Multiple processes launching CUDA kernels in parallel

Question

I know that NVIDIA gpus with compute capability 2.x or greater can execute u pto 16 kernels concurrently. However, my application spawns 7 \"processes\" and each of these 7 proc

Answer 1

A CUDA context is a virtual execution space that holds the code and data owned by a host thread or process. Only one context can ever be active on a GPU with all current hardware.

So to answer your first question, if you have seven separate threads or processes all trying to establish a context and run on the same GPU simultaneously, they will be serialised and any process waiting for access to the GPU will be blocked until the owner of the running context yields. There is, to the best of my knowledge, no time slicing and the scheduling heuristics are not documented and (I would suspect) not uniform from operating system to operating system.

You would be better to launch a single worker thread holding a GPU context and use messaging from the other threads to push work onto the GPU. Alternatively there is a context migration facility available in the CUDA driver API, but that will only work with threads from the same process, and the migration mechanism has latency and host CPU overhead.