Run-time dynamic data type transformations

Papadopoulos, L; Bartzas, A; Soudris, D

dc.contributor.author	Papadopoulos, L	en
dc.contributor.author	Bartzas, A	en
dc.contributor.author	Soudris, D	en
dc.date.accessioned	2014-03-01T02:12:09Z
dc.date.available	2014-03-01T02:12:09Z
dc.date.issued	2012	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30018
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-84864228138&partnerID=40&md5=6f8ea437293c42af0c4fac57537c400e	en
dc.subject	Dynamic Data Structures	en
dc.subject	embedded systems	en
dc.subject	memory optimizations	en
dc.subject.other	Complex applications	en
dc.subject.other	Design time	en
dc.subject.other	Different domains	en
dc.subject.other	Dynamic data structure	en
dc.subject.other	Dynamic data types	en
dc.subject.other	Dynamic memory	en
dc.subject.other	Embedded device	en
dc.subject.other	Memory optimization	en
dc.subject.other	Memory usage	en
dc.subject.other	Runtimes	en
dc.subject.other	Data structures	en
dc.subject.other	Embedded systems	en
dc.title	Run-time dynamic data type transformations	en
heal.type	journalArticle	en
heal.identifier.secondary	6222215	en
heal.publicationDate	2012	en
heal.abstract	In the last years, complex applications from various domains are implemented in embedded devices. These applications make extended use of the dynamic memory to store dynamically allocated data structures. The implementation of these data structures affects the performance and the memory usage of the embedded system. A methodology for selecting the appropriate data structures at design time is the Dynamic Data Type Refinement (DDTR) methodology. In this paper we present an extension to this approach, by presenting a methodology for adapting the dynamic data structure implementations to the requirements of the embedded system at runtime. By implementing the proposed methodology to a set of various applications from different domains, we achieve a dynamic memory size reduction up to 32%. © 2012 Gesellschaft fuer Informatk.	en
heal.journalName	ARCS Workshops, ARCS 2012	en