most citedEfficient Exascale Discretizations: High-Order Finite Element Methods

66 citations · 68 across the 3 of their papers we have counts for

collaborators

5 papers

cs.DC2021

GPU Algorithms for Efficient Exascale Discretizations

Ahmad Abdelfattah, Valeria Barra, Natalie Beams +24

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-t…

cs.DC202166 cited

Efficient Exascale Discretizations: High-Order Finite Element Methods

Tzanio Kolev, Paul Fischer, Misun Min +27

Efficient exploitation of exascale architectures requires rethinking of the numerical algorithms used in many large-scale applications. These architectures favor algorithms that ex…

math.NA2021

A Local Discontinuous Galerkin Level Set Reinitialization with Subcell Stabilization on Unstructured Meshes

Ali Karakus, Noel Chalmers, Tim Warburton

In this paper we consider a level set reinitialization technique based on a high-order, local discontinuous Galerkin method on unstructured triangular meshes. A finite volume based…

cs.PF20212 cited

NekRS, a GPU-Accelerated Spectral Element Navier-Stokes Solver

Paul Fischer, Stefan Kerkemeier, Misun Min +8

The development of NekRS, a GPU-oriented thermal-fluids simulation code based on the spectral element method (SEM) is described. For performance portability, the code is based on t…

cs.MS2017

Acceleration of tensor-product operations for high-order finite element methods

Kasia Świrydowicz, Noel Chalmers, Ali Karakus +1

This paper is devoted to GPU kernel optimization and performance analysis of three tensor-product operators arising in finite element methods. We provide a mathematical background…