Dr. Moritz Lehmann
ProjectPhysX@mast.hpc.social
<p>Summa cum laude Physics <a href="https://mast.hpc.social/tags/PhD" class="mention hashtag" rel="tag">#<span>PhD</span></a> 🖖🧐🎓 | Graduate at EliteNet Bavaria 🧬 & DLR 🛰 | Developer of <a href="https://mast.hpc.social/tags/FluidX3D" class="mention hashtag" rel="tag">#<span>FluidX3D</span></a> <a href="https://mast.hpc.social/tags/CFD" class="mention hashtag" rel="tag">#<span>CFD</span></a> 🌊 | Khronos <a href="https://mast.hpc.social/tags/OpenCL" class="mention hashtag" rel="tag">#<span>OpenCL</span></a> Advisor 💻 | <a href="https://mast.hpc.social/tags/GPU" class="mention hashtag" rel="tag">#<span>GPU</span></a> Wizard at <a href="https://mast.hpc.social/tags/Intel" class="mention hashtag" rel="tag">#<span>Intel</span></a> 🟦</p><p><a href="https://github.com/ProjectPhysX/FluidX3D" ta
Posts
-
Post #2902396
Let&#39;s try something: You can plug an animated GIF into the #GitHub social preview image. Good eye-catcher in the GitHub topics listing and when sharing repos. Also: Already 2 updates for hw-smi! Better #Intel Arc Alchemist &amp; iGPU support, and more robust compiling across #Linux distros. Users testing on lots of systems and sending me feedback is win-win! https://github.com/ProjectPhysX/hw-smi
-
Post #2902395
#FluidX3D #CFD has reached ⭐ 5000 Stargazers on #GitHub! 🖖🥳 Grid refinement update is still in development, I haven&#39;t forgotten... ⬜◻️◽▫️ https://github.com/ProjectPhysX/FluidX3D
-
Post #2902394
Newest #IntelArc #GPU family member is here, the Panther Lake Arc B390... and it... purrs? 🖖 🥺 🐈⬛ My OpenCL-Benchmark on the B390 measures ~7.4 TFlops FP32 and ~120GB/s memory bandwidth. hw-smi also works with the B390. #FluidX3D benchmarks here: https://github.com/ProjectPhysX/FluidX3D#single-gpucpu-benchmarks And the #OpenCL infos: - Arc B390: https://opencl.gpuinfo.org/displayreport.php?id=6718 - Core Ultra X7 358H: https://opencl.gpuinfo.org/displayreport.php?id=6717
-
Post #2902393
#FluidX3D #CFD v3.7 brings faster Q-criterion isosurface rendering with #OpenCL local memory optimization! 🖖🤠 https://github.com/ProjectPhysX/FluidX3D/releases/tag/v3.7 Instead of 32 velocities for each #GPU thread, now an 8x8x8 workgroup loads &amp; reuses 11x11x11 velocities in L1$, a 12x VRAM BW reduction. Fascinating insight: Which thread loads which cell from VRAM to L1$, and which thread renders which grid cell within the workgroup, can be very different! https://github.com/ProjectPh...
-
Post #2276521
#OpenCL 3.1 is here!! 🖖🥳🎉 https://www.khronos.org/blog/opencl-3.1-is-here
-
Post #1501048
Heh, I found (and reported) a bug in one of #Nvidia&#39;s oldest and probably most thoroughly tested libraries: NVML memory clocks are wrongly reported in (MT/s / 2) instead of MHz, which means they are wrong for all #GPUs with GDDR5-7 memory types. Really no code can be trusted. 🖖🫠 https://github.com/ProjectPhysX/hw-smi/blob/master/src/main.cpp#L416