compute-shader-101
ocl
compute-shader-101 | ocl | |
---|---|---|
2 | 7 | |
1 | 695 | |
- | 1.7% | |
0.0 | 5.9 | |
over 1 year ago | about 1 month ago | |
Rust | Rust | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
compute-shader-101
- Non graphical computing on GPU
-
State of GPGPU in 2022
DJMcNab compute shader examples: A great set of examples for rust-gpu and compute shaders.
ocl
-
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
-
Non graphical computing on GPU
ocl
-
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
-
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/
-
Trying to install something using rust and really stuck, any help at all appreciated.
- https://github.com/cogciprocate/ocl/issues/202
-
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.
What are some alternatives?
rust-gpu-compute-example - Minimal example of using rust-gpu and wgpu to dispatch compute shaders written in rust.
nvfancontrol - NVidia dynamic fan control for Linux and Windows
SPIRV-LLVM-Translator - A tool and a library for bi-directional translation between SPIR-V and LLVM IR
rust-gpu - 🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧
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.
vuh - Vulkan compute for people
futhark - :boom::computer::boom: A data-parallel functional programming language
GLSL - GLSL Shading Language Issue Tracker
autograph - Machine Learning Library for Rust
RustaCUDA - Rusty wrapper for the CUDA Driver API
clspv - Clspv is a compiler for OpenCL C to Vulkan compute shaders
pyopencl - OpenCL integration for Python, plus shiny features