![](/images/graphics-bg.png)
Power-Efficient Computing: Experiences from the COSA Project
Joint Authors
Cesini, Daniele
Corni, Elena
Falabella, Antonio
Ferraro, Andrea
Morganti, Lucia
Calore, Enrico
Schifano, Sebastiano Fabio
Michelotto, Michele
Alfieri, Roberto
De Pietri, Roberto
Boccali, Tommaso
Biagioni, Andrea
Lo Cicero, Francesca
Lonardo, Alessandro
Martinelli, Michele
Paolucci, Pier Stanislao
Pastorelli, Elena
Vicini, Piero
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-09-25
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Energy consumption is today one of the most relevant issues in operating HPC systems for scientific applications.
The use of unconventional computing systems is therefore of great interest for several scientific communities looking for a better tradeoff between time-to-solution and energy-to-solution.
In this context, the performance assessment of processors with a high ratio of performance per watt is necessary to understand how to realize energy-efficient computing systems for scientific applications, using this class of processors.
Computing On SOC Architecture (COSA) is a three-year project (2015–2017) funded by the Scientific Commission V of the Italian Institute for Nuclear Physics (INFN), which aims to investigate the performance and the total cost of ownership offered by computing systems based on commodity low-power Systems on Chip (SoCs) and high energy-efficient systems based on GP-GPUs.
In this work, we present the results of the project analyzing the performance of several scientific applications on several GPU- and SoC-based systems.
We also describe the methodology we have used to measure energy performance and the tools we have implemented to monitor the power drained by applications while running.
American Psychological Association (APA)
Cesini, Daniele& Corni, Elena& Falabella, Antonio& Ferraro, Andrea& Morganti, Lucia& Calore, Enrico…[et al.]. 2017. Power-Efficient Computing: Experiences from the COSA Project. Scientific Programming،Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1203459
Modern Language Association (MLA)
Cesini, Daniele…[et al.]. Power-Efficient Computing: Experiences from the COSA Project. Scientific Programming No. 2017 (2017), pp.1-14.
https://search.emarefa.net/detail/BIM-1203459
American Medical Association (AMA)
Cesini, Daniele& Corni, Elena& Falabella, Antonio& Ferraro, Andrea& Morganti, Lucia& Calore, Enrico…[et al.]. Power-Efficient Computing: Experiences from the COSA Project. Scientific Programming. 2017. Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1203459
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1203459