Parallel Generalized Real Symmetric-Definite Eigenvalue Problem

被引：3

作者：

Sims, James S. ^{[1
]}

Ruiz, Maria Belen ^{[2
]}

机构：

[1] NIST, Sci Applicat & Visualizat Grp, Appl & Computat Math Div, Informat Technol Lab, Gaithersburg, MD 20899 USA

[2] Friedrich Alexander Univ Erlangen Nurnberg, Dept Chem & Pharm, Egerlandstr 3, D-91058 Erlangen, Germany

来源：

JOURNAL OF RESEARCH OF THE NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY | 2020年 / 125卷

关键词：

dense matrix eigensolver; high precision; parallel; CORRESPONDING EIGENVECTORS; ITERATIVE CALCULATION; ALGORITHM; LOWEST;

D O I：

10.6028/jres.125.032

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

A computationally fast Fortran 90+ quadruple precision portable parallel GRSDEP (generalized real symmetric-definite eigenvalue problem) package suitable for large (80,000 x 80,000 or greater) dense matrices is discussed in this paper.

引用

页数：10

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