@inproceedings{5f6fda35b5ea4345a7a501148049e61c,
title = "Case Study on Co-scheduling for HPC Applications",
abstract = "Most applications running on supercomputers achieve only a fraction of the peak performance of the system. In this paper we analyze the performance and energy efficiency of co-scheduling one memory bandwidth bound and one compute bound application on the same node. We present auto pin+, a tool designed to monitor and optimize co-scheduling of applications. Our analysis shows that co-scheduling can improve both energy efficiency and overall throughput of a supercomputer. At best, runtime can be decreased by 28% and the energy consumption by 12%, respectively, compared to best case dedicated execution. The overall efficiency however strongly depends on the ratio of jobs available in the queue. We furthermore present a simple adaptive strategy depending on the available jobs in the queue.",
keywords = "Co-scheduling, Energy efficiency, HPC, Job scheduling",
author = "Jens Breitbart and Josef Weidendorfer and Carsten Trinitis",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 44th Annual Conference of the International Conference on Parallel Processing Workshops, ICPPW 2015 ; Conference date: 01-09-2015 Through 04-09-2015",
year = "2015",
month = dec,
day = "8",
doi = "10.1109/ICPPW.2015.38",
language = "English",
series = "Proceedings of the International Conference on Parallel Processing Workshops",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "277--285",
booktitle = "Proceedings - 2015 International Conference on Parallel Processing Workshops, The 44th Annual Conference, ICPPW 2015",
}
