CUDA is NVIDIA's language for GPU programming, allowing you to mix write CPU and GPU code in C++ in one file. By chaining a few projects that compile CUDA to OpenCL, then Vulkan, then WebGPU, you can experiment with this GPGPU language on any hardware.
Ameo6 months ago
The GoL example it loaded with seemed to be running way slower than I expected it to. It turns out that there's actually a `usleep(1000 * 100)` call in the code which was inserted to make it easier to see the output; the actual kernels execute quickly and take up very little GPU time.
When I looked at the profiler, I was confused to see that one worker thread was at 100% usage the whole time it was running. At first, I thought that maybe it was actually running the code via Wasm on the CPU rather than on the GPU like it said.
Instead, it turns out that the worker was just running `emscripten_futex_wait` - which as far as I can tell is implemented by busy waiting in a loop. Probably doesn't matter for performance since I imagine that's just for the sleep call anyway.
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Altogether this is an incredibly cool tool. I'm sure there is some performance gap compared to native, but even so this is a extremely impressive and likely has a ton of potential use cases.
btown6 months ago
Thank you so much for this! I was a bit concerned that the performance on my Mac was nearly identical to my new 3090 on PC and thought I might have messed up the setup there!
_nalply6 months ago
Firefox supports WebGPU, but needs a setting in about:config. I enabled the setting but HipScript still denies running on Firefox with the message: "Please try a Chromium-based browser like Google Chrome or Microsoft Edge."
Please do feature detection, not browser detection.
lights0123op6 months ago
I do do feature detection—WebGPU is blocked on Release Firefox regardless of config, you'll need nightly. It does support Safari with its experimental mode enabled for example.
doctoboggan6 months ago
I enabled WebGPU in safari on my m1 Mac and got this error when running the GoL demo:
``` TypeError: B.values().some is not a function. (In 'B.values().some(r=>r.args.length)', 'B.values().some' is undefined) ```
EDIT: I got the same error with all three sample scripts
lights0123op6 months ago
I believe I just fixed this—JavaScriptCore doesn't have support for a recently-introduced function.
doctoboggan6 months ago
I can confirm it is working for me now, thanks!
_nalply6 months ago
OK, I installed Firefox Nightly and enabled dom.webgpu.enabled and gfx.webrender.all corresponding to this article: https://hacks.mozilla.org/2020/04/experimental-webgpu-in-fir..., but still this error message. Which config options are needed for HipScript to run on Firefox?
Edit: on Nightly `navigator.gpu` is available, I checked that in the console.
[deleted]6 months agocollapsed
syrusakbary6 months ago
This is an awesome use of WASIX [1] and the Wasmer SDK [2]. Quite exciting to see!
I recommend as well reading through the blogpost (repo on [3]): https://lights0123.com/blog/2025/01/07/hip-script/ (many things to improve on the Wasmer side... we have some work to do!)
bagels6 months ago
What an incredible demo/hack. This is actually the simplest way to actually execute CUDA code that I've seen.
btown6 months ago
Not to mention that it Just Works on Apple devices! Really, really cool.
grconner6 months ago
This is just amazing. So clean and straightforward. On a Mac just run it in Chrome see things work automagically. For real fun change the generations constant to 2000 and delete the usleep line to see this thing really cook.
Cieric6 months ago
I love the idea of this, but sadly I can't get it to work in Firefox, Chrome or Edge on my work pc, probably because I can't find "--enable-features=Vulkan" equivalent in the about:flags and the argument doesn't appear to work on windows. I'm actually a bit more curious about a standalone application that skips the webgpu part and goes straight to Vulkan as I would love to be able to experiment with some Cuda only applications.
lights0123op6 months ago
I don't currently expose the option to run the compiler if a GPU isn't detected, but on systems that do, it exposes a download option that lets you download the SPIR-V kernel to run with Vulkan.
sroussey6 months ago
I got a `Uncaught (in promise) TypeError: WebAssembly compilation aborted: Network error: Response body loading was aborted` error the first time, but after a reload it worked.
punnerud6 months ago
How performant is the CUDA code in browser compared to standalone program?
Could we have PyTorch / ML training with CUDA through the browser performing ok?
mordechai90006 months ago
Distributed large model training with web clients?
sroussey6 months ago
With 10Tb/s Internet, then sure!
saagarjha6 months ago
Well the bigger issue is that even natively I doubt there is enough performance to train anything interesting.
machinekob6 months ago
WebGPU don't have access to most accelerators in GPU so it would be super slow compared to CUDNN version but pure CUDA would be only x times times faster.
samagra146 months ago
Sounds interesting! I love all these edge experiments. But as long as there is architecture dependent code for models, I feel these edge experiments can't fully express their strong suit.
You try to run something and Voila you need Ampere or Hopper or Laplace for flash attnt.
JackYoustra6 months ago
I don't know why this never occurred to me. What a great website, glad you made it!
nullbyte6 months ago
Finally I can use my website visitors to mine dogecoins
mlepath6 months ago
This is really awesome. Tested it on both Nvidia and Mac GPUs.
Interested to know how debugging in a real application would work since WASM is pretty hard to debug and GPU code is pretty hard to debug. I assume WASM GPU is ... very difficult to debug.
saagarjha6 months ago
You can download the intermediate files fwiw
JonChesterfield6 months ago
This feels like more stages than should be necessary (something should be able to do LLVM IR direct to WebGPU) but it's great to see it running, very nice!
uncheckederror6 months ago
Impressed that this runs on my RX 6900XT (an RDNA2 GPU) in Chrome without any trouble. Very cool demo, excited to see how people leverage this capability.
ryanmerket6 months ago
Very cool. Thank you for creating this!
Lockal6 months ago
Now I wonder how long will it take to add chipStar/Clspv/Tint to https://github.com/jhuber6/doomgeneric/tree/amdgpu and run DOOM on WebGPU this time.
CharlesW6 months ago
From the "Learn More" link (https://lights0123.com/blog/2025/01/07/hip-script/):
"By chaining chipStar¹ (a HIP and NVIDIA® CUDA® to OpenCL compiler), Clspv² (an OpenCL to Vulkan compiler), and Tint³ (among others, a Vulkan shader to WebGPU shader compiler), you can run CUDA code in the browser!"
¹ https://github.com/CHIP-SPV/chipStar/ ² https://github.com/google/clspv/ ³ https://dawn.googlesource.com/dawn/+/refs/heads/main/src/tin...
[deleted]6 months agocollapsed
bloomingkales6 months ago
How is this different than web-llm?
lights0123op6 months ago
web-llm provides optimized kernels for neural network operations, and a convenient API for it. This project provides a place to experiment with CUDA, for any purpose—not necessarily for anything related to machine learning.