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ocl | vuh | |
---|---|---|
7 | 3 | |
694 | 340 | |
3.0% | - | |
5.9 | 2.8 | |
22 days ago | 7 months ago | |
Rust | C++ | |
GNU General Public License v3.0 or later | MIT License |
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.
ocl
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An example for OpenCL 3.0?
Please note that OpenCL consists of two parts: host API and a separate language which is used to write kernels (code which is going to be offloaded to devices). OpenCL specification describes host APIs as C-style APIs and that is what implementors has to provide. However, there are number of various libraries which provides bindings for other languages: - C++ - Python - Go - Rust
- Any OpenCL + Rust Guides
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Non graphical computing on GPU
ocl
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Resources for Vulkan GPGPU searched
I don't know a lot about Rust, but this looks like a valid set of OpenCL bindings for Rust: https://github.com/cogciprocate/ocl
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What's the current state of GPU compute in rust?
If you prefer an open alternative to CUDA, there are complete, easy to use und well documented bindings for opencl: https://github.com/cogciprocate/ocl/
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Trying to install something using rust and really stuck, any help at all appreciated.
- https://github.com/cogciprocate/ocl/issues/202
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Making an algorithmic trading bot in Rust?
I use Rust with OpenCL (ocl). And I am still in college studying CS. It takes a while to setup OpenCL depending on what you want to do with it. But performance benefits are well worth it. On average I can backtest 4 years of data with 1 minute candles in about 8.745 ms for typical RSI indicator. This is done on i5-3320m CPU (not iGPU). Took me a year to build it. Was also learning rust with it. My project has many features so you probably can do it in half amount of time or even less. Currently the project has 21k in Rust and 2k lines in OpenCL.
vuh
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GLSL shaders for OpenCL
The only one that is relatively lightweight (and doesn't have dependencies) is vuh (https://github.com/Glavnokoman/vuh) that looks unsupported.
- Resources for Vulkan GPGPU searched
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Blender 3.0 takes support for AMD GPUs to the next level
Don't try to use it directly, you need a higher level library.
https://github.com/KomputeProject/kompute seems like what's taking off. There are also smaller ones like https://github.com/Glavnokoman/vuh etc.
What are some alternatives?
nvfancontrol - NVidia dynamic fan control for Linux and Windows
GLSL - GLSL Shading Language Issue Tracker
rust-gpu - 🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧
liblava - Modern and easy-to-use library for Vulkan
autograph - Machine Learning Library for Rust
cuda-api-wrappers - Thin C++-flavored header-only wrappers for core CUDA APIs: Runtime, Driver, NVRTC, NVTX.
RustaCUDA - Rusty wrapper for the CUDA Driver API
kompute - General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.
clspv - Clspv is a compiler for OpenCL C to Vulkan compute shaders
uVkCompute - A micro Vulkan compute pipeline and a collection of benchmarking compute shaders