Towards a platform-portable linear algebra backend for OpenFOAM

Abstract

Graphics processing unit accelerators have become a widespread technology on modern high performance computing clusters for increasing the performance of scientific computing algorithms. Despite early efforts to adopt linear solvers that utilize graphics processing units for OpenFOAM, to this date no widely accepted approach has gotten traction. In recent years, the number of different vendors providing graphics processing units accelerators has grown, and as of the writing of this paper, no commonly accepted, unified approach to leverage accelerators exists. This makes platform-portable solutions to increase the efficiency of graphics processing units offloading techniques desirable, and an important research topic. In this work, we investigate a platform-portable solution using the Ginkgo sparse linear algebra library.