While there have been efforts by AMD over the years to make it easier to port codebases targeting NVIDIA’s CUDA API to run atop HIP/ROCm, it still requires work on the part of developers.
The tooling has improved such as with HIPIFY to help in auto-generating but it isn’t any simple, instant, and guaranteed solution – especially if striving for optimal performance.
In practice for many real-world workloads, it’s a solution for end-users to run CUDA-enabled software without any developer intervention.
Here is more information on this “skunkworks” project that is now available as open-source along with some of my own testing and performance benchmarks of this CUDA implementation built for Radeon GPUs.
For reasons unknown to me, AMD decided this year to discontinue funding the effort and not release it as any software product.
Andrzej Janik reached out and provided access to the new ZLUDA implementation for AMD ROCm to allow me to test it out and benchmark it in advance of today’s planned public announcement.
The original article contains 617 words, the summary contains 167 words. Saved 73%. I’m a bot and I’m open source!
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This is the best summary I could come up with:
While there have been efforts by AMD over the years to make it easier to port codebases targeting NVIDIA’s CUDA API to run atop HIP/ROCm, it still requires work on the part of developers.
The tooling has improved such as with HIPIFY to help in auto-generating but it isn’t any simple, instant, and guaranteed solution – especially if striving for optimal performance.
In practice for many real-world workloads, it’s a solution for end-users to run CUDA-enabled software without any developer intervention.
Here is more information on this “skunkworks” project that is now available as open-source along with some of my own testing and performance benchmarks of this CUDA implementation built for Radeon GPUs.
For reasons unknown to me, AMD decided this year to discontinue funding the effort and not release it as any software product.
Andrzej Janik reached out and provided access to the new ZLUDA implementation for AMD ROCm to allow me to test it out and benchmark it in advance of today’s planned public announcement.
The original article contains 617 words, the summary contains 167 words. Saved 73%. I’m a bot and I’m open source!