Stochastic finite element methods for partial differential equations with random input data

MD Gunzburger, CG Webster, G Zhang - Acta Numerica, 2014 - cambridge.org
The quantification of probabilistic uncertainties in the outputs of physical, biological, and
social systems governed by partial differential equations with random inputs require, in …

An extreme-scale implicit solver for complex PDEs: highly heterogeneous flow in earth's mantle

J Rudi, ACI Malossi, T Isaac, G Stadler… - Proceedings of the …, 2015 - dl.acm.org
Mantle convection is the fundamental physical process within earth's interior responsible for
the thermal and geological evolution of the planet, including plate tectonics. The mantle is …

Jet: Fast quantum circuit simulations with parallel task-based tensor-network contraction

T Vincent, LJ O'Riordan, M Andrenkov, J Brown… - Quantum, 2022 - quantum-journal.org
We introduce a new open-source software library $ Jet $, which uses task-based parallelism
to obtain speed-ups in classical tensor-network simulations of quantum circuits. These …

On the cost of iterative computations

E Carson, Z Strakoš - Philosophical Transactions of the …, 2020 - royalsocietypublishing.org
With exascale-level computation on the horizon, the art of predicting the cost of
computations has acquired a renewed focus. This task is especially challenging in the case …

Adaptive precision in block‐Jacobi preconditioning for iterative sparse linear system solvers

H Anzt, J Dongarra, G Flegar… - Concurrency and …, 2019 - Wiley Online Library
We propose an adaptive scheme to reduce communication overhead caused by data
movement by selectively storing the diagonal blocks of a block‐Jacobi preconditioner in …

Entropy stable wall boundary conditions for the three-dimensional compressible Navier–Stokes equations

M Parsani, MH Carpenter, EJ Nielsen - Journal of Computational Physics, 2015 - Elsevier
Non-linear entropy stability and a summation-by-parts framework are used to derive entropy
stable wall boundary conditions for the three-dimensional compressible Navier–Stokes …

[LIVRE][B] Communication-avoiding Krylov subspace methods in theory and practice

EC Carson - 2015 - search.proquest.com
Advancements in the field of high-performance scientific computing are necessary to
address the most important challenges we face in the 21st century. From physical modeling …

Adaptive precision block-Jacobi for high performance preconditioning in the Ginkgo linear algebra software

G Flegar, H Anzt, T Cojean… - ACM Transactions on …, 2021 - dl.acm.org
The use of mixed precision in numerical algorithms is a promising strategy for accelerating
scientific applications. In particular, the adoption of specialized hardware and data formats …

Wave propagation characteristics of parareal

D Ruprecht - Computing and Visualization in Science, 2018 - Springer
The paper derives and analyses the (semi-) discrete dispersion relation of the Parareal
parallel-in-time integration method. It investigates Parareal's wave propagation …

The Peano software—parallel, automaton-based, dynamically adaptive grid traversals

T Weinzierl - ACM Transactions on Mathematical Software (TOMS), 2019 - dl.acm.org
We discuss the design decisions, design alternatives, and rationale behind the third
generation of Peano, a framework for dynamically adaptive Cartesian meshes derived from …