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#opencl

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Rainer<p><span class="h-card" translate="no"><a href="https://federation.network/@GuettisKnippse" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>GuettisKnippse</span></a></span> <br>Unter Einstellungen/Bearbeitung/<br><a href="https://social.anoxinon.de/tags/OpenCL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenCL</span></a> aktiviert?</p>
Gamey :thisisfine: :antifa:<p>I want to get <a href="https://chaos.social/tags/davinci_resolve" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>davinci_resolve</span></a> working on <a href="https://chaos.social/tags/Fedora" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Fedora</span></a> 42 with my now very old AMD rx480 8GB but it uses <a href="https://chaos.social/tags/OpenCL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenCL</span></a>. The obvious choice would be <a href="https://chaos.social/tags/rocm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rocm</span></a> but that dropped support for my GPU years ago and from what I found also causes issues with Davinci resolve for even more years. The other obvious choice would be mesas implementation but while <a href="https://chaos.social/tags/Rusticl" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Rusticl</span></a> improved things it's still not a feature complete implementation and rather slow. Is it smart to use the amdgpu-pro ICD with mesa drivers for this?</p>
karolherbst 🐧 🦀<p>Who is using CL_sRGBA images with <a href="https://chaos.social/tags/OpenCL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenCL</span></a>, specifically to write to it (cl_khr_srgb_image_writes)?</p><p>There is limited hw support for writing to sRGBA images and I'm now curious what even uses that feature.</p><p>It was apparently important enough to require support for it for OpenCL 2.0, but... that's not telling me much.</p>
txt.file<p>Also what the heck did Khronos Group think when developing the <a href="https://chaos.social/tags/OpenCL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenCL</span></a> versions?<br>"The OpenCL 3.0 specification was released on September 30, 2020, after being in preview since April 2020. OpenCL 1.2 functionality has become a mandatory baseline, while all OpenCL 2.x and OpenCL 3.0 features were made optional." <a href="https://en.wikipedia.org/wiki/OpenCL#OpenCL_3.0" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">en.wikipedia.org/wiki/OpenCL#O</span><span class="invisible">penCL_3.0</span></a></p><p>So OpenCL 3.0 is definitely OpenCL 1.2 and maybe more but not sure.</p>
txt.file<p><a href="https://chaos.social/tags/rusticl" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rusticl</span></a> implements only <a href="https://chaos.social/tags/OpenCL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenCL</span></a> 1.1 for <a href="https://chaos.social/tags/AMD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AMD</span></a> Southern Islands, Sea<br>Islands, Volcanic<br>Islands, Arctic<br>Islands/Polaris, Vega GPUs. Folding@home needs OpenCL 1.2.</p><p>And I do not believe OpenCL 1.2 will be added to rusticl for GPUs from Jun 2017 and older. 🤬</p>
Lukas Weidinger<p>I’m thinking of <a href="https://gruene.social/tags/compiling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>compiling</span></a> <a href="https://gruene.social/tags/darktable" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>darktable</span></a> from source so that it’s better optimized for my processor. <br>Anybody experience with its potential? <a href="https://gruene.social/tags/question" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>question</span></a> <a href="https://gruene.social/tags/followerpower" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>followerpower</span></a></p><p>I’m generally ok with how fast the flatpak runs on my i7-1255 laptop. However, with such an iterative workflow, I feel that one has much to gain with slight improvements via <a href="https://gruene.social/tags/opencl" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>opencl</span></a> and AVX.</p>
mirror::box::milo<p><a href="https://mstdn.social/tags/generativeart" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>generativeart</span></a> <a href="https://mstdn.social/tags/artificiallife" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>artificiallife</span></a> <a href="https://mstdn.social/tags/reactiondiffusion" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>reactiondiffusion</span></a> <a href="https://mstdn.social/tags/blender" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>blender</span></a> <a href="https://mstdn.social/tags/opencl" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>opencl</span></a> <a href="https://mstdn.social/tags/creativecoding" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>creativecoding</span></a> <a href="https://mstdn.social/tags/emergence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>emergence</span></a> <a href="https://mstdn.social/tags/isosurface" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>isosurface</span></a></p>
Alauddin Maulana Hirzan 💻<p>Other things I have tested with FreeBSD: OpenCL with Discrete GPU via PyOpenCL lib</p><p><a href="https://mastodon.bsd.cafe/tags/FreeBSD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FreeBSD</span></a> <a href="https://mastodon.bsd.cafe/tags/OpenCL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenCL</span></a> <a href="https://mastodon.bsd.cafe/tags/PyOpenCL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PyOpenCL</span></a></p>
