. The Numerical Algorithms Group Ltd is currently participating in the European HPCN Fourth Framework project on Parallel I ndustrial NumE rical Applications and Portable Libraries (PINEAPL). One of the main goals of the project is to increase the suitability of the existing NAG Parallel Library for dealing with computationally intensive industrial applications by appropriately extending the range of library routines. Additionally, several industrial applications are being ported onto parallel computers within the PINEAPL project by replacing sequential code sections with calls to appropriate parallel library routines. A substantial part of the library material being developed is concerned with the solution of PDE problems using parallel sp...
AbstractCoarse grain parallel codes for solving sparse systems of linear algebraic equations can be ...
Gary Kumfert and Alex Pothen have improved the quality and run time of two ordering algorithms for m...
Sparse matrix-vector multiplication is the kernel for many scientific computations. Parallelizing th...
. The NAG Parallel Library enables users to take advantage of the increased computing power and memo...
This paper describes two portable packages for general-purpose sparse matrix computations: SPARSKIT...
PINEAPL (Parallel Industrial NumErical Applications and Portable Libraries) is an ESPRIT project, in...
This paper presents a new software framework for solving large and sparse linear systems on current ...
Abstract. Sparse matrix-matrix multiplication (or SpGEMM) is a key primitive for many high-performan...
Vector computers have been extensively used for years in matrix algebra to treat with large dense ma...
This paper presents a new software framework for solving large and sparse linear systems on current ...
Algorithms are often parallelized based on data dependence analysis manually or by means of parallel...
Many computationally intensive problems in engineering and science, such as those driven by Partial ...
Many computationally intensive problems in engineering and science give rise to the solution of larg...
This book is primarily intended as a research monograph that could also be used in graduate courses ...
Sparse matrices are first class objects in many VHLLs (very high level languages) used for scientifi...
AbstractCoarse grain parallel codes for solving sparse systems of linear algebraic equations can be ...
Gary Kumfert and Alex Pothen have improved the quality and run time of two ordering algorithms for m...
Sparse matrix-vector multiplication is the kernel for many scientific computations. Parallelizing th...
. The NAG Parallel Library enables users to take advantage of the increased computing power and memo...
This paper describes two portable packages for general-purpose sparse matrix computations: SPARSKIT...
PINEAPL (Parallel Industrial NumErical Applications and Portable Libraries) is an ESPRIT project, in...
This paper presents a new software framework for solving large and sparse linear systems on current ...
Abstract. Sparse matrix-matrix multiplication (or SpGEMM) is a key primitive for many high-performan...
Vector computers have been extensively used for years in matrix algebra to treat with large dense ma...
This paper presents a new software framework for solving large and sparse linear systems on current ...
Algorithms are often parallelized based on data dependence analysis manually or by means of parallel...
Many computationally intensive problems in engineering and science, such as those driven by Partial ...
Many computationally intensive problems in engineering and science give rise to the solution of larg...
This book is primarily intended as a research monograph that could also be used in graduate courses ...
Sparse matrices are first class objects in many VHLLs (very high level languages) used for scientifi...
AbstractCoarse grain parallel codes for solving sparse systems of linear algebraic equations can be ...
Gary Kumfert and Alex Pothen have improved the quality and run time of two ordering algorithms for m...
Sparse matrix-vector multiplication is the kernel for many scientific computations. Parallelizing th...