Create "Learn performance" page with resources

[behoppe]

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.

[behoppe]

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

[behoppe]

The good folks at CSinParallel have created https://www.learnpdc.org/, which features https://www.learnpdc.org/PDCBeginners/ -- a complete online introductory textbook about parallel and distributed computing, with executable examples in OpenMP/C.

Across learnpdc, the work is very modular and explicitly integrated with well-established principles of teaching PDC.

[behoppe]

Edit: add LLNL Intro to parallel computing tutorial to compilation above

[behoppe]

Edit: merged content from this thread, Masters thesis on OpenCilk

[behoppe]

Edit: add https://www.amazon.com/Art-Multiprocessor-Programming-Maurice-Herlihy/dp/0124159508/. This is the textbook for MIT 6.5080.