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International Journal of High Performance Computing Applications
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Toward Exascale Resilience

Franck Cappello

INRIA, LABORATOIRE EN RECHERCHE INFORMATIQUE, FRANCE, CAPPELLO{at}ILLINOIS.EDU

Al Geist

OAK RIDGE NATIONAL LABORATORY, TN, USA

Bill Gropp

DEPARTMENT OF COMPUTER SCIENCE, UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN, USA

Laxmikant Kale

DEPARTMENT OF COMPUTER SCIENCE, UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN, USA

Bill Kramer

NERSC, LAWRENCE BERKELEY NATIONAL LABORATORY, IL, USA

Marc Snir

DEPARTMENT OF COMPUTER SCIENCE, UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN, USA

Over the past few years resilience has became a major issue for high-performance computing (HPC) systems, in particular in the perspective of large petascale systems and future exascale systems. These systems will typically gather from half a million to several millions of central processing unit (CPU) cores running up to a billion threads. From the current knowledge and observations of existing large systems, it is anticipated that exascale systems will experience various kind of faults many times per day. It is also anticipated that the current approach for resilience, which relies on automatic or application level checkpoint/ restart, will not work because the time for checkpointing and restarting will exceed the mean time to failure of a full system. This set of projections leaves the community of fault tolerance for HPC systems with a difficult challenge: finding new approaches, which are possibly radically disruptive, to run applications until their normal termination, despite the essentially unstable nature of exascale systems. Yet, the community has only five to six years to solve the problem. This white paper synthesizes the motivations, observations and research issues considered as determinant of several complimentary experts of HPC in applications, programming models, distributed systems and system management.

Key Words: exascale • challenge • resilience • fault tolerance • high-performance computing.

This version was published on November 1, 2009

International Journal of High Performance Computing Applications, Vol. 23, No. 4, 374-388 (2009)
DOI: 10.1177/1094342009347767
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