Sushi JavaScript Library
The Fastest Matrix Library for JavaScript
Sushi is being developed to be the fastest matrix library for JavaScript. Tempura and Soba go well with Sushi.
- Tempura (Machine Learning Library) http://github.com/mil-tokyo/tempura
- Soba (Visualization Library) http://github.com/mil-tokyo/soba
Related papers may be available ( http://mil-tokyo.github.io/miljs.html ).
Technical Features
Use of Typed Array
Faster than other matrix libraries which uses javascript array.
Support of WebCL
You can use WebCL and get at most 30 times faster calculation speed. Three implementations
- Nokia WebCL for Firefox : http://webcl.nokiaresearch.com/
- Motorola-Mobility Node WebCL for node.js : https://github.com/mikeseven/node-webcl
- Chromium-WebCL : https://github.com/amd/Chromium-WebCL
are supported.
How to Try
node.js
cd test
node main
If you want to use WebCL, install node-webcl https://github.com/mikeseven/node-webcl
Currently, WebCL is supported by node v0.10.29, node-webcl v0.8.3 or v0.9.2
try
npm install node-webcl
However, current nvidia driver only supports OpenCL 1.1, which is not compatible with node-webcl 0.9.0 or later. OpenCL 1.1 is supported by node-webcl v0.8.3, but unfortunately it have small bug. So we provide bugfix version here: https://github.com/mil-tokyo/node-webcl/tree/opencl11_fix
Simple installation:
npm install https://github.com/mil-tokyo/node-webcl/archive/opencl11_fix.tar.gz
browsers
open test/main.html with your browser. Chromium-WebCL supports WebCL without any plugins. Firefox requires Nokia WebCL ( http://webcl.nokiaresearch.com/ ) to use WebCL with it.
Please Contribute the Fastest Matrix Library
Contact me miljs@mi.t.u-tokyo.ac.jp