Abstract
With the exascale era within reach, the high performance computing community is preparing to embrace the challenges associated with extreme-scale systems. Resilience raises as one of the major hurdles in making those systems usable for the advance of science and industry. Message logging is a well-known strategy to provide fault tolerance, one that is promising due to its ability to avoid global restart. However, message-logging protocols may suffer considerable overhead if implemented for the general case. This paper introduces a new message-logging protocol that leverages the benefits of a flexible parallel programming paradigm. We evaluate the protocol using a particular type of applications and demonstrate it can keep a low performance penalization when scaling up to 128,000 cores.
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