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AMD Quietly Funded A Drop-In CUDA Implementation Constructed On ROCm: It is Now Open-Supply

AMD Quietly Funded A Drop-In CUDA Implementation Constructed On ROCm: It is Now Open-Supply

2024-02-12 08:00:35

Whereas there have been efforts by AMD over time to make it simpler to port codebases concentrating on NVIDIA’s CUDA API to run atop HIP/ROCm, it nonetheless requires work on the a part of builders. The tooling has improved reminiscent of with HIPIFY to assist in auto-generating however it is not any easy, prompt, and assured resolution — particularly if striving for optimum efficiency. Over the previous two years AMD has quietly been funding an effort although to carry binary compatibility in order that many NVIDIA CUDA purposes may run atop the AMD ROCm stack on the library degree — a drop-in alternative with out the necessity to adapt supply code. In observe for a lot of real-world workloads, it is a resolution for end-users to run CUDA-enabled software program with none developer intervention. Right here is extra data on this “skunkworks” undertaking that’s now obtainable as open-source together with a few of my very own testing and efficiency benchmarks of this CUDA implementation constructed for Radeon GPUs.

Radeon GPU running CUDA Blender

From a number of years in the past you might recall ZLUDA that was for enabling CUDA support on Intel graphics. That open-source undertaking aimed to offer a drop-in CUDA implementation on Intel graphics constructed atop Intel oneAPI Stage Zero. ZLUDA was discontinued on account of personal causes however it seems that the developer behind that (and who was additionally employed by Intel on the time), Andrzej Janik, was contracted by AMD in 2022 to successfully adapt ZLUDA to be used on AMD GPUs with HIP/ROCm. Previous to being contracted by AMD, Intel was contemplating ZLUDA growth. Nevertheless, they finally turned down the concept and didn’t present funding for the undertaking.

Radeon GPU with CUDA-Z on Linux

Andrzej Janik spent the previous two years bringing ZLUDA to Radeon GPUs and it really works: many CUDA software program can run on HIP/ROCm with none modifications — or different processes… Simply run the binaries as you usually would whereas making certain that the ZLUDA library replacements to CUDA are loaded. For causes unknown to me, AMD determined this yr to discontinue funding the hassle and never launch it as any software program product. However the excellent news was that there was a clause in case of this eventuality: Janik may open-source the work if/when the contract ended.

Radeon ZLUDA Git commit

Andrzej Janik reached out and offered entry to the brand new ZLUDA implementation for AMD ROCm to permit me to try it out and benchmark it prematurely of as we speak’s deliberate public announcement. I have been testing it out for just a few days and it has been a constructive expertise: CUDA-enabled software program certainly working atop ROCm and with none modifications. Even proprietary renderers and the like working with this “CUDA on Radeon” implementation.

The ZLUDA implementation although is not 100% fail-safe as NVIDIA OptiX assist not being totally supported and a few options reminiscent of software program not utilizing PTX meeting code is not at present dealt with. However for probably the most half this implementation is surprisingly succesful for being a single developer effort.

See Also

Radeon ZLUDA libraries

For these questioning in regards to the open-source code, it is dual-licensed below both Apache 2.0 or MIT. Rust followers will likely be excited to know the Rust programming language is leveraged for this Radeon implementation.

NOTE: In my screenshots and for the previous two years of growth the uncovered system identify for Radeon GPUs through CUDA has simply been “Graphics Machine” fairly than the precise AMD Radeon graphics adapter with ROCm. The explanation for this has been on account of CUDA benchmarks auto-reporting outcomes and different software program which will have automated telemetry, to keep away from leaking the actual fact of Radeon GPU use below CUDA, it has been set to the generic “Graphics Machine” string. I am advised as a part of as we speak’s open-sourcing of this ZLUDA on Radeon code that the change will likely be in place to reveal the precise Radeon graphics card string fairly than the generic “Graphics Machine” concealer.

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