For computeĬapability SM 3.5 through SM 6.0 the limit is 16 clients per GPU at a time.Ĭompute capability SM 7.0 has a limit of 48. An MPS server can support a finite amount of CUDA contextsĭetermined by the hardware architecture it is running on. The MPS server creates the shared GPU context, and manages itsĬlients. New server with the user id same as that of the queued client process. Once the existing server has terminated, the control daemon launches a Requests the existing server to shutdown as soon as all its clients areĭone. With a different user id than that of the client process, the control daemon If there's an MPS server already running, but If there's no MPS server already running on the system, theĬontrol daemon launches an MPS server with the same user id (UID) as that of Simply notifies the client process of it, which then proceeds to connect to Process matches that of the requesting client process, the control daemon There's an MPS server already running, and the user id of that server However, the connection attempt to the control daemon succeeds, the CUDAĭriver then requests the daemon to start an MPS server on its behalf. If the connection attemptįails, the program continues to run as it normally would without MPS. When CUDA is first initialized in a program, the CUDA driverĪttempts to connect to the MPS control daemon. A CUDA program runs in MPS mode if the MPS control daemon is Using CUDA to run concurrently in a way that's transparent to the MPI MPS is a runtime service designed to let multiple MPI processes Nvidia-cuda-mps-control - NVIDIA CUDA Multi Process Service
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