PSPASES: Scalable Parallel Direct Solver Library for Sparse Symmetric Positive Definite Linear Systems
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PSPASES: Scalable Parallel Direct Solver Library for Sparse Symmetric Positive Definite Linear Systems
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1997
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Report
Abstract
PSPASES (Parallel SPArse Symmetric dirEct Solver) is a MPl-based parallel stand-alone library
intended to solve a system of linear equations, AX = B, where A is a sparse symmetric positive definite
matrix. PSPASES solves the given system using the direct method of solution, which consists
of four consecutive stages of processing: ordering, symbolic factorization, Cholesky factorization,
and triangular systems solution. Each of these phases is implemented using the scalable and high
performance algorithms developed by the authors [1, 4, 2, 3].
PSPASES can be used on any parallel computer or network of workstations equipped with MPI,
and Fortran-90 and C language compilers. It has been tested on IBM SP, network of IBM RS6000
workstations, SGI Power Challenge, SGI Origin 2000, and Cray T3E.
A faster version with enhanced functionality for IBM RS6000 workstations and IBM SP parallel
computers is available as WSSMP [5].
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Technical Report; 97-059
Funding information
This work was supported by NSF CCR-9423082, by Army Research Office contract DA/DAAH04-95-l-0538, by
Army High Performance Computing Research Center cooperative agreement number DAAH04-95-2-0003/contract
number DAAH04-95-C-0008, by the IBM Partnership Award, and by the IBM SUR equipment grant. Access to
computing facilities was provided by AHPCRC, Minnesota Supercomputer Institute.
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Joshi, Mahesh; Karypis, George; Kumar, Vipin. (1997). PSPASES: Scalable Parallel Direct Solver Library for Sparse Symmetric Positive Definite Linear Systems. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/215344.
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