Design for a Soft Error Resilient Dynamic Task-based Runtime (original) (raw)
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| Title | Design for a Soft Error Resilient Dynamic Task-based Runtime |
|---|---|
| Publication Type | Conference Paper |
| Year of Publication | 2015 |
| Authors | Cao, C., G. Bosilca, T. Herault, and J. Dongarra |
| Conference Name | 29th IEEE International Parallel & Distributed Processing Symposium (IPDPS) |
| Date Published | 2015-05 |
| Publisher | IEEE |
| Conference Location | Hyderabad, India |
| Abstract | 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. |
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