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#opencl

3 posts3 participants0 posts today

OpenCL v3.0.19 maintenance update released with bug fixes & clarifications and adds two new extensions: cl_khr_spirv_queries to simplify querying the SPIR-V capabilities of a device, and cl_khr_external_memory_android_hardware_buffer to more efficiently interoperate with other APIs on Android devices. In addition, the cl_khr_kernel_clock extension to sample a clock within a kernel has been finalized and is no longer an experimental extension.

Khronos #OpenCL Registry: registry.khronos.org/OpenCL/

Finally I can "SLI" AMD+Intel+Nvidia #GPU​s at home! I simulated this crow in flight at 680M grid cells in 36GB VRAM, pooled together from
- 🟥 #AMD Radeon RX 7700 XT 12GB (RDNA3)
- 🟦 #Intel Arc B580 12GB (Battlemage)
- 🟩 #Nvidia Titan Xp 12GB (Pascal)
My #FluidX3D #CFD software can pool the VRAM of any combination of any GPUs together via #OpenCL.
#Krähenliebe #birds #crow
youtube.com/watch?v=1z5-ddsmAa

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?

Is it possible to run AMD+Intel+Nvidia #GPU​s in the same PC? Yes! 🖖😋
Got this RDNA3 chonker for free from 11 bit studios contest! It completes my 36GB VRAM RGB SLI abomination setup:
- 🟥 #AMD Radeon RX 7700 XT 12GB
- 🟦 #Intel Arc B580 12GB
- 🟩 #Nvidia Titan Xp 12GB
The drivers all work together in #Linux Ubuntu 24.04.2. Backbone is an ASUS ProArt Z790 with i7-13700K and 64GB, PCIe 4.0 x8/x8 + 3.0 x4 - plenty interconnect bandwidth.
Finally I can develop and test #OpenCL on all major patforms!

I made this #FluidX3D #CFD simulation run on a frankenstein zoo of 🟥AMD + 🟩Nvidia + 🟦Intel #GPU​s! 🖖🤪
youtube.com/watch?v=_8Ed8ET9gB

The ultimate SLI abomination setup:
- 1x Nvidia A100 40GB
- 1x Nvidia Tesla P100 16GB
- 2x Nvidia A2 15GB
- 3x AMD Instinct MI50
- 1x Intel Arc A770 16GB

I split the 2.5B cells in 9 domains of 15GB - A100 takes 2 domains, the other GPUs 1 domain each. The GPUs communicate over PCIe via #OpenCL.

Huge thanks to Tobias Ribizel from TUM for the hardware!