Paper Info
Title
Power Capping in High Performance Computing Systems.
Abstract
Power consumption is a key factor in modern ICT infrastructure, especially in the expanding world of High Performance Computing, Cloud Computing and Big Data. Such consumption is bound to become an even greater issue as supercomputers are envisioned to enter the Exascale by 2020, granted that they obtain an order of magnitude energy efficiency gain. An important component in many strategies devised to decrease energy usage is \"power capping\", i.e., the possibility to constrain the system power consumption within certain power budget. In this paper we propose two novel approaches for power capped workload dispatching and we demonstrate them on a real-life high-performance machine: the Eurora supercomputer hosted at CINECA computing center in Bologna. Power capping is a feature not included in the commercial Portable Batch System PBS dispatcher currently in use on Eurora. The first method is based on a heuristic technique while the second one relies on a hybrid strategy which combines a CP and a heuristic approach. Both systems are evaluated and compared on simulated job traces.
Year
DOI
Venue
2015
10.1007/978-3-319-23219-5_37
CP
Field
DocType
Volume
Power budget,Heuristic,Supercomputer,Computer science,Efficient energy use,Constraint programming,Portable Batch System,Big data,Embedded system,Cloud computing
Conference
9255
ISSN
Citations 
PageRank 
0302-9743
9
0.51
References 
Authors
11
5
Name
Order
Citations
PageRank
Andrea Borghesi1172.06
Francesca Collina290.51
Michele Lombardi327028.86
Michela Milano4111797.67
Luca Benini5131161188.49