On Saturday, 18 January 2014 at 19:34:49 UTC, ponce wrote:
You can write everything in OpenCL and dispatch to both a CPU
or GPU device, managing the submit queues yourself.
I guess my question is whether people are interested in
std.gpgpu (or some more sane name).
What would be the purpose? To be on top of both CUDA and OpenCL?
Compiler support with futures could be useful, e.g. write D
futures and let the compiler generate CUDA and OpenCL, while
having a fall-back branch for the CPU in case the GPU is
unavailable/slow.
e.g.:
GPUStore store;
store[123]=somearray;
store[53]=someotherarray;
FutureCalcX futurecalcx = new....(store)...
futurecalcx.compute(store(123),store(53),1.34,299)
...
if(futurecalc.ready){
y = futurecalc.result
}
or future with callback…
futurecalcx.thenCall(somecallback)
futurecalcx.compute(....)
