BlockSolve is a software library for solving large, sparse systems of linear equations on massively parallel computers. The matrices must be symmetric, but may have an arbitrary sparsity structure. BlockSolve is a portable package that is compatible with several different message-passing pardigms. This report gives detailed instructions on the use of BlockSolve in applications programs. This work was supported by the Office of Scientific Computing, U.S. Department of Energy, under Contract W-31-109-Eng-38. Contents 1 Introduction 3 2 Algorithm Descriptions 3 3 Using BlockSolve 5 3.1 The Context : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 5 3.2 The User Matrix Data Structure : : : : : : : : : : : : : : : : : : : : : ...
This paper describes the design of ScaLAPACK, a scalable software library for performing dense and b...
Cataloged from PDF version of article.Thesis (Ph.D.): Bilkent University, Department of Computer Eng...
The need to solve large sparse linear systems of equations efficiently lies at the heart of many app...
BlockSolve is a software library for solving large, sparse systems of linear equations on massively ...
BlockSolve95 is a software library for solving large, sparse systems of linear equations on massivel...
BlockSolve is a software library for solving large, sparse systems of linear equations on massively ...
BlockSolve is a software library for solving large, sparse systems of linear equations on massively ...
Many computationally intensive problems in engineering and science give rise to the solution of larg...
. The efficiency of solving sparse linear systems on parallel processors and more complex multiclust...
Sparse matrix computations arise in many scientific computing problems and for some (e.g.: iterative...
This report has been developed over the work done in the deliverable [Nava94] There it was shown tha...
Gary Kumfert and Alex Pothen have improved the quality and run time of two ordering algorithms for m...
Research is on-going that examines parallel direct block-diagonal-bordered sparse linear solvers for...
Vector computers have been extensively used for years in matrix algebra to treat with large dense ma...
This paper evaluates portable software packages for the iterative solution of very large sparse lin...
This paper describes the design of ScaLAPACK, a scalable software library for performing dense and b...
Cataloged from PDF version of article.Thesis (Ph.D.): Bilkent University, Department of Computer Eng...
The need to solve large sparse linear systems of equations efficiently lies at the heart of many app...
BlockSolve is a software library for solving large, sparse systems of linear equations on massively ...
BlockSolve95 is a software library for solving large, sparse systems of linear equations on massivel...
BlockSolve is a software library for solving large, sparse systems of linear equations on massively ...
BlockSolve is a software library for solving large, sparse systems of linear equations on massively ...
Many computationally intensive problems in engineering and science give rise to the solution of larg...
. The efficiency of solving sparse linear systems on parallel processors and more complex multiclust...
Sparse matrix computations arise in many scientific computing problems and for some (e.g.: iterative...
This report has been developed over the work done in the deliverable [Nava94] There it was shown tha...
Gary Kumfert and Alex Pothen have improved the quality and run time of two ordering algorithms for m...
Research is on-going that examines parallel direct block-diagonal-bordered sparse linear solvers for...
Vector computers have been extensively used for years in matrix algebra to treat with large dense ma...
This paper evaluates portable software packages for the iterative solution of very large sparse lin...
This paper describes the design of ScaLAPACK, a scalable software library for performing dense and b...
Cataloged from PDF version of article.Thesis (Ph.D.): Bilkent University, Department of Computer Eng...
The need to solve large sparse linear systems of equations efficiently lies at the heart of many app...