Alauddin Maulana Hirzan 💻<p>aaah, nothing can beat the feel of beefed up FreeBSD with working dGPU.<br>1. OpenCL ✓ <br>2. OBS RenderD129 ✓<br> Thanks to <span class="h-card" translate="no"><a href="https://mastodon.bsd.cafe/@vermaden" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>vermaden</span></a></span> for pointing my fault.</p><p><a href="https://mastodon.bsd.cafe/tags/FreeBSD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FreeBSD</span></a> <a href="https://mastodon.bsd.cafe/tags/amdgpu" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>amdgpu</span></a> <a href="https://mastodon.bsd.cafe/tags/opencl" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>opencl</span></a></p>
Käsekuchen<p>How can I install <a href="https://social.anoxinon.de/tags/AMD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AMD</span></a> iGPU <a href="https://social.anoxinon.de/tags/OpenCL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenCL</span></a> drivers on <a href="https://social.anoxinon.de/tags/tuxedo_os" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tuxedo_os</span></a> I tried the deb from AMD but I get:</p><p>Unsupported OS: /etc/os-release ID 'tuxedo'</p><p> Any ideas? <span class="h-card" translate="no"><a href="https://linuxrocks.online/@tuxedocomputers" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>tuxedocomputers</span></a></span> <a href="https://social.anoxinon.de/tags/Linux" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Linux</span></a> <a href="https://social.anoxinon.de/tags/ubuntu" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ubuntu</span></a> </p><p>♻️ Boosts welcome!</p>
Ian Brown<p>Finally found the downtime to complete this fantastic survey of managed runtimes (e.g. the JVM) and heterogeneous hardware (e.g. CPUs and GPUs or FPGAs) by <a href="https://mastodon.online/users/snatverk" rel="nofollow noopener noreferrer" target="_blank">@snatverk@mastodon.online</a>, <a href="https://mastodon.sdf.org/users/thanos_str" rel="nofollow noopener noreferrer" target="_blank">@thanos_str@mastodon.sdf.org</a>, and <a href="https://mastodon.online/users/kotselidis" rel="nofollow noopener noreferrer" target="_blank">@kotselidis@mastodon.online</a>. </p> <p>Required reading for those who want a look at the future of software development.</p> <p><a href="https://books.hccp.org/hashtag/177" rel="nofollow noopener noreferrer" target="_blank">#TornadoVM</a> <a href="https://books.hccp.org/hashtag/184" rel="nofollow noopener noreferrer" target="_blank">#JOCL</a> <a href="https://books.hccp.org/hashtag/175" rel="nofollow noopener noreferrer" target="_blank">#OpenCL</a> <a href="https://books.hccp.org/hashtag/176" rel="nofollow noopener noreferrer" target="_blank">#CUDA</a></p><p>(comment on <a href="https://books.hccp.org/book/31088" rel="nofollow noopener noreferrer" target="_blank">"Programming Heterogeneous Hardware via Managed Runtime Systems"</a>)</p>
Gilberto Ficara<p>Published another article about <a href="https://mastodon.art/tags/Darktable" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Darktable</span></a> with <a href="https://mastodon.art/tags/OpenCL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenCL</span></a> for <a href="https://mastodon.art/tags/AMD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AMD</span></a> <a href="https://mastodon.art/tags/ROCm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ROCm</span></a> on <a href="https://mastodon.art/tags/Debian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Debian</span></a> (SID)... I finally got it working (again) :)</p><p><a href="https://www.stranatesta.eu/tech/darktable-opencl-debian-sid-december-2024/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">stranatesta.eu/tech/darktable-</span><span class="invisible">opencl-debian-sid-december-2024/</span></a></p><p><a href="https://mastodon.art/tags/linux" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>linux</span></a> <a href="https://mastodon.art/tags/amdgpu" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>amdgpu</span></a> <a href="https://mastodon.art/tags/gpu" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>gpu</span></a> <a href="https://mastodon.art/tags/photography" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>photography</span></a></p>
Dr. Moritz Lehmann<p>This is the largest <a href="https://mast.hpc.social/tags/CFD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CFD</span></a> simulation ever on a single computer, the <a href="https://mast.hpc.social/tags/NASA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NASA</span></a> X-59 at 117 Billion grid cells. This video visualizes 7.6 PetaByte if volumetric data.</p><p>I did this simulation on 2x <a href="https://mast.hpc.social/tags/Intel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Intel</span></a> Xeon 6980P <a href="https://mast.hpc.social/tags/HPC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HPC</span></a> CPUs with 6TB MRDIMM memory at massive 1.7TB/s bandwidth. No <a href="https://mast.hpc.social/tags/GPU" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GPU</span></a>​s required! 🖖😋🟦</p><p><a href="https://www.youtube.com/watch?v=K5eKxzklXDA" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=K5eKxzklXD</span><span class="invisible">A</span></a></p><p>As a little gift to you all: <a href="https://mast.hpc.social/tags/FluidX3D" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FluidX3D</span></a> v3.0 is out now, enabling 31% larger resolution on CPUs/iGPUs with <a href="https://mast.hpc.social/tags/OpenCL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenCL</span></a> zero-copy buffers:<br><a href="https://github.com/ProjectPhysX/FluidX3D/releases/tag/v3.0" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/ProjectPhysX/FluidX</span><span class="invisible">3D/releases/tag/v3.0</span></a></p>
