Abstract- The basic problems in developing parallel direct solvers of sparse systems of linear equations are discussed in this report. These problems, including the storage schemes of sparse matrices, the running environment of the programs, and the parallelization of the sequential algorithms, are handled while keeping current parallel computer architectures in mind. The behavior of the parallel machines used for the underlying problem is also discussed in this report. The problem is applied over two different parallel environments: the Parallel Virtual Machine (PVM) and the nCUBE machine (Hypercube). Test results for both versions are analyzed in terms of the machine structure and algorithm design. 1
Many computationally intensive problems in engineering and science, such as those driven by Partial ...
Sparse matrix computations play an important role in iterative methods to solve systems of equations...
Gary Kumfert and Alex Pothen have improved the quality and run time of two ordering algorithms for m...
The paper deals with parallel approach for the numerical solution of large, sparse, non-symmetric sy...
We present an overview of parallel direct methods for solving sparse systems of linear equations, fo...
In this review paper, we consider some important developments and trends in algorithm design for t...
The paper deals with parallel approach for the numerical solution of large, sparse, non-symmetric sy...
The need to solve large sparse linear systems of equations efficiently lies at the heart of many app...
International audienceIn this talk we will discuss our research activities on the design of parallel...
Many computationally intensive problems in engineering and science give rise to the solution of larg...
Many computationally intensive problems in engineering and science give rise to the solution of larg...
Vector computers have been extensively used for years in matrix algebra to treat with large dense ma...
Many computationally intensive problems in engineering and science, such as those driven by Partial ...
The solution of large sparse linear systems is often the most time-consuming part of many science an...
The solution of large sparse linear systems is often the most time-consuming part of many science an...
Many computationally intensive problems in engineering and science, such as those driven by Partial ...
Sparse matrix computations play an important role in iterative methods to solve systems of equations...
Gary Kumfert and Alex Pothen have improved the quality and run time of two ordering algorithms for m...
The paper deals with parallel approach for the numerical solution of large, sparse, non-symmetric sy...
We present an overview of parallel direct methods for solving sparse systems of linear equations, fo...
In this review paper, we consider some important developments and trends in algorithm design for t...
The paper deals with parallel approach for the numerical solution of large, sparse, non-symmetric sy...
The need to solve large sparse linear systems of equations efficiently lies at the heart of many app...
International audienceIn this talk we will discuss our research activities on the design of parallel...
Many computationally intensive problems in engineering and science give rise to the solution of larg...
Many computationally intensive problems in engineering and science give rise to the solution of larg...
Vector computers have been extensively used for years in matrix algebra to treat with large dense ma...
Many computationally intensive problems in engineering and science, such as those driven by Partial ...
The solution of large sparse linear systems is often the most time-consuming part of many science an...
The solution of large sparse linear systems is often the most time-consuming part of many science an...
Many computationally intensive problems in engineering and science, such as those driven by Partial ...
Sparse matrix computations play an important role in iterative methods to solve systems of equations...
Gary Kumfert and Alex Pothen have improved the quality and run time of two ordering algorithms for m...