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

Lecture 1 Matrix Multiply A Case Study (M-I-T)

Lecture 10 Dynamic Storage Allocation (M-I-T)

Lecture 11 What Compilers Can and Cannot Do (M-I-T)

Lecture 12 Multicore Programming (M-I-T)

Lecture 13 Parallelism and Performance (M-I-T)

Lecture 14 Analysis of Multithreaded Algorithms (M-I-T)

Lecture 15 Nondeterministic Programming (M-I-T)

Lecture 16 Synchronizing without Locks (M-I-T)

Lecture 17 Performance Issues in Parallelization (M-I-T)

Lecture 18 Primer on Ray Tracing Techniques (M-I-T)

Lecture 19 How TokuDB Fractal Tree Indexes Work (M-I-T)

Lecture 2 Bit Hacks (M-I-T)

Lecture 20 Distributed Systems (M-I-T)

Lecture 21 Quiz 2 Review (M-I-T)

Lecture 22 A Tale of 10 Bugs Performance Engineering at VMware (M-I-T)

Lecture 23 Final Competition and Student Feedback (M-I-T)

Lecture 3 Basic Performance Engineering (M-I-T)

Lecture 4 Computer Architecture and Performance Engineering (M-I-T)

Lecture 5 Performance Engineering with Profiling Tools (M-I-T)

Lecture 6 C to Assembler (M-I-T)

Lecture 7 Memory Systems and Performance Engineering (M-I-T)

Lecture 8 Cache-Efficient Algorithms (M-I-T)

Lecture 9 Cache-Efficient Algorithms II (M-I-T)