activity
20192026
most citedMFEM: a modular finite element methods library

456 citations · 575 across the 8 of their papers we have counts for

collaborators

9 papers

physics.comp-ph2026

Implicit Lagrangian Hydrodynamics with High-Order Finite Elements

Julian Andrej, John Camier, Veselin Dobrev +6

We present an implicit time integration capability for high-order curvilinear finite element Lagrangian hydrodynamics. Starting from an existing explicit formulation, the implicit…

cs.DC2025★ 6 cited

Real-time Bayesian inference at extreme scale: A digital twin for tsunami early warning applied to the Cascadia subduction zone

Stefan Henneking, Sreeram Venkat, Veselin Dobrev +5

We present a Bayesian inversion-based digital twin that employs acoustic pressure data from seafloor sensors, along with 3D coupled acoustic-gravity wave equations, to infer earthq…

cs.MS2024★ 21 cited

High-performance finite elements with MFEM

Julian Andrej, Nabil Atallah, Jan-Phillip Bäcker +15

The MFEM (Modular Finite Element Methods) library is a high-performance C++ library for finite element discretizations. MFEM supports numerous types of finite element methods and i…

cs.MS2022★ 10 cited

End-to-end GPU acceleration of low-order-refined preconditioning for high-order finite element discretizations

Will Pazner, Tzanio Kolev, Jean-Sylvain Camier

In this paper, we present algorithms and implementations for the end-to-end GPU acceleration of matrix-free low-order-refined preconditioning of high-order finite element problems.…

cs.MS2022★ 14 cited

Accelerating High-Order Mesh Optimization Using Finite Element Partial Assembly on GPUs

Jean-Sylvain Camier, Veselin Dobrev, Patrick Knupp +4

In this paper we present a new GPU-oriented mesh optimization method based on high-order finite elements. Our approach relies on node movement with fixed topology, through the Targ…

cs.MS2021★ 1 cited

Matrix-free approaches for GPU acceleration of a high-order finite element hydrodynamics application using MFEM, Umpire, and RAJA

Arturo Vargas, Thomas M. Stitt, Kenneth Weiss +4

With the introduction of advanced heterogeneous computing architectures based on GPU accelerators, large-scale production codes have had to rethink their numerical algorithms and i…

cs.DC2021★ 66 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…

cs.PF2020★ 1 cited

Scalability of High-Performance PDE Solvers

Paul Fischer, Misun Min, Thilina Rathnayake +8

Performance tests and analyses are critical to effective HPC software development and are central components in the design and implementation of computational algorithms for achiev…

cs.MS2019★ 456 cited

MFEM: a modular finite element methods library

Robert Anderson, Julian Andrej, Andrew Barker +13

MFEM is an open-source, lightweight, flexible and scalable C++ library for modular finite element methods that features arbitrary high-order finite element meshes and spaces, suppo…