With work like this it becomes clear (even in GPU-land) why picking the right components and sticking with them (where sensible) is so much more important in ha

With work like this it becomes clear (even in GPU-land) why picking the right components and sticking with them (where sensible) is so much more important in hardware than software. In software we want nice abstractions and so on, with FPGAs if those abstractions are even possible you probably can't afford to write them. I spoke to an ASIC designer recently, the EDA industries weird. The big thing with SYCL and oneAPI and so on for me at least is that you have all this stuff bolted onto C++. C++'s ability to do generative programming is just not as good as it's competitors, that and C++ just being a bad language. If things are more language-agnostic than I realize then yippee The clever thing about the DCompute project that I linked above is that it uses a simple but powerful introspection system (provided by D, could really be any competently designed language) to pick up the right stuff and generative the compute kernels in the background for you.