SCHEDULE: NOV 16-22, 2013

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Rethinking Algorithm-Based Fault Tolerance with a Cooperative Software-Hardware Approach

SESSION: Tools for Scalable Analysis

EVENT TYPE: Papers

TIME: 4:00PM - 4:30PM

SESSION CHAIR: Dorian C. Arnold

AUTHOR(S):Dong Li, Zizhong Chen, Panruo Wu, Jeffrey S. Vetter

ROOM:405/406/407

ABSTRACT:
Algorithm-based fault tolerance (ABFT) is a highly efficient resilience solution for many widely-used scientific computing kernels. However, in the context of the resilience ecosystem, ABFT is completely opaque to any underlying hardware resilience mechanisms. As a result, some data structures are over-protected by ABFT and hardware, which leads to unnecessary costs in terms of performance and energy. In this paper, we rethink ABFT using an integrated view including both software and hardware with the goal of improving performance and energy efficiency of ABFT-enabled applications. In particular, we study how to coordinate ABFT and error-correcting code (ECC) for main memory, and investigate the impact of this coordination on performance, energy, and resilience for ABFT-enabled applications. Scaling tests and analysis indicate that our approach saves up to 25% for system energy (and up to 40% for dynamic memory energy) with up to 18% performance improvement over traditional approaches of ABFT with ECC.

Chair/Author Details:

Dorian C. Arnold (Chair) - University of New Mexico

Dong Li - Oak Ridge National Laboratory

Zizhong Chen - University of California, Riverside

Panruo Wu - University of California, Riverside

Jeffrey S. Vetter - Oak Ridge National Laboratory

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The full paper can be found in the ACM Digital Library