Off-Line Data Profiling Techniques to Enhance Memory Compression in Embedded Systems

Item Type: Article
MIUR type: Article > Journal article
Title: Off-Line Data Profiling Techniques to Enhance Memory Compression in Embedded Systems
Authors string: Benini L.; Macii A.; Macii E.
University authors:
Journal or Publication Title: LECTURE NOTES IN COMPUTER SCIENCE
Publisher: Springer
Volume: 2451
Page Range: pp. 314-322
Number of Pages: 9
ISSN: 0302-9743
Abstract: This paper describes how profile-driven data compression, a very effective approach to reduce memory and bus traffic in singletask embedded systems, can be extended to the case of systems offering multi-function services. Application-specific profiling is replaced by static data characterization, which allows to cover a larger spectrum of the system's input space; characterization is performed by either averaging several profiling runs over different application mixes, or by resorting to statistical techniques. Results concerning memory traffic show reductions ranging from 10% to 22%, depending on the adopted data characterization technique. This work was supported in part by HP Italiana S.p.A. under grant n. 398/2000
Date: 2002
Status: Published
Language of publication:
Uncontrolled Keywords:
Departments (original): DAUIN - Control and Computer Engineering
Departments: DAUIN - Department of Control and Computer Engineering
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    Subjects: Area 09 - Ingegneria industriale e dell'informazione > SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
    Date Deposited: 17 Jan 2007 16:24
    Last modification data (IRIS): 05 Feb 2016 15:55:26
    Update date (PORTO): 07 Feb 2016 03:37
    Id Number (DOI): 10.1007/3-540-45716-X_31
    Permalink: http://porto.polito.it/id/eprint/1497418
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