%0 Conference Paper %B 29th IEEE International Parallel & Distributed Processing Symposium (IPDPS) %D 2015 %T Design for a Soft Error Resilient Dynamic Task-based Runtime %A Chongxiao Cao %A George Bosilca %A Thomas Herault %A Jack Dongarra %X As the scale of modern computing systems grows, failures will happen more frequently. On the way to Exascale a generic, low-overhead, resilient extension becomes a desired aptitude of any programming paradigm. In this paper we explore three additions to a dynamic task-based runtime to build a generic framework providing soft error resilience to task-based programming paradigms. The first recovers the application by re-executing the minimum required sub-DAG, the second takes critical checkpoints of the data flowing between tasks to minimize the necessary re-execution, while the last one takes advantage of algorithmic properties to recover the data without re-execution. These mechanisms have been implemented in the PaRSEC task-based runtime framework. Experimental results validate our approach and quantify the overhead introduced by such mechanisms. %B 29th IEEE International Parallel & Distributed Processing Symposium (IPDPS) %I IEEE %C Hyderabad, India %8 2015-05 %G eng