Hi Ahmed, Am Tue, Aug 23, 2022 at 01:24:25PM +0300 schrieb Ahmed Saied:
Is there possibility to run the OPM flow model on computer GPU instead of the CPU ?
If you compiled flow from source and had opencl and/or cuda installed at the time it is possible to solve the linear systems using the GPU. Please not that the rest of the simulation will still use the CPU, though. Depending on your hardware the performance improvements might vary. You tell flow to use the GPU via command line options: flow --accelerator-mode=opencl MODEL.DATA This will use opencl. You can use other modes, e.g. cusparseSolver for CUDA. Excerpt from flow --help --accelerator-mode=STRING Use GPU (cusparseSolver or openclSolver) or FPGA (fpgaSolver) as the linear solver, usage: '--accelerator-mode=[none|cusparse|opencl|fpga|amgcl]'. Default: "none" --bda-device-id=INTEGER Choose device ID for cusparseSolver or openclSolver, use 'nvidia-smi' or 'clinfo' to determine valid IDs. Default: 0 HTH
What will be the workflow to do the same in case of running the model through Windows and through Ubuntu.
The above is for Linux, e.g. Debian/Ubuntu. I am the wrong person to answer Windows questions, sorry. There is no direct support for it. Only via the Windows for Linux subsystem. See e.g. https://pkirkham.github.io/analysis/running-opm-flow-on-windows-subsystem-for-linux/ As you starting from the command line there, too, the workflow should be exactly the same. Cheers, Markus _______________________________________________ Opm mailing list [email protected] https://opm-project.org/cgi-bin/mailman/listinfo/opm
