Acte de clausura del IV Congrés Internacional UNIVEST 2013, a càrrec de  Rafael García, director de l' ICE de la UdG i de Martí Casadesús, vicerector de qualitat docen

Andrei, Alexandru

Eles, Petru Ion

Jovanovic, Olivera

Ogniewski, Jens

Peng, Zebo

Schmitz, Marcus

Supply voltage scaling and adaptive body-biasing are important techniques that help to reduce the energy dissipation of embedded systems. This is achieved by dynamically adjusting the voltage and performance settings according to the application needs. In order to take full advantage of slack that arises from variations in the execution time, it is important to recalculate the voltage (performance) settings during runtime, i.e., online. However, optimal voltage scaling algorithms are computationally expensive, and thus, if used online, significantly hamper the possible energy savings. To overcome the online complexity, we propose a quasi-static voltage scaling scheme, with a constant online time complexity O(1). This allows to increase the exploitable slack as well as to avoid the energy dissipated due to online recalculation of the voltage settings.©2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. Alexandru Andrei, Petru Ion Eles, Olivera Jovanovic, Marcus Schmitz, Jens Ogniewski and Zebo Peng, Quasi-Static Voltage Scaling for Energy Minimization with Time Constraints, 2010, IEEE Transactions on Very Large Scale Integration (vlsi) Systems, (19), 1, 10-23.http://dx.doi.org/10.1109/TVLSI.2009.203019

Digitala Vetenskapliga Arkivet - Academic Archive On-line

Quasi-Static Voltage Scaling for Energy Minimization with Time Constraints

Publikationer från Linköpings universitet

Academic Archive On-line (Linköping University, Sweden)

García Campos, Rafael

Casadesús Fa, Martí

DUGiMedia – Universitat de Girona