ZLUDA

ZLUDA lets you run unmodified CUDA applications with near-native performance on AMD GPUs.

ZLUDA is currently alpha quality, but it has been confirmed to work with a variety of native CUDA applications: Geekbench, 3DF Zephyr, Blender, Reality Capture, LAMMPS, NAMD, waifu2x, OpenFOAM, Arnold (proof of concept) and more.

interesting project that sounds like it had some promise. sounds like AMD pulled funding and the developer just dumped it on github. defacto abandoned at this time until someone else decides to pickup where it left off.

but this kind of proves how superior CUDA is at the software level than OpenCL since they had performance boosts running the adapted CUDA native code vs the existing OpenCL implementations.

also sounds like it requires the code to be compiled with PTX code, which a lot of existing CUDA code from BOINC projects is not compiled this way, including GPUGRID as far as i know. so it will require some amount of effort from application developers still (unless they happen to be shipping PTX already), which has always been the biggest challenge.
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interesting project that sounds like it had some promise. sounds like AMD pulled funding and the developer just dumped it on github. defacto abandoned at this time until someone else decides to pickup where it left off.

but this kind of proves how superior CUDA is at the software level than OpenCL since they had performance boosts running the adapted CUDA native code vs the existing OpenCL implementations.

I dunno. it seems clear. they saw better performance with this adapted CUDA implementation than with the native HIP one. I've not seen a single instance where OpenCL performed better, objectively, than CUDA. previous comparisons were always only possible on Nvidia, since AMD couldnt run CUDA. and CUDA was always faster on Nvidia.

now that AMD can run CUDA, even in this alpha state, CUDA ends up faster again.
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I've not seen a single instance where OpenCL performed better, objectively, than CUDA.

and CUDA was always faster on Nvidia.

Sounds like poor code optimization on the CUDA branch. And one of the comments on that issue suggests as much claiming the CUDA code didn’t allocate as much memory as the OpenCL variant. Not really a fair comparison.

But still you seem to be ignoring that alpha version of AMD CUDA implementation is already faster than native OpenCL and/or HIP implementations. That says a lot.
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but this kind of proves how superior CUDA is at the software level than OpenCL since they had performance boosts running the adapted CUDA native code vs the existing OpenCL implementations.

Meanwhile, Nvidia takes his countermeasures, blocking with CUDA 11.5 the porting of the code
https://twitter.com/never_released/status/1758946808183525702

Meanwhile, Nvidia takes his countermeasures, blocking with CUDA 11.5 the porting of the code
https://twitter.com/never_released/status/1758946808183525702

Your post seems to be missing some context. Blocking how? Your link doesn’t really elaborate. Do you mean only some notes in some TOS somewhere? And CUDA 11.5? That’s 2.5 years old.

Blocking how?

but again. that was more than 2 years ago. and ZLUDA is working fine with all recent CUDA releases.

this is just words in the TOS, and was probably there before this guys even ported ZLUDA to AMD, and obviously didnt stop it. it's not actively "blocking" anything.
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