mathworkersjs.org mathworkersjs.org

mathworkersjs.org

MathWorkersJS

MathWorkersJS, parallel, JavaScript, math, library, web workers, concurrent

http://www.mathworkersjs.org/

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MathWorkersJS | mathworkersjs.org Reviews
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MathWorkersJS, parallel, JavaScript, math, library, web workers, concurrent
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MathWorkersJS | mathworkersjs.org Reviews

https://mathworkersjs.org

MathWorkersJS, parallel, JavaScript, math, library, web workers, concurrent

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mathworkersjs.org mathworkersjs.org
1

MathWorkersJS

http://www.mathworkersjs.org/download

MathWorkersJS can be obtained in the following ways:.

2

MathWorkersJS

http://www.mathworkersjs.org/documentation

Once MathWorkersJS gets some more packages implemented, I will provide documentation on them individually. But, for now, please use the JSDocs for the API. MathWorkersJS uses a Coordinator-Worker paradigm for parallelism, which HTML5 Web Workers lends itself to naturally. On creation of a Coordinator, MathWorkersJS initializes a Worker pool of a specified size. A Worker in MathWorkersJS is (surprise! This is a very important feature! Because the MathWorker code is executed by all members of the pool, tha...

3

JSDoc: Index

http://www.mathworkersjs.org/static/doc/index.html

An open-source parallel JavaScript math library built around HTML5 web workers. Return to mathworkersjs.org. Source code on Github. Adrian W. Lange. Adrian W. Lange. Documentation generated by JSDoc 3.3.0-alpha9. On Mon Nov 10 2014 22:11:39 GMT-0600 (CST).

4

MathWorkersJS

http://www.mathworkersjs.org/performance

More examples to come! This is the example walked through in the Quick Start. Which is a 2000 by 2000 Matrix multiplied by a Vector of length 2000. The operation is repeated 100 times to minimize statistical fluctuation. With 4 workers, MathWorkersJS tends to display about a 2-3x speedup relative to the single worker in this example. Tests of this example on mobile device browsers seem to especially benefit!

5

MathWorkersJS

http://www.mathworkersjs.org/quickstart

In this guide, we'll go through writing the code to perform a simple matrix-vector product in parallel with MathWorkersJS in a browser. Part 1: The scaffolding. Part 2: The matrix-vector product in serial. Part 3: The parallel scaffolding. Part 4: The matrix-vector product in parallel. Part 5: Performance on a bigger parallel matrix-vector product. Part 1: The scaffolding. Let's get started by writing a super simple HTML web page that displays "hello world":. Part 2: The matrix-vector product in serial.

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adrianlange.com adrianlange.com

tinkering around | blog

http://www.adrianlange.com/blog/7

A blog about coding and stuff. Sun Nov 09 2014. For the past month or so, I've been writing a JavaScript math library, and today, I'm announcing it! You can check out the source code on my GitHub page. I've also been working on building an accompanying web site to document and show off MathWorkersJS. You can visit it here: mathworkersjs.org.

github.com github.com

GitHub - awlange/mathworkers: A parallel JavaScript math and statistics library built around HTML5 Web Workers and Node.js cluster

https://github.com/awlange/mathworkers

A parallel JavaScript math and statistics library built around HTML5 Web Workers and Node.js cluster. Http:/ www.mathworkersjs.org/. Use Git or checkout with SVN using the web URL. Cannot retrieve the latest commit at this time. Failed to load latest commit information. A parallel JavaScript math and statistics library built around HTML5 Web Workers and Node.js cluster. Note: A new version of MathWorkersJS is currently under development on the v2 branch. A JavaScript library by Adrian W. Lange. To perfor...

adrianlange.com adrianlange.com

tinkering around | blog

http://www.adrianlange.com/blog/8

A blog about coding and stuff. MathWorkersJS: Now with Node.js. Sun Jan 18 2015. Something I've been meaning to do since the beginning of writing MathWorkersJS. Has been to make the library work both in the browser and server-side via Node.js. Well, I hunkered down and did it. The tricky piece of integrating MathWorkersJS with Node.js was to figure out how to take advantage of the cluster module. Working, make an npm. Package, and then do whatever bower. Does ugh. I hardly know how to do any of this.

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MathWorkersJS

MathWorkersJS is a parallel JavaScript math and statistics library built around HTML5 Web Workers and the Node.js cluster module. MathWorkersJS can speed up the performance of in-browser/client-side computations on computers with multi-core processors by distributing computational load among a pool of workers which execute in parallel. On the client-side, MathWorkersJS parallelizes in the browser via HTML5 Web Workers. On the server-side, MathWorkersJS parallelizes via the cluster module. Var v = MathWor...

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