HEAL DSpace

Mapping Optimisation for Scalable Multi-core ARchiTecture: The MOSART Approach

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dc.contributor.author Candaele, B en
dc.contributor.author Aguirre, S en
dc.contributor.author Sarlotte, M en
dc.contributor.author Anagnostopoulos, I en
dc.contributor.author Xydis, S en
dc.contributor.author Bartzas, A en
dc.contributor.author Bekiaris, D en
dc.contributor.author Soudris, D en
dc.contributor.author Lu, Z en
dc.contributor.author Chen, X en
dc.contributor.author Chabloz, J en
dc.contributor.author Hemani, A en
dc.contributor.author Jantsch, A en
dc.contributor.author Vanmeerbeeck, G en
dc.contributor.author Kreku, J en
dc.contributor.author Tiensyrjä, K en
dc.contributor.author Ieromnimon, F en
dc.contributor.author Kritharidis, D en
dc.contributor.author Wiefrink, A en
dc.contributor.author Vanthournout, B en
dc.contributor.author Martin, P en
dc.date.accessioned 2014-03-01T02:52:31Z
dc.date.available 2014-03-01T02:52:31Z
dc.date.issued 2010 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/35899
dc.subject configural processing en
dc.subject Data Management en
dc.subject Data Structure en
dc.subject Development Tool en
dc.subject Distributed Memory en
dc.subject Energy Performance en
dc.subject Middleware en
dc.subject Parallel Systems en
dc.subject Power Consumption en
dc.subject Shared Memory en
dc.subject Network On Chip en
dc.title Mapping Optimisation for Scalable Multi-core ARchiTecture: The MOSART Approach en
heal.type conferenceItem en
heal.identifier.primary 10.1109/ISVLSI.2010.71 en
heal.identifier.secondary http://dx.doi.org/10.1109/ISVLSI.2010.71 en
heal.publicationDate 2010 en
heal.abstract The project will address two main challenges of prevailing architectures: 1) The global interconnect and memory bottleneck due to a single, globally shared memory with high access times and power consumption, 2) The difficulties in programming heterogeneous, multi-core platforms, in particular in dynamically managing data structures in distributed memory. MOSART aims to overcome these through a multi-core architecture with distributed en
heal.journalName Annual Symposium on VLSI en
dc.identifier.doi 10.1109/ISVLSI.2010.71 en


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