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1. Introduction and Matrix Multiplication
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1. Introduction and Matrix Multiplication
Professor of Computer Science and Engineering (Co-author of CLRS)
This inaugural lecture for MIT's 6.172 course introduces performance engineering principles through an examination of code optimization, specifically contrasting matrix multiplication implementations in Python, Java, and C.
MIT 6.172 Performance Engineering of Software Systems, Fall 2018
Instructor: Charles Leiserson
View the complete course: https://ocw.mit.edu/6-172F18
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63VIBQVWguXxZZi0566y7Wf
Digital Design and Computer Architecture - L2: Combinational Logic (Spring 2025)
Next · Step 42. Bentley Rules for Optimizing Work