behoppe
commented
1 year ago Tutorials
- LLNL Intro to parallel computing
- Performance ninja class by Denis Bakhvalov
- Programming parallel computers by Jukka Suomela https://youtu.be/_e4-3IXcoPw
- The National Energy Research Scientific Computing Center (NERSC) hosts a public library of presentation materials from its past trainings and tutorials on computing.
- ORNL
Books
- The Art of Multiprocessor Programming by Herlihy et al
- Algorithms for Modern Hardware by Sergey Slotin
- Performance Analysis and Tuning on Modern CPUs by Denis Bakhvalov
- Performance solutions by Connie Smith http://www.perfeng.com/classic-site/psbook.htm
- Parallel computing for beginners by CSinParallel
- Parallel computing e-book by Johns Hopkins EN 601.420/620 parallel computing for data science
- Patterns for Parallel Programming
- Our Pattern Language by UC Berkeley
- Structured Parallel Programming: Patterns for Efficient Computation
- Patterns of Parallel Programming with .NET
- Programming models for parallel computing
Issues The website has a 'teach performance' page dedicated to teaching performance engineering, and a 'resources' page dedicated to software that uses OpenCilk, but it lacks a page dedicated to learning performance engineering.
Improvements We might call the page "Learn performance" and structure it like numpy.org/learn or julialang.org/learning.
Let's use this thread to collect resources to include on the Learn performance page.