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Runtime Voltage/Frequency Scaling for Energy-Aware Streaming Applications

Gruian, Flavius LU (2012) 46th Annual Asilomar Conference on Signals, Systems, and Computers, 2012 In Proceedings of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR) p.1439-1443
Abstract
Power and energy consumption, today essential in all types of systems, can be reduced by scaling the voltage/frequency at runtime and/or powering down idle components.

Efficient management requires not only pertinent decisions, but also early access to workload information, as well as domain specific solutions. This paper focuses on runtime energy management for streaming applications running on multiprocessor platforms with dynamic voltage/frequency (speed) scaling capabilities.

Our energy management occurs at processor level, and employs a number of orthogonal techniques based on hints gathered from load history, buffer pressure and future workload estimates.

The manager operates both through speed adjustments... (More)
Power and energy consumption, today essential in all types of systems, can be reduced by scaling the voltage/frequency at runtime and/or powering down idle components.

Efficient management requires not only pertinent decisions, but also early access to workload information, as well as domain specific solutions. This paper focuses on runtime energy management for streaming applications running on multiprocessor platforms with dynamic voltage/frequency (speed) scaling capabilities.

Our energy management occurs at processor level, and employs a number of orthogonal techniques based on hints gathered from load history, buffer pressure and future workload estimates.

The manager operates both through speed adjustments and priorities. A preliminary evaluation based on a high-level simulation of an MPEG-4 SP decoder, shows that a combination of specific and generic techniques is the closest to an ideal energy lower bound. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Proceedings of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)
pages
1439 - 1443
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
46th Annual Asilomar Conference on Signals, Systems, and Computers, 2012
external identifiers
  • wos:000320768400266
  • scopus:84876253227
ISSN
1058-6393
ISBN
978-1-4673-5051-8
978-1-4673-5050-1
DOI
10.1109/ACSSC.2012.6489264
project
HiPEC
language
English
LU publication?
yes
id
fec9b26c-daf1-447d-81e1-c7a5881fd1b8 (old id 3210086)
date added to LUP
2012-11-26 14:42:45
date last changed
2017-11-14 09:52:44
@inproceedings{fec9b26c-daf1-447d-81e1-c7a5881fd1b8,
  abstract     = {Power and energy consumption, today essential in all types of systems, can be reduced by scaling the voltage/frequency at runtime and/or powering down idle components.<br/><br>
Efficient management requires not only pertinent decisions, but also early access to workload information, as well as domain specific solutions. This paper focuses on runtime energy management for streaming applications running on multiprocessor platforms with dynamic voltage/frequency (speed) scaling capabilities. <br/><br>
Our energy management occurs at processor level, and employs a number of orthogonal techniques based on hints gathered from load history, buffer pressure and future workload estimates.<br/><br>
The manager operates both through speed adjustments and priorities. A preliminary evaluation based on a high-level simulation of an MPEG-4 SP decoder, shows that a combination of specific and generic techniques is the closest to an ideal energy lower bound.},
  author       = {Gruian, Flavius},
  booktitle    = {Proceedings of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)},
  isbn         = {978-1-4673-5051-8},
  issn         = {1058-6393},
  language     = {eng},
  pages        = {1439--1443},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Runtime Voltage/Frequency Scaling for Energy-Aware Streaming Applications},
  url          = {http://dx.doi.org/10.1109/ACSSC.2012.6489264},
  year         = {2012},
}