SC12 Home > SC12 Schedule > SC12 Presentation - Preliminary Report for a High Precision Distributed Memory Parallel Eigenvalue Solver

SCHEDULE: NOV 10-16, 2012

When viewing the Technical Program schedule, on the far righthand side is a column labeled "PLANNER." Use this planner to build your own schedule. Once you select an event and want to add it to your personal schedule, just click on the calendar icon of your choice (outlook calendar, ical calendar or google calendar) and that event will be stored there. As you select events in this manner, you will have your own schedule to guide you through the week.

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

Add to iCal  Click here to download .ics calendar file

Add to Outlook  Click here to download .vcs calendar file

Add to Google Calendarss  Click here to add event to your Google Calendar

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

Add to iCal  Click here to download .ics calendar file

Add to Outlook  Click here to download .vcs calendar file

Add to Google Calendarss  Click here to add event to your Google Calendar