SimpleOpenCLSamples
Simple OpenCL Samples that Build with Khronos Headers and Libs (by bashbaug)
OpenCL-Wrapper
OpenCL is the most powerful programming language ever created. Yet the OpenCL C++ bindings are cumbersome and the code overhead prevents many people from getting started. I created this lightweight OpenCL-Wrapper to greatly simplify OpenCL software development with C++ while keeping functionality and performance. (by ProjectPhysX)
| SimpleOpenCLSamples | OpenCL-Wrapper | |
|---|---|---|
| 7 | 7 | |
| 76 | 257 | |
| - | - | |
| 7.0 | 6.4 | |
| 18 days ago | 3 months ago | |
| C++ | C++ | |
| MIT License | 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.
SimpleOpenCLSamples
Posts with mentions or reviews of SimpleOpenCLSamples.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-27.
-
In the next 5 years, what do you think can push OpenCL adoption?
https://github.com/bashbaug/SimpleOpenCLSamples/tree/main/samples/usm - some USM samples, including several linked list samples.
- OpenCL 3.0.12 Released With Command Buffers Mutable Dispatch Extension and Enhanced Layers Support
-
Why are there lack of opencl tutorial?
Selfishly, my own SimpleOpenCLSamples repo: https://github.com/bashbaug/SimpleOpenCLSamples
- Cant get OpenCL to run
-
Profiling OpenCL code
We use the OpenCL Intercept Layer extensively. It's open-source, vendor-independent, and cross-platform. I wrote a tutorial to demonstrate common usages, if you want to see what it can do.
- I want to learn OpenCL but don't know where to start
- Any materials or samples on opencl 3.0?
OpenCL-Wrapper
Posts with mentions or reviews of OpenCL-Wrapper.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-24.
-
What 8x AMD Instinct MI200 GPUs can do with a combined 512GB VRAM: Bell 222 Helicopter in FluidX3D CFD - 10 Billion Cells, 75k Time Steps, 71TB vizualized - 6.4 hours compute+rendering with OpenCL
In case you go with OpenCL, start here: https://github.com/ProjectPhysX/OpenCL-Wrapper
-
In the next 5 years, what do you think can push OpenCL adoption?
I've also open-sourced an OpenCL-Wrapper to eliminate all of the boilerplate code that otherwise comes with the OpenCL C++ bindings and lower the entry barrier. Especially for larger projects, the biolerplate code becomes really offputting, and I solved it entirely.
-
What's your main programming language?
Somewhat unusual these days, but I mainly use OpenCL C. It's seems cumbersome and hard to learn at first, but becomes much more easy to use with the right tools. Once you master it, it whipes the floor with CPU programming; it's not unusual to see 100x speedup on a GPU compared to multithreaded CPU code at the same energy consumption. It's just as fast as CUDA - as efficient as the microarchitecture allows - but compatible with literally all GPU/CPU hardware of the last decade. No need to waste time on code porting if the next supercomputer has GPUs from a different vendor, it just runs out-of-the-box. Ideal for scientific compute!
-
How do you allocate more than 4GB of memory for OpenCL in A770 16GB?
I added this to my OpenCL-Wrapper in this commit, so anything built on top of it, such as FluidX3D, works on Arc out-of-the-box. Additionally, I fixed Intel's wrong VRAM capacity reporting on Arc in this patch.
-
New project - Which framework/libraries to use ?
Try OpenCL. You only need to implement the code once (in a vectorized form) and it works cross-platform on all GPUs and all CPUs, even on FPGAs. Performance is exactly as good as CUDA. There is still no rivaling framework today, although SYCL is starting to become a viable alternative.
- Want to to learn OpenCL on C++ without the painful clutter that comes with the C++ bindings? My lightweight OpenCL-Wrapper makes it super simple. Automatically select the fastest GPU in 1 line. Create Host+Device Buffers and Kernels in 1 line. It even automatically tracks Device memory allocation.
-
Most user friendly way to write OpenCL kernels.
I have found that OpenCL-Wrapper from PhysX has a great solution to this : https://github.com/ProjectPhysX/OpenCL-Wrapper/
What are some alternatives?
When comparing SimpleOpenCLSamples and OpenCL-Wrapper you can also consider the following projects:
OpenCL-Guide - A guide to help developers get up and running quickly with the OpenCL programming framework
FluidX3D - The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL.
OpenCL-examples - Simple OpenCL examples for exploiting GPU computing
Boost.Compute - A C++ GPU Computing Library for OpenCL
intel-extension-for-tensorflow - Intel® Extension for TensorFlow*
opencl-intercept-layer - Intercept Layer for Debugging and Analyzing OpenCL Applications
dolfinx - Next generation FEniCS problem solving environment
nvidia-opencl-examples
VectorVisor - VectorVisor is a vectorizing binary translator for GPUs, designed to make it easy to run many copies of a single-threaded WebAssembly program in parallel using GPUs
ArrayFire - ArrayFire: a general purpose GPU library.
cccl - CUDA C++ Core Libraries
SimpleOpenCLSamples vs OpenCL-Guide
OpenCL-Wrapper vs FluidX3D
SimpleOpenCLSamples vs FluidX3D
OpenCL-Wrapper vs OpenCL-examples
SimpleOpenCLSamples vs Boost.Compute
OpenCL-Wrapper vs intel-extension-for-tensorflow
SimpleOpenCLSamples vs opencl-intercept-layer
OpenCL-Wrapper vs dolfinx
SimpleOpenCLSamples vs nvidia-opencl-examples
OpenCL-Wrapper vs VectorVisor
SimpleOpenCLSamples vs ArrayFire
OpenCL-Wrapper vs cccl