Paper Info
Title
Abstract: Preliminary Report for a High Precision Distributed Memory Parallel Eigenvalue Solver
Abstract
This study covers the design and implementation of a DD (double-double) extended parallel eigenvalue solver, namely QPEigenK. We extended most of underlying numerical software layers from BLAS, LAPACK, and ScaLAPACK as well as MPI. Preliminary results show that QPEigenK performs on several platforms, and shows good accuracy and parallel efficiency. We can conclude that the DD format is reasonable data format instead of real (16) format from the viewpoint of programming and performance.
Year
DOI
Venue
2012
10.1109/SC.Companion.2012.255
SC Companion
Keywords
Field
DocType
digital arithmetic,eigenvalues and eigenfunctions,message passing,BLAS,DD extended parallel eigenvalue solver,LAPACK,MPI,QPEigenK,ScaLAPACK,data format,double-double,high precision distributed memory parallel eigenvalue solver,numerical software layers
Data format,Computer science,Parallel computing,Distributed memory,ScaLAPACK,Solver,Numerical analysis,Eigenvalues and eigenvectors,Message passing,Distributed computing
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Toshiyuki Imamura19522.21
Susumu Yamada2369.54
Masahiko Machida3349.76