Many advances in the development of Krylov subspace methods for the iterative solution of
linear systems during the last decade and a half are reviewed. These new developments …

This paper is about GMRES algorithms for the solution of nonsingular linear systems. We
first consider basic algorithms and study their convergence. We then focus on acceleration …

Sparse matrix–vector multiplication is an important computational kernel that performs
poorly on most modern processors due to a low compute-to-memory ratio and irregular …

This dissertation presents an automated system to generate highly efficient, platform-
adapted implementations of sparse matrix kernels. We show that conventional …

The paper presents AMGCL—an opensource C++ library implementing the algebraic
multigrid method (AMG) for solution of large sparse linear systems of equations, usually …

One of the main obstacles to the efficient solution of scientific problems is the problem of
tuning software, both to the available architecture and to the user problem at hand. We …

We improve the performance of sparse matrix-vector multiplication (SpMV) on modern cache-
based superscalar machines when the matrix structure consists of multiple, irregularly …

Plasmonic red shifts of nanoparticles are commonly used in imaging technologies to probe
the character of local environments, and the understanding of their dependence on size …

The emerging technology of dynamic metasurface antennas (DMAs) offers a promising
solution to revolutionize future wireless communications by reducing hardware costs …

Ocean‐basin‐scale climate variability produces shifts in wave climates and water levels
affecting the coastlines of the basin. Here we present a hybrid shoreline change—foredune …