#gpucompute — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #gpucompute, aggregated by home.social.
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New blog: how FFmpeg uses Vulkan Compute shaders to accelerate professional codec workflows — FFv1, ProRes, ProRes RAW, APV and more — on any Vulkan-capable GPU, with no fixed-function hardware required.
Fully GPU-resident, no CPU hand-offs, and portable across the broad Vulkan device ecosystem.
Learn more: https://www.khronos.org/blog/video-encoding-and-decoding-with-vulkan-compute-shaders-in-ffmpeg?utm_medium=social&utm_source=mastodon&utm_campaign=FFmpeg_Video&utm_content=blog
#Vulkan #FFmpeg #VideoEngineering #GPUCompute #OpenStandards #ProRes #FFv1 #ProResRAW #APV #VC2 #JPEG -
New blog: how FFmpeg uses Vulkan Compute shaders to accelerate professional codec workflows — FFv1, ProRes, ProRes RAW, APV and more — on any Vulkan-capable GPU, with no fixed-function hardware required.
Fully GPU-resident, no CPU hand-offs, and portable across the broad Vulkan device ecosystem.
Learn more: https://www.khronos.org/blog/video-encoding-and-decoding-with-vulkan-compute-shaders-in-ffmpeg?utm_medium=social&utm_source=mastodon&utm_campaign=FFmpeg_Video&utm_content=blog
#Vulkan #FFmpeg #VideoEngineering #GPUCompute #OpenStandards #ProRes #FFv1 #ProResRAW #APV #VC2 #JPEG -
New blog: how FFmpeg uses Vulkan Compute shaders to accelerate professional codec workflows — FFv1, ProRes, ProRes RAW, APV and more — on any Vulkan-capable GPU, with no fixed-function hardware required.
Fully GPU-resident, no CPU hand-offs, and portable across the broad Vulkan device ecosystem.
Learn more: https://www.khronos.org/blog/video-encoding-and-decoding-with-vulkan-compute-shaders-in-ffmpeg?utm_medium=social&utm_source=mastodon&utm_campaign=FFmpeg_Video&utm_content=blog
#Vulkan #FFmpeg #VideoEngineering #GPUCompute #OpenStandards #ProRes #FFv1 #ProResRAW #APV #VC2 #JPEG -
New blog: how FFmpeg uses Vulkan Compute shaders to accelerate professional codec workflows — FFv1, ProRes, ProRes RAW, APV and more — on any Vulkan-capable GPU, with no fixed-function hardware required.
Fully GPU-resident, no CPU hand-offs, and portable across the broad Vulkan device ecosystem.
Learn more: https://www.khronos.org/blog/video-encoding-and-decoding-with-vulkan-compute-shaders-in-ffmpeg?utm_medium=social&utm_source=mastodon&utm_campaign=FFmpeg_Video&utm_content=blog
#Vulkan #FFmpeg #VideoEngineering #GPUCompute #OpenStandards #ProRes #FFv1 #ProResRAW #APV #VC2 #JPEG -
New blog: how FFmpeg uses Vulkan Compute shaders to accelerate professional codec workflows — FFv1, ProRes, ProRes RAW, APV and more — on any Vulkan-capable GPU, with no fixed-function hardware required.
Fully GPU-resident, no CPU hand-offs, and portable across the broad Vulkan device ecosystem.
Learn more: https://www.khronos.org/blog/video-encoding-and-decoding-with-vulkan-compute-shaders-in-ffmpeg?utm_medium=social&utm_source=mastodon&utm_campaign=FFmpeg_Video&utm_content=blog
#Vulkan #FFmpeg #VideoEngineering #GPUCompute #OpenStandards #ProRes #FFv1 #ProResRAW #APV #VC2 #JPEG -
Vulkan question: when creating multiple pipelines with vkCreateComputePipelines which are all specializations of the same shader code with the same pipeline layout do drivers optimise this better than I could by just submitting each creation to a task on a separate thread?
I'm testing this right now on the hardware & platforms I have, but was wondering if others had wider experience with this.
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One thing I haven't been able to find out is if any optimization is happening when I pass in my wgsl code. Does it do constant folding, does it do load optimization, etc?
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In my playing around w/ WebGPU, I think I have a bilinear debayer function working that runs on the GPU.
As usual, the hole is deep when looking beyond the surface (e.g algorithms, optimizations).
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Well, I'm half impressed with wgpu. It managed to compile fine on my 9 month old version of rust, and a few of the demos worked, but not all of them.
Just over half worked, 15 of 29. (Note that I assume that an example worked if it popped up a window to show me something. If the example just prints something out, I might have considered it a fail. Also, this may be because the ray tracing support is experimental, and 6 of the tests are of this type.)
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As usual, getting something like GPU compute that's cross platform working is a message because everyone likes to do their own thing and reinvent the wheel.
I would like something that is [modern] macOS and FreeBSD compatible, but doesn't look like that's possible since Apple deprecated OpenCL.
(Also, could Apple have picked a less searchable term for their new GPU framework?)
It's again looking like the best way to be cross platform is to use JS+browser.
Or am I missing some library?
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Disabling Intel Graphics Security Mitigation Boosts GPU Compute Performance 20%
https://www.phoronix.com/news/Disable-Intel-Gfx-Security-20p
#HackerNews #IntelGraphics #GPUCompute #PerformanceBoost #SecurityMitigation #TechNews
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Disabling Intel Graphics Security Mitigation Boosts GPU Compute Performance 20%
https://www.phoronix.com/news/Disable-Intel-Gfx-Security-20p
#HackerNews #IntelGraphics #GPUCompute #PerformanceBoost #SecurityMitigation #TechNews
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Disabling Intel Graphics Security Mitigation Boosts GPU Compute Performance 20%
https://www.phoronix.com/news/Disable-Intel-Gfx-Security-20p
#HackerNews #IntelGraphics #GPUCompute #PerformanceBoost #SecurityMitigation #TechNews
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Disabling Intel Graphics Security Mitigation Boosts GPU Compute Performance 20%
https://www.phoronix.com/news/Disable-Intel-Gfx-Security-20p
#HackerNews #IntelGraphics #GPUCompute #PerformanceBoost #SecurityMitigation #TechNews
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Disabling Intel Graphics Security Mitigation Boosts GPU Compute Performance 20%
https://www.phoronix.com/news/Disable-Intel-Gfx-Security-20p
#HackerNews #IntelGraphics #GPUCompute #PerformanceBoost #SecurityMitigation #TechNews
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oh Bhyve, why must you "(exit status 4)" whenever I need you most?! :bsdhead:
catastrophizing? not necessarily, but I did debug it for some hours, sufficiently short of spinning up a gdb host.
alas, latest 14.1-RELEASE and Bhyve is not interested in handling IRQs and passthru for one of the A4000 GPU in my workstation.
https://p.bsd-unix.net/?3f247ee56451edeb#4g15QSXkqfrbTkPd4NdE8hd9iejXZDPryvj45TsuUxL4
#FreeBSD #Bhyve #virtualization #patience #GPUcompute #GPU #HPC #ML #hardware #engineering #syseng