Have you considered post-GPU accelerators? For large-scale machine learning, TPU's have won, basically. There are new vendors like Tenstorrent offering completely new (and much simpler) computing hardware. GPU's may as well live on borrowed time as far as compute is concerned.

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LegNeato 5 days ago | parent [-]

Yes, see the proposed WG link I posted above. When I say GPU I'm using it as shorthand...indeed, I think the "graphics" part is on borrowed time and will just become fully software. It is already happening.

	▲	tucnak 5 days ago \| parent [-]
		Tenstorrent is often criticised for having lots of abstraction layers, compilers, IR's in the middle—it's all in C++, of course. GPU's are okay, but none of them got network-on-chip capability. Some promising papers have been coming out, like SystolicAttention, etc. There's just so much stuff for GPU's, but not that much for sysolic NoC systems (TPU, TT, NPU's) I think Rust could really make an impact here. Abandon all GPU deadweight, stick to simple abstractions, assume 3d twisted torus for topology and that's it. Food for thought!