SOCNOC reading reportWord文档格式.docx
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SOCNOC reading reportWord文档格式.docx
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Circuit-switching:
theconnectionhastobeestablishedfirst,thenthetransmissionwillgooninnon-interruptiblemanner,untiltheconnectionwillbedissolved.Thisissimilartotheoldtelephonelineoperation-dialing(forningtheroutetothedestination),talking,andhangingup.
Packet-switching:
Thedataisencapsulatedintopacketswithsomeheaderinformation,passedtothenetworkfordelivery,andthesendercanforgetaboutit.Thisislikethemailsystem-addressthepacket,giveittothepostman.
3.Nodes,switchesandresources
Nodes:
canbealsocalledswitches,althoughanodecanbesomethingmorecomplicatedthanasimpleswitch.
Switches:
referstoacrossbarswitchthatcanconnectanyinputtoanyoutput.
Resources:
computationandstorageblocksthatcommunicateoverthenetwork.(e.g.,RISC,DSP)
4.Topology
Topologyorinterconnectarchitecturedetermineshowtheresourcesofthenetworkareinterconnected.Mostoftheapproachesusemeshortorustopologyasastartingpoint
.
Figure2.NoCtopologies.Mesh(a),torus(b),bi-directionalring(c),and
OctagonMP-SoC(d).
5.Routingschemes
Adaptiveroutingalgorithmscandynamicallychangetheroute,e.g.,toavoidcongestionproblems.
6.Networkperformance
Theperformancecanbeexpressedwiththroughputandlatencyofthesimulatedormeasuredtraffic.Latencyistheaveragetimeelapsingwhensendingapacketoverthenetwork,i.e.,timebetweenamessageinjectionandthereceptionoftheendofthepacket.Throughputisthemaximumloadthatthenetworkcancarry.
B.NOC-basedSystemDesignOptimization
1)EvolutionaryIPAssignmentforEfficientNoC-basedSystemDesignusingMulti-objectiveOptimization
Introduction
Astheintegrationrateofsemiconductorsincreases,morecomplexcoresforsystem-on-chip(SoC)arelaunched.AsimpleSoCisformedbyhomogeneousorheterogeneousindependentcomponentswhileacomplexSoCisformedbyinterconnectedheterogeneouscomponents.Theinterconnectionandcommunicationofthesecomponentsformanetwork-on-chip(NoC).EachcomponentofaNoCisdesignedasanintellectualproperty(IP)block.AnIPblockcanbeageneralorspecialpurposesuchasaprocessor,memoryandDSP.
Normally,aNoCisdesignedtorunaspecificapplication.Thisapplication,usually,consistsofalimitednumberoftasksthatareimplementedbyasetofIPblocks.AnIPblockcanimplementmorethanasingletaskoftheapplication.Forinstance,aprocessorIPblockcanexecutemanytasksasageneralprocessordoesbutamultiplierIPblockforfloatingpointnumberscanonlymultiplyfloatingpointnumbers.
ThenumberofIPblocksdesigners,aswellasthenumberofavailableIPblocks,isgrowingupfast.InordertoyieldanefficientNoC-baseddesignforagivenapplication,itisnecessarytochoosetheadequateminimalsetofIPblocks.BesidesIPblockscarefulassignment,itisalsonecessarytomaptheseblocksontotheNoCavailableinfra-structure,whichconsistsofasetofcorescommunicatingthroughswitches.Ofcourse,abadmappingcandegradetheNoCperformance.
Usually,theapplicationisviewedasagraphoftaskscalledtaskgraph(TG).EfficientNoC-baseddesignskeyproblem:
taskassignmentandIPblockmapping.Normally,deterministictechniquesarenotviabletosolvesuchproblemssoweusedmulti-objectiveevolutionaryalgorithms(MOEAs)withspecificoperatorsandobjectivefunctions.
HowtorealizeIPassignmentusingMulti-objectiveOptimization
WeusedatafromTheEmbeddedSystemsSynthesisbenchmarksSuite(E3S)asourIPrepository.TheE3SisacollectionofTGs,representingrealapplicationsbasedonembeddedprocessors.
WeusetwoMOEAs:
NSGA-IIandmicroGA.BothofthesealgorithmsweremodifiedaccordingtosomeprescribedNoCdesignconstraints.
PreviousStudyinIPassignmentpreview:
Ø
HuandMarculescuproposedabranchandboundalgorithmwhichautomaticallymapsIPs/coresintoameshbasedNoCarchitecturethatminimizesthetotalamountofconsumedpowerbyminimizingthetotalcommunicationamongtheusedcores.
LeiandKumarproposedatwostepgeneticalgorithmformappingtheTGintoameshbasedNoCarchitecturethatminimizestheexecutiontime.
MuraliandDeMicheliaddressedtheproblemunderthebandwidthconstraintwiththeaimofminimizingcommunicationdelaybyexploitingthepossibilityofsplittingtrafficamongvariouspaths.