karolherbst 🐧 🦀<p>*thinks about to which device to bring <a href="https://chaos.social/tags/OpenCL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenCL</span></a> support next*</p>
David Heidelberg<p>I'm thrilled to announce that <a href="https://floss.social/tags/OpenCL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenCL</span></a> support for <a href="https://floss.social/tags/Qualcomm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Qualcomm</span></a> Adreno 600 and later landed and will be available in upcoming <a href="https://floss.social/tags/Mesa3D" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Mesa3D</span></a> 24.3! 🎉 I really enjoyed being part of this effort and work on it with Dmitry, <span class="h-card" translate="no"><a href="https://chaos.social/@karolherbst" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>karolherbst</span></a></span>, and <span class="h-card" translate="no"><a href="https://mastodon.gamedev.place/@robclark" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>robclark</span></a></span> <a href="https://gitlab.freedesktop.org/mesa/mesa/-/merge_requests/30835" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">gitlab.freedesktop.org/mesa/me</span><span class="invisible">sa/-/merge_requests/30835</span></a></p>
Eva Winterschön<p><span class="h-card" translate="no"><a href="https://bsd.network/@dexter" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>dexter</span></a></span> Here's the AMD w/ CUDA support/library/api/shim/translation/thing that came up the other day:</p><p>&gt; ZLUDA is a drop-in replacement for CUDA on non-NVIDIA GPU. ZLUDA allows to run unmodified CUDA applications using non-NVIDIA GPUs with near-native performance.</p><p>- <a href="https://vosen.github.io/ZLUDA/blog/zludas-third-life/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">vosen.github.io/ZLUDA/blog/zlu</span><span class="invisible">das-third-life/</span></a><br>- <a href="https://github.com/vosen/ZLUDA" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">github.com/vosen/ZLUDA</span><span class="invisible"></span></a> </p><p><a href="https://mastodon.bsd.cafe/tags/forDiscussion" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>forDiscussion</span></a> <a href="https://mastodon.bsd.cafe/tags/gpu" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>gpu</span></a> <a href="https://mastodon.bsd.cafe/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a> <a href="https://mastodon.bsd.cafe/tags/cuda" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>cuda</span></a> <a href="https://mastodon.bsd.cafe/tags/amd" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>amd</span></a> <a href="https://mastodon.bsd.cafe/tags/nvidia" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>nvidia</span></a> <a href="https://mastodon.bsd.cafe/tags/zluda" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>zluda</span></a> <a href="https://mastodon.bsd.cafe/tags/opencl" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>opencl</span></a> <a href="https://mastodon.bsd.cafe/tags/machineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machineLearning</span></a></p>
Troels<p>Finding myself once again staring at a black screen, I remind myself: never trust AMDs <a href="https://freeradical.zone/tags/OpenCL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenCL</span></a> implementation, and test your <a href="https://freeradical.zone/tags/GPU" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GPU</span></a> code on a remote machine.</p>
johanna 💜<p>New Blog Post: Atomic Float Addition in OpenCL </p><p>Atomic addition of floats in <a href="https://mastodon.social/tags/OpenCL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenCL</span></a> is cumbersome, but it does not have to be!</p><p><a href="https://pipinspace.github.io/blog/atomic-float-addition-in-opencl.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">pipinspace.github.io/blog/atom</span><span class="invisible">ic-float-addition-in-opencl.html</span></a></p>
karolherbst 🐧 🦀<p>Though of the day: I should make more of use lifetimes in Rust to express dependencies between API objects in <a href="https://chaos.social/tags/Rusticl" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Rusticl</span></a> </p><p>So far I haven't as using Arc is a good enough solution here. But I'm getting to the point where it's getting in the way.</p><p>The main reason I haven't is, that API objects are managed by the application and given <a href="https://chaos.social/tags/OpenCL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenCL</span></a> being a C API there isn't much I can do really if the application destroys objects in a weird order.</p><p>So that's kinda annoying.</p>
Robert Mader<p>I'm increasingly excited about what <a href="https://mastodon.social/tags/opencl" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>opencl</span></a> support coming together across the board in <a href="https://mastodon.social/tags/mesa" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mesa</span></a> could mean for multimedia in the free ecosystem.</p><p>Just some thoughts about what I *think* is on the table:<br> - fluent/efficient AV1[1] playback across the board, *maybe* even on hardware like the Raspberry Pi4<br> - real-time AV1 encoding in reasonable quality for video chat, screencasting and camera recording<br> - a GPU ISP, allowing reasonable image quality with any camera sensor</p><p>1: or any other format?</p>