Sparse solvers provide essential functionality for a wide variety of scientific applications.
Highly parallel sparse solvers are essential for continuing advances in high-fidelity, multi …

A novel approach and finite element formulation for modeling the melting, consolidation, and
re-solidification process that occurs in selective laser melting additive manufacturing is …

This is the official user guide for MUELU multigrid library in Trilinos version 12.13 (Dev). This
guide provides an overview of MUELU, its capabilities, and instructions for new users who …

We propose a new algorithm for the fast solution of large, sparse, symmetric positive-definite
linear systems, spaND (sparsified Nested Dissection). It is based on nested dissection …

This is the official user guide for MUELU multigrid library in Trilinos version 11.12. This guide
provides an overview of MUELU, its capabilities, and instructions for new users who want to …

Multigrid solvers for semistructured meshes are developed. Such semistructured meshes
provide flexibility to address complex computational domains while still allowing most …

Graph partitioning has been an important tool to partition the work among several
processors to minimize the communication cost and balance the workload. While …

Aims. We present a new radiation hydrodynamics code called ARK-RT which uses a two-
moment model with the M 1 closure relation for radiative transfer. This code was designed to …

Sparse linear iterative solvers are essential for many large-scale simulations. Much of the
runtime of these solvers is often spent in the implicit evaluation of matrix polynomials via a …

High-resolution simulations of polar ice sheets play a crucial role in the ongoing effort to
develop more accurate and reliable Earth system models for probabilistic sea-level …