Abstract
Obtaining fault tolerant applications and systems is one of today’s most important topics of research. Fault tolerance is becoming more and more essential in shared memory parallel programs and in multi/many core architectures due to the decreasing size of transistors and growing number of failures. Very few research works and techniques for fault tolerant OpenMP programs were studied. These few works are based on checkpoint and recovery, and on static thread level redundancy techniques. However, these approaches may illustrate scalability issues when the number of cores increases or when an unbalanced workload exists. To overcome these issues, we present in this paper a dynamic task level redundancy technique for fault tolerant OpenMP applications. Our method is based on dynamically applying a Triple Modular Redundancy for OpenMP tasks through a dedicated runtime and on applying a majority voting to guarantee correct results. Our flexible fault tolerant OpenMP approach has been evaluated for performance and fault coverage and it showed small overhead with good error detection and recovery rate.
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Tahan, O., Shawky, M. (2012). Using Dynamic Task Level Redundancy for OpenMP Fault Tolerance. In: Herkersdorf, A., Römer, K., Brinkschulte, U. (eds) Architecture of Computing Systems – ARCS 2012. ARCS 2012. Lecture Notes in Computer Science, vol 7179. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28293-5_3
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DOI: https://doi.org/10.1007/978-3-642-28293-5_3
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