we shortly illustrate these paradigms their characteristics and the successful stories about their.docx
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we shortly illustrate these paradigms their characteristics and the successful stories about their.docx
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weshortlyillustratetheseparadigmstheircharacteristicsandthesuccessfulstoriesabouttheir
TheidentifyingandadaptingofFERPmallformandrolesformoretrustbymarketingofdistributedFERPcomponents OriginalResearchArticle
ProcediaComputerScience,Volume3,2011,Pages11-22
EvanAsfoura,RobertNeumann,GamalKassem,ReinerDumke
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EuropeanJournalofRadiology,InPress,CorrectedProof,Availableonline20January2011
AntonioPinto,LucaBrunese,FabioPinto,CiroAcampora,LuigiaRomano
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Towardsvisualstrategy OriginalResearchArticle
TechnologicalForecastingandSocialChange,Volume76,Issue1,January2009,Pages39-49
RobertPhaal,GerritMuller
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Impactoflanduseonthebiodiversityintegrityofthemoistsub-biomeofthegrasslandbiome,SouthAfrica OriginalResearchArticle
JournalofEnvironmentalManagement,Volume90,Issue1,January2009,Pages384-395
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487
CA-MPSoC:
Anautomateddesignflowforpredictablemulti-processorarchitecturesformultipleapplications OriginalResearchArticle
JournalofSystemsArchitecture,Volume56,Issue7,July2010,Pages265-277
A.Shabbir,A.Kumar,S.Stuijk,B.Mesman,H.Corporaal
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AbstractAbstract|Figures/TablesFigures/Tables|ReferencesReferences
Abstract
Futureembeddedsystemsdemandmulti-processordesignstomeetreal-timedeadlines.Thelargenumberofapplicationsinthesesystemsgeneratesanexponentialnumberofuse-cases.Thekeydesignautomationchallengesaredesigningsystemsfortheseuse-casesandfastexplorationofsoftwareandhardwareimplementationalternativeswithaccurateperformanceevaluationoftheseuse-cases.Thesechallengescannotbeovercomebycurrentdesignmethodologieswhicharesemi-automated,timeconsuminganderrorprone.
Inthispaper,wepresentafullyautomateddesignflowtogeneratecommunicationassist(CA)basedmulti-processorsystems(CA-MPSoC).Aworst-caseperformancemodelofourCAisproposedsothattheperformanceoftheCA-basedplatformcanbeanalyzedbeforeitsimplementation.Thedesignflowprovidesperformanceestimatesandtimingguaranteesforbothhardreal-timeandsoftreal-timeapplications,providedthetasktoprocessormappingsaregivenbytheuser.Theflowautomaticallygeneratesasuper-sethardwarethatcanbeusedinalluse-casesoftheapplications.Thesoftwareforeachoftheseuse-casesisalsogeneratedincludingtheconfigurationofcommunicationarchitectureandinterfacingwithapplicationtasks.
CA-MPSoChasbeenimplementedonXilinxFPGAsforevaluation.Further,itismadeavailableon-lineforthebenefitoftheresearchcommunityandinthispaper,itisusedforperformanceanalysisoftworeallifeapplications,SobelandJPEGencoderexecutingconcurrently.TheCA-basedplatformgeneratedbyourdesignflowrecordsamaximumerrorof3.4%betweenanalyzedandmeasuredperiods.Ourtoolcanalsomergeuse-casestogenerateasuper-sethardwarewhichacceleratestheevaluationoftheseuse-cases.Inacasestudywithsixapplications,theuse-casemergingresultsinaspeedupof18whencomparedtothecasewhereeachuse-caseisevaluatedindividually.
