chipStar
Deepspeed-Windows
| chipStar | Deepspeed-Windows | |
|---|---|---|
| 4 | 1 | |
| 147 | 19 | |
| 4.8% | - | |
| 9.7 | 7.6 | |
| 7 days ago | 2 months ago | |
| C++ | C++ | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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.
chipStar
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AMD Funded a Drop-In CUDA Implementation Built on ROCm: It's Open-Source
There is already a work-in-progress implementation of HIP on top of OpenCL https://github.com/CHIP-SPV/chipStar and the Mesa RustiCL folks are quite interested in getting that to run on top of Vulkan.
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Vcc – The Vulkan Clang Compiler
chipStar (formerly CHIP-SPV) might also be worth checking out: https://github.com/CHIP-SPV/chipStar
It compiles CUDA/HIP C++ to SPIR-V that can run on top of OpenCL or Level Zero. (It does require OpenCL's compute flavored SPIR-V, instead of graphics flavored SPIR-V as seen in OpenGL or Vulkan. I also think it requires some OpenCL extensions that are currently exclusive to Intel NEO, but should on paper be coming to Mesa's rusticl implementation too.
- ChipStar: Run CUDA/Hip on SPIR-V via OpenCL/Level Zero
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In the next 5 years, what do you think can push OpenCL adoption?
Regarding the second item (CUDA to OpenCL), have a look at hipstar: https://github.com/CHIP-SPV/hipstar
Deepspeed-Windows
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AMD Funded a Drop-In CUDA Implementation Built on ROCm: It's Open-Source
I just went through this this weekend - If you're running in Windows and want to use deepspeed, you have to still use Cuda 12.1 because deepspeed 13.1 is the latest that works with 12.1. There's no deepspeed for windows that works with 12.3.
I tried to get it working this weekend but it was a huge PITA so I switched to putting everything into WSL2 then in arch on there pytorch etc in containers so I could flip versions easily.
I'm still working on that part, halfway into it my WSL2 completely broke and I had to reinstall windows. The p9 networking stopped working.
https://github.com/S95Sedan/Deepspeed-Windows
What are some alternatives?
FluidX3D - The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL.
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
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.
ROCm - ROCm Website [Moved to: https://github.com/ROCm/ROCm.github.io]
Cgml - GPU-targeted vendor-agnostic AI library for Windows, and Mistral model implementation.
Sunshine - Self-hosted game stream host for Moonlight.
hipDNN - A thin wrapper around miOpen and cuDNN
llvm - Intel staging area for llvm.org contribution. Home for Intel LLVM-based projects.