Paper Info
Title
Automated exploration of pareto-optimal configurations in parameterized dynamic memory allocation for embedded systems
Abstract
New applications in embedded systems are becoming increasingly dynamic. In addition to increased dynamism, they have massive data storage needs. Therefore, they rely heavily on dynamic, run-time memory allocation. The design and configuration of a dynamic memory allocation subsystem requires a big design effort, without always achieving the desired results. In this paper, we propose a fully automated exploration of dynamic memory allocation configurations. These configurations are fine tuned to the specific needs of applications with the use of a number of parameters. We assess the effectiveness of the proposed approach in two representative real-life case studies of the multimedia and wireless network domains and show up to 76% decrease in memory accesses and 66% decrease in memory footprint within the Pareto-optimal trade-off space.
Year
DOI
Venue
2006
10.1109/DATE.2006.243771
DATE
Keywords
DocType
Volume
Pareto optimisation,embedded systems,integrated memory circuits,memory architecture,storage allocation,Pareto-optimal configurations,Pareto-optimal trade-off space,data storage,dynamic memory allocation,embedded systems,memory footprint,multimedia domains,run-time memory allocation,wireless network domains
Conference
1
ISSN
ISBN
Citations 
1530-1591
3-9810801-0-6
9
PageRank 
References 
Authors
0.92
3
6
Name
Order
Citations
PageRank
Stylianos Mamagkakis114213.16
David Atienza22219149.60
Christophe Poucet3524.34
Francky Catthoor43932423.30
Dimitrios Soudris536958.95
José M. Mendías627319.60