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Automated exploration of pareto-optimal configurations in parameterized dynamic memory allocation for embedded systems

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dc.contributor.author Mamagkakis, S en
dc.contributor.author Atienza, D en
dc.contributor.author Poucet, C en
dc.contributor.author Catthoor, F en
dc.contributor.author Soudris, D en
dc.contributor.author Mendias, J en
dc.date.accessioned 2014-03-01T02:43:57Z
dc.date.available 2014-03-01T02:43:57Z
dc.date.issued 2006 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/31573
dc.subject Case Study en
dc.subject Data Storage en
dc.subject Dynamic Memory Allocation en
dc.subject Embedded System en
dc.subject pareto optimality en
dc.title Automated exploration of pareto-optimal configurations in parameterized dynamic memory allocation for embedded systems en
heal.type conferenceItem en
heal.identifier.primary 10.1145/1131727 en
heal.identifier.secondary http://dx.doi.org/10.1145/1131727 en
heal.publicationDate 2006 en
heal.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 en
heal.journalName Design, Automation, and Test in Europe en
dc.identifier.doi 10.1145/1131727 en


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