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developedby avatar developedby commented on July 29, 2024 48

We do plan porting to other platforms soon. We just want to first have one very solid implementation and CUDA happened to be the best/easiest to do it first.

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jlucaso1 avatar jlucaso1 commented on July 29, 2024 5

Will it be possible to run with zluda? https://github.com/vosen/ZLUDA (CUDA on AMD GPUs)

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MrAmbiG avatar MrAmbiG commented on July 29, 2024 5

Is your feature request related to a problem? Please describe. I have an AMD GPU so I cannot take advantage of the CUDA running.

Describe the solution you'd like I would love either an Open-CL or a Vulkan running mode (or both) if possible.

Describe alternatives you've considered I have tried compiling to CUDA and then running a translation layer to Open-CL but the performance isn't what I expected.

Additional context None.

I think you mean AMD ROCM. ROCM is AMD's alternative to CUDA for nvidia. vulkan is for older GPUs. so finally it should look like
bend run-ro <file.hvm> # uses the ROCM interpreter (massively parallel)

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Bjohnson131 avatar Bjohnson131 commented on July 29, 2024 4

I think you mean AMD ROCM. ROCM is AMD's alternative to CUDA for nvidia. vulkan is for older GPUs. so finally it should look like bend run-ro <file.hvm> # uses the ROCM interpreter (massively parallel)

You may be mistaken- Vulkan as a standard was released 8 years ago, and modern drivers only coming out in 2019 or later. (https://en.wikipedia.org/wiki/Vulkan)

On ROCm, it is not what we want. ROCm is a software stack specifically for AMD Graphics cards. CUDA, on the other hand is not a software stack. AMD's equivalent to Nvidia's CUDA is indeed OpenCL, or alternatively Vulkan. Vulkan specializes in graphics, where OpenCL is more general.

In any case fwiw OpenCL support would be appreciated, as it also would have the benefit of supporting intel GPUs.

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joshuarossi avatar joshuarossi commented on July 29, 2024 3

hoping for metal support (it seemed like the cpu benchmarks were already on mac)

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LeaveNhA avatar LeaveNhA commented on July 29, 2024 3

I cannot wait for Metal support! 😇

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nonetrix avatar nonetrix commented on July 29, 2024 2

Vulkan would be great, in my experience Vulkan and ROCm are about the same actually and Vulkan has much broader support. I think it's the future personally once someone writes a nice wrapper around it that takes the role of CUDA or ROCm instead of being more generalized, I am not sure if it is the case with Vulkan vs CUDA I'd like to know honestly same with Vulkan and OpenVINO or whatever it is. But if Vulkan is so good at least on AMD, seems like no brainier just to implement that, not sure what the benefits of ROCm would be other than ease of development perhaps please correct me but seems to be my perspective as a user

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haslo avatar haslo commented on July 29, 2024 2

...and Metal? 🥹

Is that this ticket too or does it need another one?

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h9419 avatar h9419 commented on July 29, 2024 1

We do plan porting to other platforms soon. We just want to first have one very solid implementation and CUDA happened to be the best/easiest to do it first.

If that is the case, I recommend reading the documentation of HIP Porting Guide as you write your CUDA. Main difference is to account for possible warp size of 64 instead of always assuming 32 and you are almost good to go with ROCm support

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developedby avatar developedby commented on July 29, 2024 1

...and Metal? 🥹

Yes

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MrAmbiG avatar MrAmbiG commented on July 29, 2024 1

I think you mean AMD ROCM. ROCM is AMD's alternative to CUDA for nvidia. vulkan is for older GPUs. so finally it should look like bend run-ro <file.hvm> # uses the ROCM interpreter (massively parallel)

You may be mistaken- Vulkan as a standard was released 8 years ago, and modern drivers only coming out in 2019 or later. (https://en.wikipedia.org/wiki/Vulkan)

On ROCm, it is not what we want. ROCm is a software stack specifically for AMD Graphics cards. CUDA, on the other hand is not a software stack. AMD's equivalent to Nvidia's CUDA is indeed OpenCL, or alternatively Vulkan. Vulkan specializes in graphics, where OpenCL is more general.

