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I am about to create GPU-enabled program using CUDA technology. It is supposed to be C# Emgu or C++ Cuda toolkit (not yet decided).
I need to use all GPU power (I have card with 16 GPU cores). How do I run 16 tasks in parallel?
First of. 16 GPU cores is, on pre 6xx series, equal to 16*8=128 cores. On 6xx series it is 16*32=512 cores. That does not mean you should limit yourself to 128/512 tasks.
Second: emgu seems to be a OpenCV wrapper for .NET, and is related to image processing. It generally has nothing to do with GPU programming. Might be some algorithms have been gpu accelerated, but I don’t know anything about that. The alternative to CUDA in this is OpenCL, not OpenCV. If you will be using CUDA technology like you say, you have no alternative to CUDA, as only CUDA is CUDA.
When it comes to starting tasks, you only tell the GPU how many threads you wish to run. Actually, you tell the GPU how many blocks, and how many threads pr. block you wish to run. This is done when you call the cuda function itself. You don’t want to limit yourself to 128/512 threads either, but experiment.
Don’t know your knowledge on GPGPU programming, but remember that you can not run tasks as you do on the CPU. You can not run 128 different tasks, all threads have to run the exact same instructions (except for when branching, which should generally be avoided).