Fair share on high performance computing systems : what does fair really mean?
- Woodside, CA
We report on a performance evaluation of a Fair Share system at the ASCI Blue Mountain supercomputer cluster. We study the impacts of share allocation under Fair Share on wait times and expansion factor. We also measure the Service Ratio, a typical figure of merit for Fair Share systems, with respect to a number of job parameters. We conclude that Fair Share does little to alter important performance metrics such as expansion factor. This leads to the question of what Fair Share means on cluster machines. The essential difference between Fair Share on a uni-processor and a cluster is that the workload on a cluster is not fungible in space or time. We find that cluster machines must be highly utilized and support checkpointing in order for Fair Share to function more closely to the spirit in which it was originally developed.
- Research Organization:
- Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 917463
- Report Number(s):
- SAND2003-1026C; TRN: US200816%%392
- Resource Relation:
- Conference: Proposed for presentation at the IEEE/ACU International Symposium on Cluster Computer 6 the Grad held May 12-15, 2003 in Tokyo, Japan.
- Country of Publication:
- United States
- Language:
- English
Similar Records
Simulating performance sensitivity of supercomputer job parameters.
A quantitative model of application slow-down in multi-resource shared systems