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dc.contributor.authorAsaduzzaman, Abu
dc.contributor.authorHassan, Wajid
dc.contributor.authorKoivisto, Darryl
dc.date.accessioned2011-12-01T17:04:05Z
dc.date.available2011-12-01T17:04:05Z
dc.date.issued2011-05-23
dc.identifier.citationAsaduzzaman, A.; Hassan, W.; Koivisto, D.; "Multicore distributed processing architecture with Miss Table in radar systems for real-time severe weather analysis,"Radar Conference (RADAR), 2011 IEEE , vol., no., pp.267-270, 23-27 May 2011 doi: 10.1109/RADAR.2011.5960541en_US
dc.identifier.isbn9781424489015
dc.identifier.issn1097-5659
dc.identifier.otherWOS ID:000295457000054
dc.identifier.urihttp://hdl.handle.net/10057/3998
dc.identifier.urihttp://dx.doi.org/10.1109/RADAR.2011.5960541
dc.descriptionClick on the DOI link to access the article (may not be free)en_US
dc.description.abstractAlthough the first use of radar was for military purposes, radar technology has been introduced into many other fields including weather analysis. Today, radar is the primary tool for weather forecasting. To cover local, national, and global weather conditions timely and accurately, more powerful radar system is in need. Recent studies indicate that newly introduced multicore distributed architecture can provide high processing speed required by modern radar systems. In spite of the fact that multicore architecture improves performance, it poses some serious challenges including execution time unpredictability which is not acceptable for real-time weather analysis. In this work, we model and simulate a popular Intel-like multicore architecture with Miss Table (MT) and investigate the effectiveness of the multicore architectures for real-time severe weather analysis. Miss Table holds information about block addresses and helps improve execution time predictability and performance/power ratio. Experimental results show that execution time predictability can be further improved by applying techniques like cache locking with Miss Table. Therefore, we find multicore architecture with Miss Table very promising for future radar systems for real-time severe weather analysis. In addition, this kind of powerful radar systems can have significant role in assessing global climate change and developing future defense applications.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.ispartofseriesRadar Conference (RADAR), IEEE;pp.267-270
dc.subjectDelayen_US
dc.subjectMeteorological radaren_US
dc.subjectMeteorologyen_US
dc.subjectMulticore processingen_US
dc.subjectReal time systemsen_US
dc.titleMulticore distributed processing architecture with Miss Table in radar systems for real-time severe weather analysisen_US
dc.typeConference paperen_US
dc.description.versionPeer reviewed article
dc.rights.holder©IEEE, 2011


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