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Engineering
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Electrical Engineering and Computer Science (M-I-T)
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Performance Engineering of Software Systems (Fall 2018) (M-I-T)
Performance Engineering of Software Systems (Fall 2018) (M-I-T)
(23 Lectures Available)
S#
Lecture
Course
Institute
Instructor
Discipline
1
Lecture 10: Measurement and Timing (M-I-T)
Performance Engineering of Software Systems (Fall 2018) (M-I-T)
MIT
Prof. Dr. Julian Shun
Applied Sciences
2
Lecture 11: Storage Allocation (M-I-T)
Performance Engineering of Software Systems (Fall 2018) (M-I-T)
MIT
Prof. Dr. Julian Shun
Applied Sciences
3
Lecture 12: Parallel Storage Allocation (M-I-T)
Performance Engineering of Software Systems (Fall 2018) (M-I-T)
MIT
Prof. Dr. Julian Shun
Applied Sciences
4
Lecture 13: The Cilk Runtime System (M-I-T)
Performance Engineering of Software Systems (Fall 2018) (M-I-T)
MIT
Tao B. Schardl
Applied Sciences
5
Lecture 14: Caching and Cache-Efficient Algorithms (M-I-T)
Performance Engineering of Software Systems (Fall 2018) (M-I-T)
MIT
Prof. Dr. Julian Shun
Applied Sciences
6
Lecture 15: Cache-Oblivious Algorithms (M-I-T)
Performance Engineering of Software Systems (Fall 2018) (M-I-T)
MIT
Prof. Dr. Julian Shun
Applied Sciences
7
Lecture 16: Nondeterministic Parallel Programming (M-I-T)
Performance Engineering of Software Systems (Fall 2018) (M-I-T)
MIT
Prof. Dr. Charles Leiserson
Applied Sciences
8
Lecture 17: Synchronization Without Locks (M-I-T)
Performance Engineering of Software Systems (Fall 2018) (M-I-T)
MIT
Prof. Dr. Charles Leiserson
Applied Sciences
9
Lecture 18: Domain Specific Languages and Autotuning (M-I-T)
Performance Engineering of Software Systems (Fall 2018) (M-I-T)
MIT
Prof. Dr. Saman Amarasinghe
Applied Sciences
10
Lecture 19: Leiserchess Codewalk (M-I-T)
Performance Engineering of Software Systems (Fall 2018) (M-I-T)
MIT
Prof. Dr. Helen Xu
Applied Sciences
11
Lecture 1: Introduction and Matrix Multiplication (M-I-T)
Performance Engineering of Software Systems (Fall 2018) (M-I-T)
MIT
Prof. Dr. Charles Leiserson
Applied Sciences
12
Lecture 20: Speculative Parallelism & Leiserchess (M-I-T)
Performance Engineering of Software Systems (Fall 2018) (M-I-T)
MIT
Prof. Dr. Charles Leiserson
Applied Sciences
13
Lecture 21: Tuning a TSP Algorithm (M-I-T)
Performance Engineering of Software Systems (Fall 2018) (M-I-T)
MIT
Prof. Dr. Jon Bentley
Applied Sciences
14
Lecture 22: Graph Optimization (M-I-T)
Performance Engineering of Software Systems (Fall 2018) (M-I-T)
MIT
Prof. Julian Shun
Applied Sciences
15
Lecture 23: High Performance in Dynamic Languages (M-I-T)
Performance Engineering of Software Systems (Fall 2018) (M-I-T)
MIT
Prof. Dr. Steven Johnson
Applied Sciences
16
Lecture 2: Bentley Rules for Optimizing Work (M-I-T)
Performance Engineering of Software Systems (Fall 2018) (M-I-T)
MIT
Prof. Dr. Julian Shun
Applied Sciences
17
Lecture 3: Bit Hacks (M-I-T)
Performance Engineering of Software Systems (Fall 2018) (M-I-T)
MIT
Prof. Dr. Julian Shun
Applied Sciences
18
Lecture 4: Assembly Language & Computer Architecture (M-I-T)
Performance Engineering of Software Systems (Fall 2018) (M-I-T)
MIT
Prof. Dr. Charles Leiserson
Applied Sciences
19
Lecture 5: C to Assembly (M-I-T)
Performance Engineering of Software Systems (Fall 2018) (M-I-T)
MIT
Tao B. Schardl
Applied Sciences
20
Lecture 6: Multicore Programming (M-I-T)
Performance Engineering of Software Systems (Fall 2018) (M-I-T)
MIT
Prof. Dr. Julian Shun
Applied Sciences
21
Lecture 7: Races and Parallelism (M-I-T)
Performance Engineering of Software Systems (Fall 2018) (M-I-T)
MIT
Prof. Dr. Charles Leiserson
Applied Sciences
22
Lecture 8: Analysis of Multithreaded Algorithms (M-I-T)
Performance Engineering of Software Systems (Fall 2018) (M-I-T)
MIT
Prof. Dr. Charles Leiserson
Applied Sciences
23
Lecture 9: What Compilers Can and Cannot Do (M-I-T)
Performance Engineering of Software Systems (Fall 2018) (M-I-T)
MIT
Prof. Dr. Tao B. Schardl
Applied Sciences
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