Title
GPU algorithms for Efficient Exascale Discretizations
Abstract
In this paper we describe the research and development activities in the Center for Efficient Exascale Discretization within the US Exascale Computing Project, targeting state-of-the-art high-order finite-element algorithms for high-order applications on GPU-accelerated platforms. We discuss the GPU developments in several components of the CEED software stack, including the libCEED, MAGMA, MFEM, libParanumal, and Nek projects. We report performance and capability improvements in several CEED-enabled applications on both NVIDIA and AMD GPU systems.
Year
DOI
Venue
2021
10.1016/j.parco.2021.102841
PARALLEL COMPUTING
Keywords
DocType
Volume
High-performance computing, GPU acceleration, High-order discretizations, Finite element methods, Exascale applications
Journal
108
ISSN
Citations 
PageRank 
0167-8191
1
0.36
References 
Authors
0
27