sponsored byIEEEACMThe International Conference for High Performance 
Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 16-21, 2014

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Exploring Automatic, Online Failure Recovery for Scientific Applications at Extreme Scales

SESSION: Optimized Checkpointing

EVENT TYPE: Papers

TIME: 2:00PM - 2:30PM

SESSION CHAIR: Patrick Bridges

AUTHOR(S):Marc Gamell, Daniel S. Katz, Hemanth Kolla, Jacqueline Chen, Scott Klasky, Manish Parashar

ROOM:393-94-95

ABSTRACT:

Application resilience is a key challenge that must be addressed in order to realize the exascale vision. Process/node failures, an important class of failures, are typically handled today by terminating the job and restarting it from the last stored checkpoint. This approach is not expected to scale to exascale. In this paper we present Fenix, a framework for enabling recovery from process/node/blade/cabinet failures for MPI-based parallel applications in an online (i.e., without disrupting the job) and transparent manner. Fenix provides mechanisms for transparently capturing failures, re-spawning new processes, fixing failed communicators, restoring application state, and returning execution control back to the application. To enable automatic data recovery, Fenix relies on application-driven, diskless, implicitly-coordinated checkpointing. Using the S3D combustion simulation running on the Titan Cray-XK7 production system at ORNL, we experimentally demonstrate Fenix's ability to tolerate high failure rates (e.g., more than one per minute) with low overhead while sustaining performance.

Chair/Author Details:

Patrick Bridges (Chair) - University of New Mexico

Marc Gamell - Rutgers University

Daniel S. Katz - University of Chicago and Argonne National Laboratory

Hemanth Kolla - Sandia National Laboratories

Jacqueline Chen - Sandia National Laboratories

Scott Klasky - Oak Ridge National Laboratory

Manish Parashar - Rutgers University

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Paper also available from IEEE Computer Society