A framework for self-reconfigurable DCTs based on multiobjective optimization of the power-performance-accuracy space

Daniel Llamocca, Marios Pattichis, Cesar Carranza

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

We present a framework for the implementation of self-reconfigurable 2D Discrete Cosine Transforms (DCTs). Dynamic Partial Reconfiguration (DPR) and Dynamic Frequency Control lead to a multi-objective optimization scheme that generates Pareto-optimal realizations from the Power-Performance-Accuracy (PPA) space. The PPA space is created by evaluating the 2D DCTs realizations in terms of their power consumption, performance, and accuracy. Dynamic PPA management can then carried out by selecting Pareto-optimal realizations that meet time-varying PPA constraints.

Original languageEnglish
Title of host publicationReCoSoC 2012 - 7th International Workshop on Reconfigurable and Communication-Centric Systems-on-Chip, Proceedings
DOIs
StatePublished - 2012
Externally publishedYes
Event7th International Workshop on Reconfigurable and Communication-Centric Systems-on-Chip, ReCoSoC 2012 - York, United Kingdom
Duration: 9 Jul 201211 Jul 2012

Publication series

NameReCoSoC 2012 - 7th International Workshop on Reconfigurable and Communication-Centric Systems-on-Chip, Proceedings

Conference

Conference7th International Workshop on Reconfigurable and Communication-Centric Systems-on-Chip, ReCoSoC 2012
Country/TerritoryUnited Kingdom
CityYork
Period9/07/1211/07/12

Keywords

  • DCT
  • Dynamic Partial Reconfiguration
  • Field-programmable gate array (FPGA)
  • Multi-objective Optimization

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