zlacker

Are there any standardised approaches for this? I fail to imagine how one would put branchy CPU code like parsing, etc. on GPUs effectively?

>>HexDec+(OP)
It is possible but you have to do things very differently, for example use monoids. There are a few compilers implemented on GPU, including Aaron Hsu's co-dfns and Voetter's compiler project[1]. The parentheses matching problem itself (the core of parsing) has long known efficient parallel algorithms and those have been ported to compute shaders[2] (disclosure: blatant self-promotion).

[1]: https://dl.acm.org/doi/pdf/10.1145/3528416.3530249

[2]: https://arxiv.org/pdf/2205.11659.pdf

>>HexDec+(OP)
WebGPU I think will help change a lot of this. Finally, portable code that is performant and runs virtually anywhere. It's the same reason web apps have taken off so much, or just the idea of deploying to and from web platforms, e.g. write in web and deploy to native.

I think WebGPU will be that universal language everyone speaks, and I think also that this will help get rid of Nvidia's monopoly on GPU compute.