Publication

Failures in Large Scale Systems: Long-term Measurement, Analysis, and Implications

Citation

S. Gupta, T. Patel, D. Tiwari, and C. Engelmann. Failures in Large Scale Systems: Long-term Measurement, Analysis, and Implications. In Proceedings of the 30th IEEE/ACM International Conference on High Performance Computing, Networking, Storage and Analysis (SC) 2017, Denver, CO, USA, November 12-17, 2017.

Abstract

Resilience is one of the key challenges in maintaining high efficiency of future extreme-scale supercomputers. Researchers and system practitioners rely on field-data studies to understand reliability characteristics and plan for future HPC systems. In this work, we compare and contrast the reliability characteristics of multiple largescale HPC production systems. Our study covers more than one billion compute node hours across five different systems over a period of 8 years. We confirm previous findings which continue to be valid, discover new findings, and discuss their implications.

Read Publication