To achieve the exaFLOPS performance within a contained power budget, next generation supercomputers will feature hundreds of millions of components operating at low- and near-threshold voltage. As the probability that at least one of these components fails during the execution of an application approaches certainty, it seems unrealistic to expect that any run of a scientific application will not experience some performance faults. We believe that there is need of a new generation of light-weight performance and debugging tools that can be used online even during production runs of parallel applications and that can identify performance anomalies during the application execution. In this work we propose the design and implementation of such a monitoring system.
Revised: October 30, 2015 |
Published: December 31, 2014
Citation
Gioiosa R., G. Kestor, and D.J. Kerbyson. 2014.Online Monitoring System for Performance Fault Detection.Parallel Processing Letters 24, no. 4:Article No. 1442003.PNNL-SA-105705.doi:10.1142/S0129626414420031