gpuweb
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gpuweb | krustlet | |
---|---|---|
56 | 21 | |
4,533 | 3,521 | |
2.1% | 0.1% | |
9.0 | 3.1 | |
9 days ago | 6 months ago | |
Bikeshed | Rust | |
GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
gpuweb
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WebGPU now available for testing in Safari Technology Preview
People keep spreading this incredibly misleading statement, and yours is even more misleading (suggesting Apple opposed a 'GPU WASM')
By all accounts, Apple's /only/ stance was that if WebGPU used SPIR-V it would be a non-starter for them, due to ongoing legal issues between Apple and Khronos.
Apple actually proposed WebHLSL in collaboration with Microsoft, to have HLSL be the standard.
Mozilla employee's stance[0] was that SPIRV was too low level, did not fit with the goals of WebGPU portability and security, and expressed concern that Khronos may add functionality to SPIRV they cannot support in WebGPU like raytracing instructions .. 'So we'd always be on the verge of forking SPIR-V in some way.'
It was also noted by many people that even if a bytecode format was used, it would still have to be translated to the target (HLSL/DXIL, MSL, etc.) in almost the same way a text format would.
Nobody proposed a 'GPU WASM equivalent' or an alternative bytecode format.
The hard truth is that shader compilation is a fucking nightmare, people do not realize how bad it is across the different native APIs. SPIR-V is good, but it doesn't solve that - and presents other challenges if you are a web browser API. Vulkan and SPIRV are not the golden goose many make them out to be.
[0] https://github.com/gpuweb/gpuweb/issues/847#issuecomment-642...
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Show HN: WebGPU Particles Simulation
Yes it is still a bit new. WebGPU is not finished and is still being worked on: https://webgpu.io/
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Capturing the WebGPU Ecosystem
There's a proposal for a "WebGPU compatibility mode" which also works on older devices:
WebGPU currently doesn't support the "bindless" resource access model (see: https://github.com/gpuweb/gpuweb/issues/380).
The "max number of sampled texture per shader stage" is a runtime device limit, and the minimal value for that seems to be 16. So texture atlasses are still a thing in WebGPU.
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Why aren't we using highly efficient int8 calcualtions in quants? (maybe eli14?)
There's even an implementation under discussion to have the dp4a instruction added to WebGPU (https://github.com/gpuweb/gpuweb/issues/2677)
- WebGPU – All of the cores, none of the canvas
- [Rust_Gamedev] WGSL est-il un bon choix?
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I want to talk about WebGPU
Shared memory, yes, with the goodies: atomics and barriers. We rely on that heavily in Vello, so we've pushed very hard on it. For example, WebGPU introduces the "workgroupUniformLoad" built-in, which lets you broadcast a value to all threads in the workgroup while not introducing potential unsafety.
Tensor cores: I can't say there are plans to add it, but it's certainly something I would like to see. You need subgroups in place first, and there's been quite a bit of discussion[1] on that as a likely extension post-1.0.
- Chrome ships WebGPU (available by default in Chrome 113)
krustlet
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WASM Instructions
Oh it’s certainly looking like that IMO.
You can run wasm in k8s: https://krustlet.dev/
Docker itself can run wasm: https://wasmlabs.dev/articles/docker-without-containers/
There are a few serverless runtimes based on wasm: https://wasmcloud.com/
A lot of those are powered by wasmtime or WasmEdge.
If you’re wanting to be able to just pull down a random app and run it as wasm, that’s inherently harder with wasm, because you have to recompile, and amazing compiling stuff is always harder than it should be. For example I compiled jq to wasm to other day, so you dont have to worry (as much) about the CVEs that was issued recently. https://github.com/rockwotj/jq-wasi
- The advantage of WASM compared with container runtimes
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Crafting container images without Dockerfiles
It can, kubevirt is a project for running VMs https://kubevirt.io/ and there have been more esoteric things like WASM (https://github.com/krustlet/krustlet).
- The Python Paradox
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I Don’t wanna use Docker or kubernetes
Or you can run Krustlet instead of Kubelet. That makes it so you can only run WebAssembly on the cluster - so no Go, no Python, only Rust!
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Why did the Krustlet project die?
But the project seems to have died: https://github.com/krustlet/krustlet/graphs/contributors
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Does anybody have a use-case for Scala WASM compilation target?
There are some cloud providers that are starting to offer wasm support. Docker is currently working on wasm https://docs.docker.com/desktop/wasm/ There is also krustlet https://krustlet.dev/ which lets you run wasm in kubernetes
- How I got involved in the Rust community
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Are V8 isolates the future of computing?
> If one writes Go or Rust, there are much better ways to run them than targeting WASM
wasm has its place, especially for contained workloads that can be wrapped in its strict capability boundaries (think, file-encoding jobs that shouldn't access anything else but said files: https://news.ycombinator.com/item?id=29112713).
> Containers are still the defacto standard.
wasmedge [0], atmo [1], krustlet [2], blueboat [3] and numerous other projects are turning up the heat [4]!
[0] https://github.com/WasmEdge/WasmEdge
[1] https://github.com/suborbital/atmo
[2] https://github.com/krustlet/krustlet
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Would docker be faster if it were written in rust?
The kubernetes developers have already written things in rust, like krustlet - a alternative for kubelet that runs wasm images rather than containers. And the devs for it have said a lot of good things about rust vs go for large projects like kube.
What are some alternatives?
wgsl.vim - WGSL syntax highlight for vim
pyodide - Pyodide is a Python distribution for the browser and Node.js based on WebAssembly
miniflare - 🔥 Fully-local simulator for Cloudflare Workers. For the latest version, see https://github.com/cloudflare/workers-sdk/tree/main/packages/miniflare.
noclip.website - A digital museum of video game levels
BestBuy-GPU-Bot - BestBuy Bot is an Add to cart and Auto Checkout Bot. This auto buying bot can search the item repeatedly on the ITEM page using one keyword. Once the desired item is available it can add to cart and checkout very fast. This auto purchasing BestBuy Bot can work on Firefox Browser so it can run in all Operating Systems. It can run for multiple items simultaneously.
wgpu-rs - Rust bindings to wgpu native library
WASI - WebAssembly System Interface
naga - Universal shader translation in Rust
youki - A container runtime written in Rust
webgpu-wgsl-hello-triangle - An example of how to render a triangle with WebGPU using WebGPU Shading Language - the "Hello world!" of computer graphics.
yew - Rust / Wasm framework for creating reliable and efficient web applications
brython - Brython (Browser Python) is an implementation of Python 3 running in the browser