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Title: Epetra & Tpetra (Sparse linear algebra) overview.

Abstract

Abstract not provided.

Authors:
;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1406842
Report Number(s):
SAND2016-10687C
648532
DOE Contract Number:
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the Trilinos Users' Group Meeting held October 24-26, 2016 in Albuquerque, NM.
Country of Publication:
United States
Language:
English

Citation Formats

Hoemmen, Mark Frederick, and Klinvex, Alicia Marie. Epetra & Tpetra (Sparse linear algebra) overview.. United States: N. p., 2016. Web.
Hoemmen, Mark Frederick, & Klinvex, Alicia Marie. Epetra & Tpetra (Sparse linear algebra) overview.. United States.
Hoemmen, Mark Frederick, and Klinvex, Alicia Marie. 2016. "Epetra & Tpetra (Sparse linear algebra) overview.". United States. doi:. https://www.osti.gov/servlets/purl/1406842.
@article{osti_1406842,
title = {Epetra & Tpetra (Sparse linear algebra) overview.},
author = {Hoemmen, Mark Frederick and Klinvex, Alicia Marie},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2016,
month =
}

Conference:
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  • Abstract not provided.
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  • A Sparse Linear Algebra Package (SLAP), written in FORTRAN77, for the iterative solution of large sparse symmetric and non-symmetric linear systems is presented. SLAP Version 2.0 consists of three levels of routines: ''high level'', ''core'' and ''utility.'' The ''core'' routines implement the following preconditioned iterative methods: iterative refinement, conjugate gradient, conjugate gradient on the normal equations, bi-conjugate gradient, bi-conjugate gradient squared, orthomin and generalized minimum residual. All of these methods do not require the data structure of the matrix being solved nor of the preconditioning matrix, but do require the ''user'' to supply a matrix vector product and preconditioning routines.more » The ''high level'' routines assume one of two specific data structures and provide the required ''user routines.'' The preconditioners supported are diagonal scaling and incomplete factorization. One of the SLAP data structures allows for the vectorization of the matrix multiply and the backsolve of the incomplete factorization operations on machines with hardware gather/scatter capabilities. We present results for SLAP on the Cray Y/MP and Alliant FX/8 machines. 10 refs., 3 figs., 10 tabs.« less
  • Epetra provides the fundamental construction routines and service functions that are required for serial and paraliellinear algebra libraries using double precision scalar values and int ordinal values.