High Performance Programming
Low level, high performance programming
Created:
Posts | Easyperf. See alsoBook: “Performance Analysis and Tuning on Modern CPUs”
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications; This book is a compilation of lecture notes from the MIT Course 18.337J/6.338J: Parallel Computing and Scientific Machine Learning.
Algorithms for Modern
Hardware - Algorithmica.org Its intended audience is everyone
from performance engineers and practical algorithm researchers to
undergraduate computer science students who have just finished an
advanced algorithms course and want to learn more practical ways to
speed up a program than by going
from
O(nlogn)O(nlogn) to O(nloglogn)O(nloglogn).
MIT 6.172 Performance Engineering of Software Systems, Fall 2018