NDLI: Methodology for Refinement and Optimisation of Dynamic Memory Management for Embedded Systems in Multimedia Applications

Content Provider	Springer Nature Link
Author	Leeman, Marc Atienza, David Deconinck, Geert Florio, Vincenzo Mendías, José M. Ykman Couvreur, Chantal Catthoor, Francky Lauwereins, Rudy
Copyright Year	2005
Abstract	In multimedia applications, run-time memory management support has to allow real-time memory de/allocation, retrieving and processing of data. Thus, its implementation must be designed to combine high speed, low power, large data storage capacity and a high memory bandwidth. In this paper, we assess the performance of our new system-level exploration methodology to optimise the memory management of typical multimedia applications in an extensively used 3D reconstruction image system [1, 2]. This methodology is based on an analysis of the number of memory accesses, normalised memory footprint$^{1}$ and energy estimations for the system studied. This results in an improvement of normalised memory footprint up to 44.2% and the estimated energy dissipation up to 22.6% over conventional static memory implementations in an optimised version of the driver application. Finally, our final version is able to scale perfectly the memory consumed in the system for a wide range of input parameters whereas the statically optimised version is unable to do this.
Starting Page	383
Ending Page	396
Page Count	14
File Format	PDF
ISSN	09225773
Journal	Journal of Signal Processing Systems
Volume Number	40
Issue Number	3
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	2005-07-01
Publisher Place	Boston
Access Restriction	Subscribed
Subject Keyword	multimedia memory management memory bandwidth low power memory footprint dynamic memory management memory hierarchy dynamic data types system-level exploration Signal, Image and Speech Processing Circuits and Systems Electrical Engineering Image Processing and Computer Vision Pattern Recognition Computer Imaging, Vision, Pattern Recognition and Graphics
Content Type	Text
Resource Type	Article
Subject	Signal Processing Information Systems Electrical and Electronic Engineering

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