SCHEDULE: NOV 10-16, 2012
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Preliminary Report for a High Precision Distributed Memory Parallel Eigenvalue Solver
SESSION: Research Poster Reception
EVENT TYPE: Posters and Electronic Posters
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Toshiyuki Imamura, Susumu Yamada, Masahiko Machida
ROOM:East Entrance
ABSTRACT:
This study covers design and implementation of a DD (double-double) extended parallel eigenvalue solver, namely DD-Eigen. We extended most of underlying numerical software layers from BLAS, LAPACK, and ScaLAPACK as well as MPI. Preliminary results shows that DD-Eigen 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.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Toshiyuki Imamura - RIKEN
Susumu Yamada - Japan Atomic Energy Agency
Masahiko Machida - Japan Atomic Energy Agency
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Preliminary Report for a High Precision Distributed Memory Parallel Eigenvalue Solver
SESSION: Research Poster Reception
EVENT TYPE:
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Toshiyuki Imamura, Susumu Yamada, Masahiko Machida
ROOM:East Entrance
ABSTRACT:
This study covers design and implementation of a DD (double-double) extended parallel eigenvalue solver, namely DD-Eigen. We extended most of underlying numerical software layers from BLAS, LAPACK, and ScaLAPACK as well as MPI. Preliminary results shows that DD-Eigen 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.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Toshiyuki Imamura - RIKEN
Susumu Yamada - Japan Atomic Energy Agency
Masahiko Machida - Japan Atomic Energy Agency
Click here to download .ics calendar file
