In this thesis I present the software packages Diffpack, a tool for solving partial differential equations, Sparskit, a tool for sparse matrix computations, and pARMS, a tool for solving sparse linear systems on parallel computers. I show how to integrate Sparskit and pARMS solvers and preconditioners with Diffpack in an efficient manner. I also give two application examples where the integration of pARMS preconditioners speeds up Diffpack simulators significantly
We consider the use of software for the direct solution of sparse linear equations within a stiff in...
Sparse matrix computations arise in many scientific computing problems and for some (e.g.: iterative...
Multiphysics simulations are at the core of modern Computer Aided Engineering (CAE) allowing the ana...
This paper describes two portable packages for general-purpose sparse matrix computations: SPARSKIT...
This paper discusses parGeMSLR, a C++/MPI software library for the solution of sparse systems of lin...
Gary Kumfert and Alex Pothen have improved the quality and run time of two ordering algorithms for m...
For many large-scale applications, solving large sparse linear systems is the most time-consuming pa...
A parallel implementation of a sparse approximate inverse (spai) preconditioner for distributed memo...
The use of implicit methods for numerically solving stiff systems of differential equations requires...
AbstractThe use of implicit methods for numerically solving stiff systems of differential equations ...
A popular class of preconditioners is known as incomplete factorizations. They can be thought of as ...
Goal of the PARFEM project was the development of software tools and methods to support the efficien...
This paper presents a new software framework for solving large and sparse linear systems on current ...
The Factorized Sparse Approximate Inverse (FSAI) is an efficient technique for preconditioning paral...
We present a package of parallel preconditioners which implements one-level and two-level Domain Dec...
We consider the use of software for the direct solution of sparse linear equations within a stiff in...
Sparse matrix computations arise in many scientific computing problems and for some (e.g.: iterative...
Multiphysics simulations are at the core of modern Computer Aided Engineering (CAE) allowing the ana...
This paper describes two portable packages for general-purpose sparse matrix computations: SPARSKIT...
This paper discusses parGeMSLR, a C++/MPI software library for the solution of sparse systems of lin...
Gary Kumfert and Alex Pothen have improved the quality and run time of two ordering algorithms for m...
For many large-scale applications, solving large sparse linear systems is the most time-consuming pa...
A parallel implementation of a sparse approximate inverse (spai) preconditioner for distributed memo...
The use of implicit methods for numerically solving stiff systems of differential equations requires...
AbstractThe use of implicit methods for numerically solving stiff systems of differential equations ...
A popular class of preconditioners is known as incomplete factorizations. They can be thought of as ...
Goal of the PARFEM project was the development of software tools and methods to support the efficien...
This paper presents a new software framework for solving large and sparse linear systems on current ...
The Factorized Sparse Approximate Inverse (FSAI) is an efficient technique for preconditioning paral...
We present a package of parallel preconditioners which implements one-level and two-level Domain Dec...
We consider the use of software for the direct solution of sparse linear equations within a stiff in...
Sparse matrix computations arise in many scientific computing problems and for some (e.g.: iterative...
Multiphysics simulations are at the core of modern Computer Aided Engineering (CAE) allowing the ana...