Sökning: id:"swepub:oai:DiVA.org:liu-29358" >
Power-Composition P...
Power-Composition Profile Driven Co-Synthesis with Power Management Selection for Dynamic and Leakage Energy Reduction
-
- Wu, Dong (författare)
- School of Electronics and Computer Science University of Southampton
-
- Al-Hashimi, Bashir M. (författare)
- School of Electronics and Computer Science University of Southampton
-
- Schmitz, Marcus T. (författare)
- School of Electronics and Computer Science University of Southampton
-
visa fler...
-
- Eles, Petru Ion, 1954- (författare)
- Linköpings universitet,Tekniska högskolan,ESLAB - Laboratoriet för inbyggda system
-
visa färre...
-
(creator_code:org_t)
- Porto, Portugal : IEEE Computer Society Press, 2005
- 2005
- Engelska.
-
Ingår i: 8th Euromicro Conference on Digital System Design DSD2005,2005. - Porto, Portugal : IEEE Computer Society Press. - 0769524338 ; , s. 34-
- Relaterad länk:
-
https://urn.kb.se/re...
-
visa fler...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- Recent research has shown that the combination of dynamic voltage scaling (DVS) and adaptive body biasing (ABB) yields high energy reductions in embedded systems. Nevertheless, the implementation of DVS and ABB requires a significant system cost, making it less attractive for many small systems. In this paper we demonstrate that it is possible to reduce this system cost and to achieve comparable energy saving to that obtained using combined DVS and ABB scheme through a co-synthesis methodology which is aware of the tasks' power-composition profile (the ratio of the dynamic power to the leakage power). In particular, the presented methodology performs a power management selection at the architectural level, i.e., it decides upon which processing elements to be equipped with which power management scheme (DVS, ABB, or combined DVS and ABB) - with the aim to achieve high energy savings at a reduced implementation cost. The proposed technique maps, schedules, and voltage scales applications specified as task graphs with timing constraints. Detailed experiments including a real-life benchmark are conducted to demonstrate the effectiveness of the proposed methodology.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- low power
- leakage
- co-synthesis
- power management
- dynamic energy
- Computer science
- Datavetenskap
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
Hitta via bibliotek
Till lärosätets databas