ocl
pyopencl
Our great sponsors
| ocl | pyopencl | |
|---|---|---|
| 7 | 2 | |
| 694 | 1,029 | |
| 3.0% | - | |
| 5.9 | 7.3 | |
| 24 days ago | 7 days ago | |
| Rust | Python | |
| GNU General Public License v3.0 or later | 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.
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.
pyopencl
-
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
-
Doubts on pyopencl
I thought the project could be dead, but then I looked into the latest commits to the repository, and it is certainly not dead as a project.
What are some alternatives?
nvfancontrol - NVidia dynamic fan control for Linux and Windows
PyCUDA - CUDA integration for Python, plus shiny features
rust-gpu - 🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧
python-performance - Repository for the book Fast Python - published by Manning
vuh - Vulkan compute for people
arrayfire-python - Python bindings for ArrayFire: A general purpose GPU library.
GLSL - GLSL Shading Language Issue Tracker
inventory-hunter - ⚡️ Get notified as soon as your next CPU, GPU, or game console is in stock
autograph - Machine Learning Library for Rust
plotoptix - Data visualisation and ray tracing in Python based on OptiX 7.7 framework.
RustaCUDA - Rusty wrapper for the CUDA Driver API
LSQR-CUDA - This is a LSQR-CUDA implementation written by Lawrence Ayers under the supervision of Stefan Guthe of the GRIS institute at the Technische Universität Darmstadt. The LSQR library was authored Chris Paige and Michael Saunders.