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SCHEDULE: NOV 15-20, 2015

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Exploiting Asynchrony from Exact Forward Recovery for DUE in Iterative Solvers

SESSION: Linear Algebra

EVENT TYPE: Papers, Best Paper Finalists

EVENT TAG(S): Algorithms, Scientific Computing, Solvers

TIME: 3:30PM - 4:00PM

SESSION CHAIR(S): Gabriel Tanase

AUTHOR(S):Luc Jaulmes, Marc Casas, Miquel Moretó, Eduard Ayguadé, Jesús Labarta, Mateo Valero



This paper presents a method to protect iterative solvers from Detected and Uncorrected Errors (DUE) relying on error detection techniques already available in commodity hardware. Detection operates at the memory page level, which enables the use of simple algorithmic redundancies to correct errors. Such redundancies would be inapplicable under coarse grain error detection, but they become very powerful when the hardware is able to precisely detect errors.

Relations straightforwardly extracted from the solver allow to recover lost data exactly. This method is free of the overheads of backwards recoveries like checkpointing, and does not compromise mathematical convergence properties of the solver as restarting would do. We apply this recovery to three widely used Krylov subspace methods: CG, GMRES and BiCGStab.

We implement and evaluate our resilience techniques on CG, showing very low overheads compared to state-of-the-art solutions. Overlapping recoveries with normal work of the algorithm decreases overheads further.

Chair/Author Details:

Gabriel Tanase (Chair) - IBM Corporation|

Luc Jaulmes - Barcelona Supercomputing Center

Marc Casas - Barcelona Supercomputing Center

Miquel Moretó - Barcelona Supercomputing Center

Eduard Ayguadé - Barcelona Supercomputing Center

Jesús Labarta - Barcelona Supercomputing Center

Mateo Valero - Barcelona Supercomputing Center

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Paper provided by the ACM Digital Library

Paper also available from IEEE Computer Society