Originally posted by bridgman
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Radeon ROCm 4.0 Released With CDNA GPU Support (Instinct MI100)
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Originally posted by Aisyk View PostHi,
I'm a little lost with theses AMD drivers, OpenCL, Clover, OpenCL 1.1, 1.2, 20...
I have a navi card (5500XT) and i want to use DaVinciResolve with OpenCL (it doesn't launch without this support). I'm on a PopOS 20.10 distribution.
Will theses RocM drivers can enable OpenCL for use with DaVinciResolve ?
Proprietary OpenCL drivers don't compile with 20.10 kernels... i need to use a -nodkms option to install them but DaVinciResolve don't recognize the right version...
Originally posted by walterav View Post
Are you using AMDGPU Pro drivers aswell for instance the legacy OpenGL component or full Opensource graphics stack including ROCM? Since D.R. 16.1 and higher required the closed AMDGPU Pro Legacy OpenGL driver, before "h33p" found a solution.
BTW are D.R. 17beta's working for you?
Originally posted by bridgman View PostDoes *anyone* actually use DaVinci Resolve on RHEL/CentOS (the distro that Blackmagic supports, and a primary target of our packaged drivers) ?
Would I prefer to just run DR out of my Fedora desktop and avoid the PITA of the dual boot and would I prefer to use a more modern desktop distro as opposed to a server distro? Yup, sure would. I suspect there are some large production houses that run the BMD supplied image but among the majority of the base almost no one does.
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Originally posted by MadeUpName View PostI hope Michael is able to lay hands on one of those MI100 cards at some point as I am curious to see how it's compute performance stacks up against the gaming cards.Michael Larabel
https://www.michaellarabel.com/
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Originally posted by Rakot View PostHello John. Does ROCm work with Renoir APUs? I have a laptop that has both Renoir and NVidia graphics. I use NVidia graphics to develop and test our existing HPC software relying on CUDA. I'd like to try to replace CUDA with HIP and see whether our software stack can work on AMD and Nvidia hardware using HIP. I guess HIP doesn't support running on both cards simultaneously and requires separate compilation for each platform but it is still nice to see if I can use HIP with AMD graphics only. So is it possible to make Renoir work with ROCm? Documentation explicitly mentions the lack of support of APUs but it seems like this section hasn't been updated for a while.Test signature
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Originally posted by bridgman View PostDoes *anyone* actually use DaVinci Resolve on RHEL/CentOS (the distro that Blackmagic supports, and a primary target of our packaged drivers) ?
Honestly, I failed to understand why APU especially the mobile version remained neglected on both open source and official AMD driver.
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RDNA / RDNA2: OpenCL works somehow, but with bad performance, the rest: no not really..
APUs / most consumer Vega Cards: Not officially supported, but they might work
Obviously AMD does not really have the bandwidth / resources to support consumer hardware / even care.. The Accelerators are GCN (Vega 20 for example) and CDNA based.. So currently CDNA is Data Center / Accelerator only currently and probably it will stay that way.. At least if games don´t suddently start to use bf16 and such, we won´t see consumer cards based on CDNA IMHO.
Just a guess:
RDNA: Has Raytracing units, but lacks Matrix multiplication accelerators and bf16 format
CDNA: Lacks raytracing units, but has matrix multiplication accelerator and bf16 format + probably more cores and a lot higher memory Bandwidth
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Originally posted by finalzone View Postbut the GPU part is listed as unknown thus preventing Davinci Resolve to boot.
Originally posted by finalzone View PostHonestly, I failed to understand why APU especially the mobile version remained neglected on both open source and official AMD driver.
Not sure what you mean by "official AMD driver" since upstream is the primary official AMD driver - guessing you're talking about the prebuilt driver packages on amd-com, either the all-open built from an upstream fork or the hybrid workstation drivers with open source kernel/libdrm/multimedia and closed source OpenGL/Vulkan ?
The business unit responsible for APUs has historically not felt that there was much demand for workstation/compute support on APUs, but that is starting to change.
Originally posted by Spacefish View PostRDNA / RDNA2: OpenCL works somehow, but with bad performance, the rest: no not really..
APUs / most consumer Vega Cards: Not officially supported, but they might work
Originally posted by Spacefish View PostObviously AMD does not really have the bandwidth / resources to support consumer hardware / even care.. The Accelerators are GCN (Vega 20 for example) and CDNA based.. So currently CDNA is Data Center / Accelerator only currently and probably it will stay that way.. At least if games don´t suddently start to use bf16 and such, we won´t see consumer cards based on CDNA IMHO.
Just a guess:
RDNA: Has Raytracing units, but lacks Matrix multiplication accelerators and bf16 format
CDNA: Lacks raytracing units, but has matrix multiplication accelerator and bf16 format + probably more cores and a lot higher memory Bandwidth
- RDNA has some specialized instructions for ML (eg dot product operations, more in RDNA2) but does not have matrix acceleration.
- CDNA has no graphics pipeline at all (so no ray tracing units) but has matrix multiplication, bf16 and a lot more cores, along with very high bandwidthTest signature
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Originally posted by bridgman View Post
Right now I think the answer is "no" but AFAIK Renoir is the closest to being supportable. Checking...
I would really appreciate if you can clarify it.
On a side note, AMD won a number of DOE awards for building next-gen exascale capable clusters that we (scientists) are going to use. Good software support is a must have for us. AMD is partnering with Kokkos team but it is not enough if we cannot even test already available hardware. On Nvidia side, despite terrible open source support and a number of problems in general like recent "GPL condom" incident, we can develop and test our software stack on both mobile and HPC video cards. This is quite handy.
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