Parallel Generalized Real Symmetric-Definite Eigenvalue Problem
Author(s) -
James S. Sims,
María Belén Ruiz
Publication year - 2020
Publication title -
journal of research of the national institute of standards and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.202
H-Index - 59
eISSN - 2165-7254
pISSN - 1044-677X
DOI - 10.6028/jres.125.032
Subject(s) - eigenvalues and eigenvectors , fortran , positive definite matrix , divide and conquer eigenvalue algorithm , mathematics , computer science , symmetric matrix , algorithm , physics , quantum mechanics , operating system
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.
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