https://github.com/ethan-arrowood/multithreading-mmap-example

A stand alone example of multithreading and mmap to modify the contents of a file
https://github.com/ethan-arrowood/multithreading-mmap-example

Last synced: 9 days ago
JSON representation

A stand alone example of multithreading and mmap to modify the contents of a file

• Host: GitHub
• URL: https://github.com/ethan-arrowood/multithreading-mmap-example
• Owner: Ethan-Arrowood
• Created: 2018-11-30T08:36:52.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2018-11-30T08:50:41.000Z (about 6 years ago)
• Last Synced: 2024-10-05T17:42:27.275Z (3 months ago)
• Language: JavaScript
• Size: 3.91 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Multithreading MMap Example

A stand alone example of modifying the contents of a file using memory mapping and multithreading.

This project is currently set up to *only run on Unix based operating systems.* I have only tested this on macOS.

It uses Node.js experimental feature `worker-threads`

Run this project with:

```

git clone https://github.com/Ethan-Arrowood/multithreading-mmap-example

cd multithreading-mmap-example

npm install

npm run start

```

Works best on Node `v10.8.0` as this was the latest version of node the `mmap-io` package was update for. It will work with all Node version after that one though (I've tried it myself on `v11.2.0`). I plan on contributing back to `mmap-io` at the conclusion of this project so that it builds without warnings on `v11.*`.

Many hours were spent achieving this example. It is not the best representation of multithreading capabilities; however, it is the foundation for a more complex program I am working on.

*Why* = I am currently working on a final project submission for a university course. To no surprise, it requires the use of multithreading and memory mapping. I decided to complete this project in JavaScript instead of C because I wanted to see what the low-level possibilities are of a high-level language. Processing speed was not a project requirement, only proper use of multithreading and memory mapping.