A framework for automatic parallelization, static and dynamic memory optimization in MPSoC platforms

Iosifidis, Y; Mallik, A; Mamagkakis, S; De Greef, E; Bartzas, A; Soudris, D; Catthoor, F

dc.contributor.author	Iosifidis, Y	en
dc.contributor.author	Mallik, A	en
dc.contributor.author	Mamagkakis, S	en
dc.contributor.author	De Greef, E	en
dc.contributor.author	Bartzas, A	en
dc.contributor.author	Soudris, D	en
dc.contributor.author	Catthoor, F	en
dc.date.accessioned	2014-03-01T02:46:36Z
dc.date.available	2014-03-01T02:46:36Z
dc.date.issued	2010	en
dc.identifier.issn	0738100X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32742
dc.subject	Embedded systems	en
dc.subject	Memory optimization	en
dc.subject	MPSoC	en
dc.subject.other	Automatic Parallelization	en
dc.subject.other	Data access	en
dc.subject.other	Data memory	en
dc.subject.other	Design tool	en
dc.subject.other	Embedded application	en
dc.subject.other	Hardware platform	en
dc.subject.other	Input-output	en
dc.subject.other	Key characteristics	en
dc.subject.other	Memory management	en
dc.subject.other	Memory mapping	en
dc.subject.other	Memory optimization	en
dc.subject.other	Memory storage	en
dc.subject.other	MPSoC	en
dc.subject.other	Optimization methodology	en
dc.subject.other	Parallelizations	en
dc.subject.other	Software applications	en
dc.subject.other	Static and dynamic	en
dc.subject.other	Computer aided design	en
dc.subject.other	Data transfer	en
dc.subject.other	Embedded software	en
dc.subject.other	Multiprocessing systems	en
dc.subject.other	Optimization	en
dc.subject.other	Embedded systems	en
dc.title	A framework for automatic parallelization, static and dynamic memory optimization in MPSoC platforms	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1145/1837274.1837410	en
heal.identifier.secondary	http://dx.doi.org/10.1145/1837274.1837410	en
heal.publicationDate	2010	en
heal.abstract	The key characteristic of next generation embedded applications will be the intensive data transfer and storage and the need for efficient memory management. The embedded system designer community needs optimization methodologies and techniques, which do not change the input-output functionality of the software applications or the design of the underlying hardware platform. In this paper, the key focus is the efficient data access and memory storage of both dynamically and statically allocated data and their assignment on the data memory hierarchy of an MPSoC platform. We propose a design tool framework to efficiently automate the time-consuming optimizations for parallelization and memory mapping of static and dynamic data for MPSoCs. Copyright 2010 ACM.	en
heal.journalName	Proceedings - Design Automation Conference	en
dc.identifier.doi	10.1145/1837274.1837410	en
dc.identifier.spage	549	en
dc.identifier.epage	554	en