4 ms·
what? i've seen no performance difference between CUDA and OpenCL (targeting NVidia hardware). they are so low level and so similar that it's hard to see how
by andrewcooke 15y ago
what? i've seen no performance difference between CUDA and OpenCL (targeting NVidia hardware). they are so low level and so similar that it's hard to see how there can be differences. what are you referring to?
- marshray 15y agoI've seen papers where the author seemed to do a respectable job of benchmarking and usually CUDA came out 10% to (rarely) 40% faster. Still not enough of a gain to prompt me to marry a hardware-vendor-specific language. I think people like CUDA because Nvidia puts a serious effort into their development tools and Marketing. That's not meaningless.
- profquail 15y agoThe problem is this -- go ahead and take that OpenCL code and run it on some non-nVidia hardware. For any reasonably complex code, it turns out that you really need to optimize specifically for whatever hardware you're running on. So, while you may be using a standardized API, you still have to write specific versions of your code for each platform that you want to get the best performance on. IMO, developers would rather write against a non-standard API (a la C++ AMP) that ran at a consistently good performance level across all of their targets (nVidia/AMD/Intel GPUs, multicore CPUs, etc.).
- deleted 15y ago[deleted]