Zhouetsuggestedamulti-objectiveexplorationapproach,treatingthemappingproblemasatwoconflictingobjectiveoptimizationproblemthatattemptstominimizetheaveragenumberofhopsandachieveathermalbalance.
TASKGRAPHANDIPREPOSITORYMODELS
Definition1.ATaskGraph(TG)G=G(T,D)isadirectedgraphwhereeachnoderepresentsacomputationalmoduleintheapplicationreferredtoastaskti∈T.Eachdirectedarcdi,j∈D,betweentaskstiandtj,characterizeseither
dataorcontroldependencies.
ti:
ID&
typeofPEarcdi:
data/controldependencies
Definition2.AnApplicationCharacterizationGraph(ACG)G=G(C,A)isadirectedgraph,whereeachvertexci∈CrepresentsaselectedIP/coreandeachdirectedarcai,jcharacterizesthecommunicationprocessfromcorecitocorecj.
Ci:
IP/coreinformationarcai:
communicationprocess
THEIPASSIGNMENTPROBLEM
ThemainobjectiveistoselectasetofIPs,fromtheIPrepository,thatminimizestheNoCconsumptionofpower,areaoccupiedandexecutiontime.
Twomainproblems:
selectingtherightsetofIPsthatoptimizetheexecutionofagivenapplicationandfindingthebestphysicalmappingoftheseIPsintotheNoCstructure.
TwoAlgorithmstoresolvetheproblem
1.NSGA-II
2.MicroGA
Thesamepoint:
Bothadoptthedominationconceptwitharankingschemaforclassification.TherankingprocessseparatessolutionsinParetofronts(帕累托最优边界,解的任何一个目标函数的值在不使其他目标函数值恶化的条件下已不可能进一步改进)whereeachfrontcorrespondstoagivenrank.
Differentpoint:
NSGA-II(Non-DominatedSortingGeneticAlgorithm)---featuresafastandelitistrankingprocessthatminimizescomputationalcomplexityandprovidesagoodspreadofsolutions.
MicroGA(Micro-geneticalgorithm)---workswithaverysmallpopulation(3to5individuals),whichmakesitveryfast.
OncetheIPassignmentiscomplete,wehaveasetofindividuals(orasingleone)withrankoneandthosearethebestindividualsfortheavailableinformationintheIPrepository.
Example:
Figure4:
Trade-offsrepresentationofthe25optimalIPassignments
Conclusion:
weproposedadecisionsupportsystembasedonMOEAstohelpNoCdesignerstoselectasetofIPsfromarepositoryofIPs.TheuseoftwodifferentMOEAsconsolidatestheobtainedresults.
2)ABidirectionalNoCArchitecturewithDynamicself-ReconfigurableChannel
Figure2-1TypicalNoCarchitectureinmeshtopology
2.1WhyneedBidirectionalNoCArchitecture
Inacity-blocktiledNoCarchitecture,neighboringroutersareconnectedviaapairofcommunicationchannels.Onechannelwillsupportout-goingtrafficandtheotherchannelwillsupportin-comingtraffic.Undervarioustrafficconditions,itisoftenobservedthattheout-goingchannelmaybefloodedwithoutgoingtrafficwhiletheincomingchannelremainsidle.Inmanymetropolitanareas,duringrushhours,thetraveldirectionsofsomehighwaylanesarereversedtemporarilytorelievecongestionsoftheopposingtrafficdirection.
WeexploresimilarideaasamechanismtorelieveintermittenttrafficcongestionintheNoCcommunicationbackbone,andhenceenhanceoverallperformance.Specifically,weproposeakeyinnovationtoreplacethepairofunidirectionalchannelsbetweenroutersbyapairofbidirectionalchannelsthatcanbedynamicallyself-reconfigured.
2.2Self-ReconfigurableRoutingScheme
2.2-a.ProblemFormulation
InaconventionalNoCarchitecture,eachpairofneighboringroutersusestwounidirectionalchannelsinoppositedirectiontopropagatedataonthenetworkasshowninFigure2.(a).Toenablethemostbandwidthutilization,datachannelsbetweeneachpairofroutersshouldbeabletotransmitdatainanydirectionateachruncycle.Thatis,fourkindsofchanneldirection
combinationsshouldbeallowedfordatatransmissionasshowninFigure2(b).
2.2-b.Example
WecandynamicallychangethedirectionofeachchannelbetweeneachpairofrouterslikethearchitectureillustratedinFigure3(c),thebandwidthutilizationwillbeimprovedandthetotalexecutiontimecanbereducedto55cycles.Figure4showsthedetailedexecutionschedules,wheretherequiredcommunicationtimebetweennodesinBiNoCisextensivelyreduced.
2.2-c.Inter-RouterTransmissionSchemeIntroduction
Figure6showsthedetailofthecontrolblocksandsignalsforonechannelbetweenthetwoadjacentrouters.Routingmoduledetectsthepacketheaderandcomputestheoutputdirection.Thechannelcontrolmoduleonthetargetchanneldecodesthisrequestandisresponsibletocommunicatewiththeotherchann
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