronization without Locks Unlimited
- Lecture 18 – Domain Specific Languages and Autotuning Unlimited
- Lecture 19 – Leiserchess Codewalk Unlimited
- Lecture 20 – Speculative Parallelism and Leiserchess Unlimited
- Lecture 21 – Tuning a TSP Algorism Unlimited
- Lecture 22 – Graph Optimization Unlimited
- Lecture 23 – High Performance in Dynamic Languages Unlimited
Instructor
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