DocumentCode :
1918969
Title :
Poster: Preliminary Report for a High Precision Distributed Memory Parallel Eigenvalue Solver
Author :
Imamura, Toshiyuki ; Yamada, Susumu ; Machida, Masahiko
fYear :
2012
fDate :
10-16 Nov. 2012
Firstpage :
1456
Lastpage :
1456
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.
Keywords :
distributed memory parallelism; double-double data format; parallel eigenvalue solver;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Performance Computing, Networking, Storage and Analysis (SCC), 2012 SC Companion:
Conference_Location :
Salt Lake City, UT
Print_ISBN :
978-1-4673-6218-4
Type :
conf
DOI :
10.1109/SC.Companion.2012.256
Filename :
6496039
Link To Document :
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