SC is the International Conference for
High Performance Computing, Networking,
Storage and Analysis



SCHEDULE: NOV 12-18, 2011

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.

You can also create your personal schedule on the SC11 app (Boopsie) on your smartphone. Simply select a session you want to attend and "add" it to your plan. Continue in this manner until you have created your own personal schedule. All your events will appear under "My Event Planner" on your smartphone.

Evaluating the Viability of Process Replication Reliability for Exascale Systems

SESSION: Reliability

EVENT TYPE: Paper

TIME: 1:30PM - 2:00PM

AUTHOR(S):Kurt, B. Ferreira, Rolf Riesen, Patrick Bridges, Dorian Arnold, Jon Stearley, James H. Laros, Ron A. Oldfield, Kevin Pedretti, Ron Brightwell

ROOM:TCC 304

ABSTRACT:
As high-end computing machines continue to grow in size, issues such as fault tolerance and reliability limit application scalability. Current techniques to ensure progress across faults, like checkpoint-restart, are increasingly problematic at these scales due to excessive overheads predicted to more than double an applications time to solution. Replicated computing techniques, particularly state machine replication, long used in distributed and mission critical systems, has been suggested as an alternative to checkpoint-restart. In this paper, we evaluate the viability of using state machine replication as the primary fault tolerance mechanism for upcoming exascale systems. We use a combination of modeling, empirical analysis, and simulation to study the costs and benefits of this approach in comparison to checkpoint/restart on a wide range of system parameters. These results, which cover different failure distributions, hardware mean time to failures, and I/O bandwidths, show that state machine replication is a potentially useful technique for meeting the fault tolerance demands of HPC applications on future exascale platforms.

Chair/Author Details:

Kurt, B. Ferreira - Sandia National Laboratories

Rolf Riesen - IBM Ireland

Patrick Bridges - University of New Mexico

Dorian Arnold - University of New Mexico

Jon Stearley - Sandia National Laboratories

James H. Laros - Sandia National Laboratories

Ron A. Oldfield - Sandia National Laboratories

Kevin Pedretti - Sandia National Laboratories

Ron Brightwell - Sandia National Laboratories

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

The full paper can be found in the ACM Digital Library

   Sponsors    ACM    IEEE