https://github.com/ProjectPhysX/FluidX3D/releases/tag/v3.6
#SC25 in wonderful St. Louis was a blast! I showcased this FluidX3D-on-Arc-Pro workstation demo there, met so many friends, had exciting conversations with all sorts of #HPC enthusiasts. And I finally saw the Cardinals - the bright red/brown birds that became the symbol of the city's famous Baseball team. ๐ฆ
This is Flynn's #Tron Light Cycle simulated in #FluidX3D #CFD, on 4x #Intel #ArcPro B60 #GPUโs with 24GB VRAM each, at a massive 1.8 Billion grid cells resolution. ๐๐ค
https://www.youtube.com/watch?v=5kZ3MmNOLoE
8x AMD Instinct #MI355X (288GB @8TB/s) take back the lead over 8x Nvidia #B200 (180GB @8TB/s) in #FluidX3D #CFD, achieving 362k MLUPs/s (vs. 219k MLUPs/s). Thanks to Jon Stevens from Hot Aisle to run the benchmarks! ๐๐
In single-GPU, both perform about the same, but in 8x #GPU config, MI355X is 65% faster. The difference comes from PCIe bandwidth - MI355X does 55GB/s, B200 only 14GB/s. #Nvidia leaves a lot of perf on the table by not exposing #NVLink P2P to #OpenCL.
#FluidX3D #CFD v3.5 upgrade is out, for free! I have implemented multi-โ#GPU support for the particles extension - now all model extensions are supported with multi-GPU. Also: faster particle force spreading, more documentation, updated FAQs, and an #OpenCL bug fix for ARM GPUs. Have fun everyone! ๐๐
Full release notes on #GitHub ๐ https://github.com/ProjectPhysX/FluidX3D/releases/tag/v3.5