Show simple item record

dc.contributor.authorTrancoso, Pedroen
dc.contributor.editorBeigl M.en
dc.contributor.editorLukowicz P.en
dc.creatorTrancoso, Pedroen
dc.description.abstractMicroprocessor design is a considerably complex task. First, microprocessors include many resources that may be configured in different ways. This leads to a time consuming multi-objective optimization problem. Second, currently the designs must take into account not only performance but also power consumption thus making the optimization goal more complex. Third, different types of applications have different demands but producing several different microprocessors would not be cost effective. This paper proposes an efficient algorithm to explore the design space: design space navigation. With this algorithm it is possible to obtain optimal configurations by starting from a baseline and "navigating" on the design space. Different configurations tailored for different applications, but derived from the same baseline, are called neighboring configurations. Experimental results show that navigation finds designs that achieve better power-performance efficiency for a fraction of the time required by other design space exploration algorithms. Also, the algorithm is used to obtain four neighboring configurations for four types of applications: multimedia, integer and floating-point scientific, and database workloads. The results showed that the navigation configuration achieves a power-performance improvement of 30% to 118% depending on the workload. Using different workloads for navigation and execution may result in a loss of efficiency of as much as 94%. © Springer-Verlag Berlin Heidelberg 2005.en
dc.sourceLecture Notes in Computer Scienceen
dc.source18th International Conference on Architecture of Computing Systems, ARCS 2005en
dc.subjectProblem solvingen
dc.subjectResource allocationen
dc.subjectSystems analysisen
dc.subjectMultimedia systemsen
dc.subjectMicroprocessor chipsen
dc.subjectDatabase systemsen
dc.subjectMulti-objective optimizationen
dc.subjectDesign spaceen
dc.subjectMicroprocessor designen
dc.subjectPower-performance efficienten
dc.titleDesign space navigation for neighboring power-performance efficient microprocessor configurationsen
dc.description.endingpage206 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied SciencesΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.description.notes<p>Sponsors: Siemens AG, Munich, Germanyen
dc.description.notesConference code: 65566</p>en
dc.contributor.orcidTrancoso, Pedro [0000-0002-2776-9253]

Files in this item


There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record