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SCHEDULE: NOV 15-20, 2015

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Local Recovery and Failure Masking for Stencil-Based Applications at Extreme Scales

SESSION: Resilience


EVENT TAG(S): Power, Performance, System Software, Resiliency

TIME: 1:30PM - 2:00PM

SESSION CHAIR(S): Frank Mueller

AUTHOR(S):Marc Gamell, Keita Teranishi, Michael A. Heroux, Jackson Mayo, Hemanth Kolla, Jacqueline Chen, Manish Parashar



Application resilience is a key challenge that has to be addressed to realize the exascale vision. Online recovery can dramatically reduce the overhead of failures as compared to the more traditional approach where the job is terminated and restarted from the last checkpoint. In this paper we explore how online local recovery can be used for certain application classes to further reduce resilience overheads. Specifically we develop programming support and scalable runtime mechanisms to enable online and transparent local recovery for stencil-based parallel applications. We also show how multiple independent failures can be masked to effectively reduce the impact on the total time to solution. We integrate these mechanisms with the S3D combustion simulation, and experimentally demonstrate (using the Titan Cray-XK7 system at ORNL) the ability to tolerate high failure rates (i.e., node failures every 5 seconds) with low overhead while sustaining performance, at scales up to 262144 cores.

Chair/Author Details:

Frank Mueller (Chair) - North Carolina State University|

Marc Gamell - Rutgers University

Keita Teranishi - Sandia National Laboratories

Michael A. Heroux - Sandia National Laboratories

Jackson Mayo - Sandia National Laboratories

Hemanth Kolla - Sandia National Laboratories

Jacqueline Chen - Sandia National Laboratories

Manish Parashar - Rutgers University

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Paper provided by the ACM Digital Library

Paper also available from IEEE Computer Society