ArticleOutline
1.Introduction
2.Relatedwork
2.1.Communicationassist
2.2.Designflowsforplatformgeneration
2.3.Performanceanalysis
3.Architecturetemplate
3.1.Processingelement
3.2.Memories
3.3.Communicationassist
4.SDFgraphs
5.SDFmodelofCA
6.Performanceanalysis
6.1.Average-caseanalysis
6.2.Worst-caseanalysis
7.Designflow
7.1.H/Wgeneration
7.2.S/Wgeneration
8.Toolimplementation
9.Experimentsandresults
9.1.Reallifeapplications
9.2.Supportformultipleuse-casesanduse-casemerging
10.Conclusion
References
Vitae
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488
Architecturalsupportforthreadcommunicationsinmulti-coreprocessors OriginalResearchArticle
ParallelComputing,Volume37,Issue1,January2011,Pages26-41
SevinVaroglu,StephenJenks
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AbstractAbstract|Figures/TablesFigures/Tables|ReferencesReferences
Abstract
Intheongoingquestforgreatercomputationalpower,efficientlyexploitingparallelismisofparamountimportance.Architecturaltrendshaveshiftedfromimprovingsingle-threadedapplicationperformance,oftenachievedthroughinstructionlevelparallelism(ILP),toimprovingmultithreadedapplicationperformancebysupportingthreadlevelparallelism(TLP).Thus,multi-coreprocessorsincorporatingtwoormorecoresonasinglediehavebecomeubiquitous.Toachieveconcurrentexecutiononmulti-coreprocessors,applicationsmustbeexplicitlyrestructuredtoexploitparallelism,eitherbyprogrammersorcompilers.However,multithreadedparallelprogrammingmayintroduceoverheadduetocommunicationsamongthreads.Thoughsomeresourcesaresharedamongprocessorcores,currentmulti-coreprocessorsprovidenoexplicitcommunicationssupportformultithreadedapplicationsthattakesadvantageoftheproximitybetweencores.Currently,inter-corecommunicationsdependoncachecoherence,resultingindemand-basedcachelinetransferswiththeirinherentlatencyandoverhead.Inthispaper,weexploretwoapproachestoimprovecommunicationssupportformultithreadedapplications.Prepushingisasoftwarecontrolleddataforwardingtechniquethatsendsdatatodestination’scachebeforeitisneeded,eliminatingcachemissesinthedestination’scacheaswellasreducingthecoherencetrafficonthebus.SoftwareControlledEviction(SCE)improvesthreadcommunicationsbyplacingshareddatainsharedcachessothatitcanbefoundinamuchcloserlocationthanremotecachesormainmemory.Simulationresultsshowsignificantperformanceimprovementwiththeadditionofthesearchitectureoptimizationstomulti-coreprocessors.
ArticleOutline
1.Introduction
2.Threadcommunicationsapproaches
2.1.Prepushing
2.1.1.Motivation
2.1.2.Implementation
2.2.Softwarecontrolledeviction
2.2.1.Motivation
2.2.2.Implementation
2.3.Raceconditions
2.4.Hardwarerealization
3.Performanceestimation
3.1.Benchmarks
3.1.1.ARC4streamcipher
3.1.2.Finite-differencetime-domainmethod
3.1.3.Pingpongbenchmark
3.1.4.Redblackequationsolver
3.2.Prepushing
3.3.Softwarecontrolledeviction
4.Performanceevaluation
5.Relatedwork
6.Conclusion
References
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Researchhighlights
►Multi-coreprocessorsdonotprovideexplicitcommunicationssupportformultithreadedapplications,resultingindatacoherencetrafficandcachemisses.►Prepushingreducesdatacoherencetrafficandeliminatesmissesindestinationcaches.►SoftwareControlledEvictionimprovesthreadcommunicationsbyplacingshareddatainsharedcaches.►Simulationresultsshowsignificantperformanceimprovement.►Bothapproachesprovidethesameexecutiontimeimprovement,butperformdifferentlyintermsofcachemissesanddatarequests.
489
Object-orienteddevelopmentandapplicationofanonlinearstructuralanalysisframework OriginalResearchArticle
AdvancesinEngineeringSoftware,Volume40,Issue1,January2009,Pages66-82
Bo-ZhouLin,Ming-ChiehChuang,Keh-ChyuanTsai
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Amulti-objectiveapproachtoschedulingjointparticipationwithvariablespaceandtimepreferencesandopportunities OriginalResearchArticle
JournalofTransportGeography,InPress,CorrectedProof,Availableonline18July2010
ZhixiangFang,WeiTu,QingquanLi,QiupingLi
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AbstractAbstract|Figures/TablesFigures/Tables|ReferencesReferences
Abstract
Activityschedulingsupportsactivity-basedanalysisintraveldemandmanagementandpromotesapotentiallypopulartravelerassistanceservice.Amulti-objectiveapproachisproposedtoschedulejointparticipationofmultipleindividuals,inwhichthecandidatespace–timeopportunitiesforjointparticipationareidentifiedbyaconceptoftime-varyingnetwork-basedprisms,andoptimalopportunitiesforjointparticipationaredeterminedbythenon-dominatedsortinggeneticalgorithm-II(NSGA-II)withfourobjectives(i)minimizingcostforcongestioncharges,(ii)maximizingparticipationdesirabilityoftime-of-day,(iii)minimizingtotaltraveldistanceand(iv)timeinthetripsofmultipleindividuals.Ascenarioofjointparticipationamongfourpeopleisdesignedandimplementedtodemonstratethefeasibilityofthisapproach.Theresultssuggestthatthisapproachhastheabilitytoscheduleactivitieswithinrealsituations.
ArticleOutline
1.Introduction
2.Relatedworks
2.1.Network-basedprism
2.2.Identifyingspace–timeopportunities
2.3.Opportunitiesforactivityscheduling
3.Time-varyingnetwork-basedprism
4.Multi-objectiveapproachforschedulingjointparticipation
4.1.Severalobjectivesinchoosinganopportunity
4.2.Multi-object
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