OpenCL-CLHPP
Khronos OpenCL-CLHPP (by KhronosGroup)
ocl
OpenCL for Rust (by cogciprocate)
| OpenCL-CLHPP | ocl | |
|---|---|---|
| 5 | 7 | |
| 350 | 694 | |
| 0.9% | 1.6% | |
| 6.5 | 5.9 | |
| 7 days ago | 26 days ago | |
| C++ | Rust | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
OpenCL-CLHPP
Posts with mentions or reviews of OpenCL-CLHPP.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-18.
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Khronos Group releases OpenCL 3.0.14 update
Khronos has today released the OpenCL 3.0.14 maintenance update that introduces a new cl_khr_command_buffer_multi_device provisional extension that enables execution of a heterogeneous command-buffers across multiple devices. This release also includes significant improvements to the OpenCL C++ Bindings, a new code generation framework for the OpenCL extension headers, and the usual clarifications and bug fixes. The new specifications can be downloaded from the OpenCL Registry.
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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
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Conference: SYCL and IWOCL
opencl.hpp from https://github.com/KhronosGroup/OpenCL-CLHPP evolved from the C++ wrapper API that Ben Gaster started at AMD and I continued evolving. That work has continued since. It is a wrapper for the OpenCL runtime API, but the kernel side code is provided as kernel strings or SPIRV blobs through that API.
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Getting Started
I was actually writing my own application in C++. I got the OpenCL CLHPP library downloaded. Wish me luck.
ocl
Posts with mentions or reviews of ocl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-11.
-
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.
What are some alternatives?
When comparing OpenCL-CLHPP and ocl you can also consider the following projects:
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.
nvfancontrol - NVidia dynamic fan control for Linux and Windows
OpenCL-SDK - OpenCL SDK
rust-gpu - 🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧
pyopencl - OpenCL integration for Python, plus shiny features
vuh - Vulkan compute for people
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
clvk - Implementation of OpenCL 3.0 on Vulkan