Abstract deal. II is a state-of-the-art finite element library focused on generality, dimension-
independent programming, parallelism, and extensibility. Herein, we outline its primary …

In January 2019, the US Department of Energy, Office of Science program in Advanced
Scientific Computing Research, convened a workshop to identify priority research directions …

Ginkgo is a production-ready sparse linear algebra library for high performance computing
on GPU-centric architectures with a high level of performance portability and focuses on …

The Spherical Tokamak for Energy Production (STEP) programme is an ambitious but
challenging endeavour to design and deliver a prototype fusion power plant. It is a rapid, fast …

We have ported the numerical factorization and triangular solve phases of the sparse direct
solver STRUMPACK to GPU. STRUMPACK implements sparse LU factorization using the …

This work investigates matrix‐free algorithms for problems in quasi‐static finite‐strain
hyperelasticity. Iterative solvers with matrix‐free operator evaluation have emerged as an …

Algebraic multigrid (AMG) methods are particularly efficient to solve a wide range of sparse
linear systems, due to their good flexibility and adaptability. Even though modern parallel …

Almost all applications stop scaling at some point; those that don't are seldom performant
when considering time to solution on anything but aspirational/unicorn resources …

Contemporary applications in computational science and engineering often require the
solution of linear systems which may be of different sizes, shapes, and structures. The goal …

The Exascale Computing Project (ECP) Software Technology (ST) Focus Area is
responsible for developing critical software capabilities that will enable successful execution …