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Gpu.js – GPU Accelerated JavaScript
11–20 of 84 posts
Re: Gpu.js – GPU Accelerated JavaScript
#12One thing that might be helpful is if you linked to the Github repo on the site: https://github.com/gpujs/gpu.js. Especially for a project like this, high-performance computing, I'm gonna want to look at the code before I trust it.
Re: Gpu.js – GPU Accelerated JavaScript
#13Next steps: A computational graph based deep learning system with a Tensorflow like API on Javascript/Node lala-land.
https://github.com/tqchen/tinyflow would be a great showcase (and useful) project to port for Gpu.js
Re: Gpu.js – GPU Accelerated JavaScript
#14How does this compare to Turbo.js?
Re: Gpu.js – GPU Accelerated JavaScript
#15v0.0 Alpha My project manager just hear "So, you're saying this is production-ready? Great!"
Hi!
Did you run the benchmark? I did. It shows 60x faster speed.
I'd like you to close your IDE and start integrating our web site with Stripe to start taking payment. I want the order page up by 5 PM. I'll give you the pricing information by then.
Also can you bump the displayed version to 5.1, it just feels more mature?
Good job getting this out the door, now let's start making some money so we can pay your salary.
Re: Gpu.js – GPU Accelerated JavaScript
#16I am curious, how does it get an AST from the JS, and compiles it to compute kernels?
Re: Gpu.js – GPU Accelerated JavaScript
#17This is cool
Re: Gpu.js – GPU Accelerated JavaScript
#18Is js via gpu (WebGL i assume) already efficient enough to make the concept of "computation time instead of banners" finally viable?
Re: Gpu.js – GPU Accelerated JavaScript
#19Things like this make me fear banner ads mining bitcoins (not that they aren't already).
Re: Gpu.js – GPU Accelerated JavaScript
#20v0.0 Alpha My project manager just hear "So, you're saying this is production-ready? Great!"
> Made under 24 hours for a NUS Hackers hackathon, out of 68 competing projects It's not meant to be production ready
I've been watching this project for over a year. There is quite a bit of work and care put into it.
https://github.com/gpujs/gpu.js/graphs/contributors