A dense out-of-core solver (DOCS) for complex-valued linear systems
Author(s) -
Cullen E. Lee
Publication year - 1998
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Reports
DOI - 10.2172/1326
Subject(s) - solver , computer science , implementation , linear system , computational science , parallel computing , interface (matter) , limit (mathematics) , coefficient matrix , distributed computing , system of linear equations , computational complexity theory , core (optical fiber) , matrix (chemical analysis) , algorithm , mathematics , mathematical analysis , telecommunications , eigenvalues and eigenvectors , physics , geometry , materials science , bubble , quantum mechanics , maximum bubble pressure method , composite material , programming language
Dense systems of linear equations are quite common in many science and engineering applications. Such linear systems place extreme storage and computational demands on computer resources and, in many cases, may severely limit the subsequent analysis. A dense out-of-core solver (DOCS) that operates on a partitioned coefficient matrix can reduce the in-core storage requirements of the linear system while spreading the associated computational burden over multiple processors (which reduces run time as well). In this report, I describe a DOCS that operates on a partitioned coefficient matrix that maybe distributed over multiple external storage devices. I have implemented this solver using Message-Passing Interface (MPI) protocols. This report presents petiormance data from a series of run time trials that compare the run time of both sequential and parallel implementations of the DOCS
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