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» Distributed Sparse Matrices for Very High Level Languages
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AC
2008
Springer
13 years 5 months ago
Distributed Sparse Matrices for Very High Level Languages
Sparse matrices are first class objects in many VHLLs (very high level languages) used for scientific computing. They are a basic building block for various numerical and combinat...
John R. Gilbert, Steve Reinhardt, Viral Shah
IPPS
2005
IEEE
13 years 10 months ago
Automatic Support for Irregular Computations in a High-Level Language
The problem of writing high performance parallel applications becomes even more challenging when irregular, sparse or adaptive methods are employed. In this paper we introduce com...
Jimmy Su, Katherine A. Yelick
SIAMSC
2011
140views more  SIAMSC 2011»
12 years 7 months ago
A Fast Parallel Algorithm for Selected Inversion of Structured Sparse Matrices with Application to 2D Electronic Structure Calcu
Abstract. An efficient parallel algorithm is presented and tested for computing selected components of H−1 where H has the structure of a Hamiltonian matrix of two-dimensional la...
Lin Lin, Chao Yang, Jianfeng Lu, Lexing Ying, Wein...
CPHYSICS
2007
222views more  CPHYSICS 2007»
13 years 4 months ago
JADAMILU: a software code for computing selected eigenvalues of large sparse symmetric matrices
A new software code for computing selected eigenvalues and associated eigenvectors of a real symmetric matrix is described. The eigenvalues are either the smallest or those closes...
Matthias Bollhöfer, Yvan Notay
HPCN
1997
Springer
13 years 9 months ago
Parallel Solution of Irregular, Sparse Matrix Problems Using High Performance Fortran
For regular, sparse, linear systems, like those derived from regular grids, using High Performance Fortran (HPF) for iterative solvers is straightforward. However, for irregular ma...
Eric de Sturler, Damian Loher