NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.

Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.

U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

PUBLICATIONS

Parallel Generalized Real Symmetric-Definite Eigenvalue Problem

Published

Author(s)

James S. Sims, Maria B. Ruiz

Abstract

A computationally fast Fortran 90+ quadruple precision portable parallel GRS- DEP (generalized real symmetric-definite eigenvalue problem) package suitable for large (80,000 x 80,000 or greater) dense matrices is discussed in this paper.
Citation
Journal of Research (NIST JRES) -
Volume
125
NIST Pub Series
Journal of Research (NIST JRES)
Pub Type
NIST Pubs

Download Paper

https://doi.org/10.6028/jres.125.032
Local Download

Keywords

dense matrix eigensolver, high precision, parallel

Citation

Sims, J. and Ruiz, M. (2020), Parallel Generalized Real Symmetric-Definite Eigenvalue Problem, Journal of Research (NIST JRES), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/jres.125.032 (Accessed October 7, 2025)

Issues

If you have any questions about this publication or are having problems accessing it, please contact [email protected].

Created November 5, 2020, Updated March 1, 2021
Was this page helpful?