On 12-nov-10, at 00:29, Tobias Pfaff wrote:
[...]
Well, I am looking for an easy & efficient way to perform parallel
numerical calculations on our 4-8 core machines. With C++, that's
OpenMP (or GPGPU stuff using CUDA/OpenCL) for us now. Maybe
lightweight was the wrong word, what I meant is that OpenMP is easy
to use, and efficient for the problems we are solving. There
actually might be better tools for that, honestly we didn't look
into that much options -- we are no HPC guys, 1000-cpu clusters are
not a relevant scenario and we are happy that we even started
parallelizing our code at all :)
Anyways, I was thinking about the logical thing to use in D for this
scenario. It's nothing super-fancy, in cases just a parallel_for we
will, and sometimes a map/reduce operation...
If you use D1 blip.parallel.smp offers that, and it does scale well to
4-8 cores.
