Using AmgX to Accelerate PETSc-Based CFD Codes

[This file set supplements the presentation by Pi-Yueh Chuang at 2016 GPU Technology Conference, on Thu. April 7th: see session S6355.]<br>Please cite as:<br>Chuang, Pi-Yueh; Barba, Lorena A. (2017): Using AmgX to Accelerate PETSc-Based CFD Codes. figshare.https://doi.org/10.6084/m9.figshare.5018774.v1<br>The file set includes a Jupyter notebook that reports how we accelerated our PETSc-based CFD solver, PetIBM, with multi-GPU capability enabled through AmgX library. PETSc, developed by Argonne National Laboratory, is a toolkit for parallel scientific computing. AmgX is an NVIDIA library providing multigrid preconditioners and Krylov linear solvers. It features the capability of multi-GPU computing through MPI. We developed AmgXWrapper to couple PETSc and AmgX, so that we can easily integrate AmgX into PetIBM with less than 10 lines of code modification.<br>The links in references are:* Video record of GTC 2016 presentation* Rendered version of the notebook viewed on nbviewer* GitHub repository of AmgXWrapper* GitHub repository of PetIBM<br>