A divide and conquer based distributed run-time mapping methodology for many-core platforms

Anagnostopoulos, I; Bartzas, A; Kathareios, G; Soudris, D

dc.contributor.author	Anagnostopoulos, I	en
dc.contributor.author	Bartzas, A	en
dc.contributor.author	Kathareios, G	en
dc.contributor.author	Soudris, D	en
dc.date.accessioned	2014-03-01T02:53:32Z
dc.date.available	2014-03-01T02:53:32Z
dc.date.issued	2012	en
dc.identifier.issn	15301591	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36392
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-84862101376&partnerID=40&md5=f58d69b6434b2ba84ece4f55d256630b	en
dc.subject.other	Application mapping	en
dc.subject.other	Autonomic management	en
dc.subject.other	Divide and conquer	en
dc.subject.other	Heterogeneous multicore	en
dc.subject.other	Heterogeneous platforms	en
dc.subject.other	Many-core	en
dc.subject.other	Multi-processor platforms	en
dc.subject.other	Network on chip	en
dc.subject.other	On chip communication	en
dc.subject.other	Real applications	en
dc.subject.other	Real-time application	en
dc.subject.other	Run-time mapping	en
dc.subject.other	Runtimes	en
dc.subject.other	Exhibitions	en
dc.subject.other	Microprocessor chips	en
dc.subject.other	VLSI circuits	en
dc.subject.other	Embedded systems	en
dc.title	A divide and conquer based distributed run-time mapping methodology for many-core platforms	en
heal.type	conferenceItem	en
heal.identifier.secondary	6176442	en
heal.publicationDate	2012	en
heal.abstract	Real-time applications are raising the challenge of unpredictability. This is an extremely difficult problem in the context of modern, dynamic, multiprocessor platforms which, while providing potentially high performance, make the task of timing prediction extremely difficult. In this paper, we present a flexible distributed run-time application mapping framework for both homogeneous and heterogeneous multi-core platforms that adapts to application's needs and application's execution restrictions. The novel idea of this article is the application of autonomic management paradigms in a decentralized manner inspired by Divide-and-Conquer (D&C) method. We have tested our approach in a Leon-based Network-on-Chip platform using both synthetic and real application workload. Experimental results showed that our mapping framework produces on average 21% and 10% better on-chip communication cost for homogeneous and heterogeneous platform respectively. © 2012 EDAA.	en
heal.journalName	Proceedings -Design, Automation and Test in Europe, DATE	en
dc.identifier.spage	111	en
dc.identifier.epage	116	en