Please use this identifier to cite or link to this item: https://doi.org/10.1109/DAC.2008.4555917
DC FieldValue
dc.titleControl theory-based DVS for interactive 3D games
dc.contributor.authorGu, Y.
dc.contributor.authorChakraborty, S.
dc.date.accessioned2013-07-04T08:30:37Z
dc.date.available2013-07-04T08:30:37Z
dc.date.issued2008
dc.identifier.citationGu, Y.,Chakraborty, S. (2008). Control theory-based DVS for interactive 3D games. Proceedings - Design Automation Conference : 740-745. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/DAC.2008.4555917" target="_blank">https://doi.org/10.1109/DAC.2008.4555917</a>
dc.identifier.isbn9781605581156
dc.identifier.issn0738100X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/41570
dc.description.abstractWe propose a control theory-based dynamic voltage scaling (DVS) algorithm for interactive 3D game applications running on batterypowered portable devices. Using this scheme, we periodically adjust the game workload prediction based on the feedback from recent prediction errors. Although such control-theoretic feedback mechanisms have been widely applied to predict the workload of video decoding applications, they heavily rely on estimating the queue lengths of video frame buffers. Given the interactive nature of games - where game frames cannot be buffered - the controltheoretic DVS schemes for video applications can no longer be applied. Our main contribution is to suitably adapt these schemes for interactive games. Compared to history-based workload prediction schemes - where the workload of a game frame is predicted by averaging the workload of the previously-rendered frames - our proposed scheme yields significant improvement on different platforms (e.g. a laptop and a PDA) both in terms of energy savings as well as output quality. Copyright 2008 ACM.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/DAC.2008.4555917
dc.sourceScopus
dc.subject3D games
dc.subjectGraphics
dc.subjectPower management
dc.subjectVoltage scaling
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1109/DAC.2008.4555917
dc.description.sourcetitleProceedings - Design Automation Conference
dc.description.page740-745
dc.description.codenPDAWD
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.