Nonuniform banking for reducing memory energy consumption

Ozean Ozturk, Mahmut Kandemir

Research output: Chapter in Book/Report/Conference proceedingConference contribution

26 Scopus citations


Main memories can consume a large percentage of overall energy in many data-intensive embedded applications. The past research proposed and evaluated memory banking as a possible approach for reducing memory energy consumption. One of the common characteristics/assumptions made by most of the past work on banking is that all the banks are of the same size. While this makes the formulation of the problem easy, it also restricts the potential solution space. Motivated by this observation, this paper investigates the possibility of employing nonuniform bank sizes for reducing memory energy consumption. Specifically, it proposes an integer linear programming (ILP) based approach that returns the optimal nonuniform bank sizes and accompanying data-to-bankmapping. It also studies how data migration can further improve over nonuniform banking. We implemented our approach using an ILP tool and made extensive experiments. The results show that the proposed strategy brings important energy benefits over the uniform banking scheme, and data migration across banks tends to increase these savings.

Original languageEnglish (US)
Title of host publicationProceedings - Design, Automation and Test in Europe, DATE '05
Number of pages6
StatePublished - 2005
EventDesign, Automation and Test in Europe, DATE '05 - Munich, Germany
Duration: Mar 7 2005Mar 11 2005

Publication series

NameProceedings -Design, Automation and Test in Europe, DATE '05
ISSN (Print)1530-1591


OtherDesign, Automation and Test in Europe, DATE '05

All Science Journal Classification (ASJC) codes

  • Engineering(all)


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