In any case fwiw OpenCL support would be appreciated, as it also would have the benefit of supporting intel GPUs.

AMD vulkan (derived from mantle) api, is not limited to AMD GPUs, one can use it with NVIDIA's Nsight suite of development tools where as nvidia CUDA is designed specifically for nvidia GPUs, just like ROCM was designed with AMD GPUs in mind. So if you want a low level access to the gpu which isn't specifically designed with any gpu vendor in mind, you would choose vulkan api, if you want to specifically target AMD GPUs (especially the newer ones) ROCM is a better choice. However for this project I do support you prioritizing vulkan api over others because that would not only give a low level access to the GPU but it supports all 3 vendors. Intel does list https://www.intel.com/content/www/us/en/support/articles/000005524/graphics.html vulkan api as a supported api for their GPUs.

Vendor OpenCL Vulkan API ROCM CUDA
Intel Yes Yes No No
Nvidia Yes Yes No Yes
AMD Yes Yes Yes No
Technology Open Source
ROCm Yes
CUDA No
Vulkan API Yes
OpenCL Yes

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guymarshall avatar guymarshall commented on July 29, 2024 1

I think you mean AMD ROCM. ROCM is AMD's alternative to CUDA for nvidia. vulkan is for older GPUs. so finally it should look like bend run-ro <file.hvm> # uses the ROCM interpreter (massively parallel)

You may be mistaken- Vulkan as a standard was released 8 years ago, and modern drivers only coming out in 2019 or later. (https://en.wikipedia.org/wiki/Vulkan)
On ROCm, it is not what we want. ROCm is a software stack specifically for AMD Graphics cards. CUDA, on the other hand is not a software stack. AMD's equivalent to Nvidia's CUDA is indeed OpenCL, or alternatively Vulkan. Vulkan specializes in graphics, where OpenCL is more general.
In any case fwiw OpenCL support would be appreciated, as it also would have the benefit of supporting intel GPUs.

AMD vulkan (derived from mantle) api, is not limited to AMD GPUs, one can use it with NVIDIA's Nsight suite of development tools where as nvidia CUDA is designed specifically for nvidia GPUs, just like ROCM was designed with AMD GPUs in mind. So if you want a low level access to the gpu which isn't specifically designed with any gpu vendor in mind, you would choose vulkan api, if you want to specifically target AMD GPUs (especially the newer ones) ROCM is a better choice. However for this project I do support you prioritizing vulkan api over others because that would not only give a low level access to the GPU but it supports all 3 vendors. Intel does list https://www.intel.com/content/www/us/en/support/articles/000005524/graphics.html vulkan api as a supported api for their GPUs.
Vendor OpenCL Vulkan API ROCM CUDA
Intel Yes Yes No No
Nvidia Yes Yes No Yes
AMD Yes Yes Yes No
Technology Open Source
ROCm Yes
CUDA No
Vulkan API Yes
OpenCL Yes

I was going to say I thought Vulkan would be the best option not this ROCm but what do I know!

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guymarshall avatar guymarshall commented on July 29, 2024

No worries! Very impressive project, I am looking forward to using it in the future.

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imxade avatar imxade commented on July 29, 2024

This request belongs to HVM ?

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TheSimicSlaw avatar TheSimicSlaw commented on July 29, 2024

I have an AMD gpu, so for the moment using the CUDA interpreter is off the table, but would the C interpreter still be usable?

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R-Goc avatar R-Goc commented on July 29, 2024

I think that things like support for different runtimes would benefit from becoming a tracking issue. OpenCL is probably the best next step, as it has the best support across platforms. While vulkan has a compute element, it is notoriously a pain to write, and it seems slower than OpenCL from what I can find.

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