Hello, I am wondering if someone can provide a bit more descriptions on these parameters to optimize performance. As far as I know, when using multiple GPUs, I had to select local-rank for device-id and cuda-aware for mpi-type. When exactly should i be using round-robin and local-rank? And when sh…

Hi Junting, As far as I know, when using multiple GPUs, I had to select local-rank for device-id and cuda-aware for mpi-type. When exactly should i be using round-robin and local-rank? And when should i be using standard or cuda-aware? If the GPUs in your system are in compute exclusive mode …

Thanks Freddie, So when starting a run, do you usually play with the GiMMiK cutoff a bit to find the most optimized value (does it influence the performance significantly / worth the effort of finding the optimized value)? What’s the range of this value? Is a power of 2 (example uses 512) somewhat …

Hi Junting, The values I would try are 0 (disables GiMMiK), 512 (the default), and 8192. There is nothing special about the number being a power of two. Regards, Freddie.

Cuda backend parameters

General

Topic		Replies	Views
About running PyFR on multiple GPUs General	7	348	17 April 2015
GPU ID and GPU multiply tasking Cases	5	597	6 September 2022
Memory on CUDA GPU backend General	14	1124	18 November 2021
Error: CUDAOutofMemory on A30 Errors config , cuda	11	306	10 February 2024
MPI run error with cuda General	9	457	27 June 2022

Cuda backend parameters

Related topics