4 ms·
Yes. It's pretty nice. As nice as C can get, that is... The biggest hurdle for me was thinking data-parallel as opposed to sequentially or even task-parallel.
by lutorm 18y ago
Yes.
It's pretty nice. As nice as C can get, that is... The biggest hurdle for me was thinking data-parallel as opposed to sequentially or even task-parallel.
- chasingsparks 18y agoI use CUDA for finance based Monte-Carlo simulations. Unless you are at a place with a huge cluster that you have access to, some problems cannot be solved without CUDA.
- light3 18y agoOne downside to CUDA is its massively powerful for single FP precision, but double FP precision performance is less than 1/10 of single FP performance. When precision is needed CUDA is much less useful, say you're running 10^10 simulations then with single FP precision you will only have a result accurate to 5 significant figures.