Dynamic data type refinement methodology for systematic performance-energy design exploration of network applications

Bartzas, A; Mamagkakis, S; Pouiklis, G; Atienza, D; Catthoor, F; Soudris, D; Thanailakis, A

dc.contributor.author	Bartzas, A	en
dc.contributor.author	Mamagkakis, S	en
dc.contributor.author	Pouiklis, G	en
dc.contributor.author	Atienza, D	en
dc.contributor.author	Catthoor, F	en
dc.contributor.author	Soudris, D	en
dc.contributor.author	Thanailakis, A	en
dc.date.accessioned	2014-03-01T02:44:01Z
dc.date.available	2014-03-01T02:44:01Z
dc.date.issued	2006	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31619
dc.subject	Case Study	en
dc.subject	Dynamic Data	en
dc.subject	Embedded System	en
dc.subject	Energy Consumption	en
dc.subject	Energy Saving	en
dc.subject	High Energy	en
dc.subject	pareto optimality	en
dc.subject	Perforation	en
dc.title	Dynamic data type refinement methodology for systematic performance-energy design exploration of network applications	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1145/1131692	en
heal.identifier.secondary	http://dx.doi.org/10.1145/1131692	en
heal.publicationDate	2006	en
heal.abstract	Network applications are becoming increasingly popular in the embedded systems domain requiring high performance, which leads to high energy consumption. In networks is observed that due to their inherent dynamic nature the dynamic memory subsystem is a main contributor to the overall energy consumption and performance. This paper presents a new systematic methodology, generating performance-energy trade-offs by implementing dynamic data	en
heal.journalName	Design, Automation, and Test in Europe	en
dc.identifier.doi	10.1145/1131692	en