This book describes, in a basic way, the most useful and effective iterative solvers and
appropriate preconditioning techniques for some of the most important classes of large and …

Linear solvers for large and sparse systems are a key element of scientific applications, and
their efficient implementation is necessary to harness the computational power of current …

Domain decomposition ideas have long been an essential tool for the solution of PDEs on
parallel computers. In recent years many research efforts have been focused on recursively …

We present a package of parallel preconditioners which implements one-level and two-level
Domain Decomposition algorithms on the top of the PSBLAS library for sparse matrix …

Design and implementation issues that concern the development of a package of parallel
algebraic two-level Schwarz preconditioners are discussed. The computations are based on …

This paper presents a new software framework for solving large and sparse linear systems
on current hybrid architectures, from small servers to high-end supercomputers, embedding …

The solution of large and sparse linear systems is one of the main computational kernels in
CFD applications and is often a very time-consuming task, thus requiring the use of effective …

We focus on the extension of the MLD2P4 package of parallel Algebraic MultiGrid (AMG)
preconditioners, with the objective of improving its robustness and efficiency when dealing …

In this work we analyze the behaviour of multilevel Domain Decomposition preconditioners,
coupled with Krylov solvers, in the solution of linear systems arising in the application of a …

FAST-EVP is a simulation tool for internal combustion engines running on cluster platforms;
it has evolved from the KIVA-3V code base, but has been extensively rewritten making use …