Sparse matrices on the web-Reference-Cited by-同舟云学术

Sparse matrices on the web

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 15th International Conference on Managed Languages & Runtimes - ManLang '18
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Author:

Sandhu Prabhjot¹,Herrera David¹,Hendren Laurie¹

Affiliation:

1. McGill University, Montreal, QC, Canada

Publisher

ACM Press

Reference42 articles.

1. 2018. argon.js - A javascript framework for adding augmented reality content to web applications. https://www.argonjs.io

2. 2018. AR.js - Augmented Reality for the Web. https://github.com/jeromeetienne/ar.js

3. 2018. brain.js - Neural networks in JavaScript. https://github.com/BrainJS/brain.js

4. 2018. Features to add after the MVP. http://webassembly.org/docs/future-features

5. 2018. ml.js - A k-nearest neighboor classifier algorithm. https://github.com/mljs/knn

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3. Understanding the performance of webassembly applications;Proceedings of the 21st ACM Internet Measurement Conference;2021-11-02

4. Empowering Web Applications with WebAssembly: Are We There Yet?;2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE);2021-11

5. A Fully Structure-Driven Performance Analysis of Sparse Matrix-Vector Multiplication;Proceedings of the ACM/SPEC International Conference on Performance Engineering;2020-04-20