https://github.com/jakobnissen/hardware_introduction

What scientific programmers must know about CPUs and RAM to write fast code.
https://github.com/jakobnissen/hardware_introduction

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What scientific programmers must know about CPUs and RAM to write fast code.

• Host: GitHub
• URL: https://github.com/jakobnissen/hardware_introduction
• Owner: jakobnissen
• Created: 2020-04-14T13:38:31.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2023-11-14T10:07:16.000Z (12 months ago)
• Last Synced: 2024-08-01T16:45:18.926Z (3 months ago)
• Language: Julia
• Homepage:
• Size: 578 KB
• Stars: 427
• Watchers: 19
• Forks: 36
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# What scientists must know about hardware to write fast code

This document is hosted at https://viralinstruction.com/posts/hardware/

It is written as a [Pluto notebook](https://plutojl.org). If you can, I recommend running the code in a Pluto notebook so you can play around with it and learn. Alternatively, you can read the HTML file in your browser.

PRs are welcome.

### This notebook covers:

* Why you must limit your disk read/writes

* What a CPU cache is, and how to use it effectively

* Memory alignment

* How to read assembly code and why you must do it

* Why you should reduce allocations

* Why immutable datastructures usually are fastest

* SIMD vectorization

* Struct of arrays vs array of structs

* Specialized CPU instructions

* Function inlining

* Loop unrolling

* Branch prediction

* The effects of memory dependencies in the CPU pipeline

* Multithreading

* Why GPUs are fast at some things and slow at others