[BMarkmann]

An interesting project was kicked around here / proggit the other day, using apltail as the middle of a pipeline transforming APL code into optimized GPU code (Futhark), instead of targeting C. It is a pretty good display of ML's suitability for this sort of task.

I've always been impressed (amazed?) at the performance APL and its descendants get in an interpreted environment -- I'd be interested to see performance comparisons between the output of apl-to-apltail-to-C / apl-to-apltail-to-futhark and an APL interpreter.

[girvo]

I believe this is the paper in question!

https://futhark-lang.org/publications/fhpc16.pdf

[BMarkmann]

Oh wow, hard numbers, thanks! That's very impressive, but strangely misleading in the graph towards the bottom that appears to clock TAIL->Futhark->OpenCL and Futhark->OpenCL exactly the same in more than half the cases (if you look at the raw numbers if appears that the second approach blows the first away in most).

[Athas]

That's because the speedup graph cuts away at a 100x speedup, but some of these (somewhat silly) benchmarks are compute-bound and hence gets these crazy 1000x speedups on the GPU.