The huge amount of memory is needed for solving the large-scale linear equations. However, many problems can not be calculated due to the limitation of the computer’s physical memory. To solve the above problem, One Out-of-Core solving method using the hard disk instead of memory is proposed in this paper. The data are read and written concentratively by blocks, thus the solving time of the problem can be greatly shortened. The experiments indicate that the method can solve the larger-scale linear equations efficiently, the solving time is only 5.7% more than In-Core method
This report has been developed over the work done in the deliverable [Nava94] There it was shown tha...
(eng) The memory usage of sparse direct solvers can be the bottleneck to solve large-scale problems ...
In practice, many large-scale linear programming problems are too large to be solved effectively due...
The huge amount of memory is needed for solving the large-scale linear equations. However, many prob...
This research evaluates the applicability to microcomputers of various methods for determining the s...
International audienceABSTRACT The memory usage of sparse direct solvers can be the bottleneck to so...
Abstract: Few realize that, for large matrices, many dense matrix computations achieve nearly the sa...
AbstractThe solution of linear systems continues to play an important role in scientific computing. ...
This paper discusses the multifrontal direct solution method with out of core storage for large scal...
We provide experimental evidence that current desktop computers feature enough computational power t...
Dense systems of linear equations are quite common in many science and engineering applications. Suc...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/16...
A simplex-based method of solving specific classes of large-scale linear programs is presented. The ...
In this paper, we describe the design and implementation of the Platform Independent Parallel Solver...
The increasing gap between processor performance and memory access time warrants the re-examination ...
This report has been developed over the work done in the deliverable [Nava94] There it was shown tha...
(eng) The memory usage of sparse direct solvers can be the bottleneck to solve large-scale problems ...
In practice, many large-scale linear programming problems are too large to be solved effectively due...
The huge amount of memory is needed for solving the large-scale linear equations. However, many prob...
This research evaluates the applicability to microcomputers of various methods for determining the s...
International audienceABSTRACT The memory usage of sparse direct solvers can be the bottleneck to so...
Abstract: Few realize that, for large matrices, many dense matrix computations achieve nearly the sa...
AbstractThe solution of linear systems continues to play an important role in scientific computing. ...
This paper discusses the multifrontal direct solution method with out of core storage for large scal...
We provide experimental evidence that current desktop computers feature enough computational power t...
Dense systems of linear equations are quite common in many science and engineering applications. Suc...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/16...
A simplex-based method of solving specific classes of large-scale linear programs is presented. The ...
In this paper, we describe the design and implementation of the Platform Independent Parallel Solver...
The increasing gap between processor performance and memory access time warrants the re-examination ...
This report has been developed over the work done in the deliverable [Nava94] There it was shown tha...
(eng) The memory usage of sparse direct solvers can be the bottleneck to solve large-scale problems ...
In practice, many large-scale linear programming problems are too large to be solved effectively due...