I wish someone would take up this effort again. It'd be awesome to see VPP or someone target offload to GPUs again. It feels like there's a ton of optimization we could do today based around PCI-P2P, where the network card could DMA direct to the GPU and back out without having to transit main-memory/the CPU at all; lower latency & very efficient. It's a long leap & long hope, but I very much dream that CXL eventually brings us closer to that "disaggregated rack" model where a less host-based fabric starts disrupting architecture, create more deeply connected systems.
That said, just dropping down an fpga right on the nic is probably/definitely a smarter move. Seems like a bunch of hyperscaler do this. Unclear how much traction Marvell/Nvidia get from BlueField being on their boxes but it's there. Actually using the fpga is hard of course. Xilinx/AMD have a track record of kicking out some open source projects that seem interesting but don't seem to have any follow through. Nanotube being an XDP offload engine seemed brilliant, like a sure win. https://github.com/Xilinx/nanotube and https://github.com/Xilinx/open-nic .
It looks like they have some demo code doing something like that. https://docs.nvidia.com/doca/archive/doca-v2.2.1/gpu-packet-...
What kind of workloads do you think would benefit from GPU processing?
I have a VFX(Houdini now, RSL shaders etc earlier) and openCL-dabbling and demoscene-lurking background, based on which I think I prefer 'shader' to 'kernel', that's what OpenCL calls them.. but that conflicts with the name of like, 'the OS kernel' at least somewhat..