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

Author： Leeman Marc Atienza David Deconinck Geert Florio Vincenzo Mendías José Ykman-Couvreur Chantal Catthoor Francky Lauwereins Rudy

Publisher： Springer Publishing Company

ISSN： 0922-5773

Source： Journal of VLSI Signal Processing, Vol.40, Iss.3, 2005-07, pp. : 383-396

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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 footprint¹ 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.