Paper Info
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.
Year
DOI
Venue
2015
10.1109/ICPPW.2015.38
ICPP Workshops
Keywords
Field
DocType
HPC,co-scheduling,energy efficiency,job scheduling
Memory bandwidth,Supercomputer,Efficient energy use,Computer science,Queue,Parallel computing,Bandwidth (signal processing),Job scheduler,Throughput,Energy consumption,Distributed computing
Conference
ISSN
Citations 
PageRank 
1530-2016
5
0.55
References 
Authors
8
3
Name
Order
Citations
PageRank
Jens Breitbart1175.22
Josef Weidendorfer211517.98
Carsten Trinitis315129.80