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NVIDIA Tegra Processors Blaze the Way for ARM in Supercomputing

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    November23,2011

    NVIDIATegraProcessorsBlazetheWayforARMinSupercomputingMichaelFeldman

    AshasbecomeapparenttonearlyeveryoneintheHPCcommunity,lifebeyondpetascalesupercomputingwillbepowerlimited.Manyeffortsaroundtheworldarenowunderwaytoaddressthisproblem,bothbycommercialinterestsandresearchers.OnesucheffortthatbringsbothintoplayistheMontBlancresearchprojectattheBarcelonaSupercomputingCenter(BSC),whichislookingtoexploitARMprocessors,GPUs,andotherofftheshelftechnologiestoproduceradicallyenergyefficientsupercomputers.

    Inthiscase,radicallymeansusing15to30timeslessenergythanwouldbethecasewithcurrentHPCtechnologies.Theideaistobeabletobuildpetascale,andeventuallyexascalesupercomputersthatwoulddrawnomorethantwicethepowerofthetopsupercomputerstoday.(Theworldchamp10petaflopKcomputerchewsup12MWrunningLinpack.)Specifically,thegoalisdevelopanarchitecturethatcanscaleto50petaflopsonjust7MWofpowerinthe2014timeframe,and200petaflopswith10MWby2017.

    TheMontBlancprojectwasofficiallykickedoffonOctober14,andthanksto14millionEurosinfunding,isalreadyinfullswing.Lastweek,NVIDIAannounced(http://www.hpcwire.com/hpcwire/20111114/barcelona_supercomputing_center_to_deploy_prototype_armbased_cpu_gpu_supercomputer.html)thatBSChadbuiltanddeployedaprototypemachineusingtheGPUmakersARMbasedTegraprocessorsthathave,upuntilnow,beenusedonlyinmobiledevices.

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  • ThepowersippingARMisincreasinglyturningupinconversationsaroundenergyefficientHPC.AtSC11inSeattlelastweek,therewereacoupleofsessionsalongtheselines,includingaBoFonEnergyEfficientHighPerformanceComputingthatfeaturedtheadvantagesoftheARMarchitectureforthislineofworkaswellasaPGIexhibitorforumonsomeofthepracticalaspectsofusingARMprocessorsforhighperformancecomputing.TherewasalsotherecentnewsbyARMLtdofitsnew64bitARMdesign(http://www.hpcwire.com/hpcwire/20111027/arm_discloses_technical_details_of_64bit_architecture.html)(ARMv8),whichisintendedtomovethearchitectureintotheserverarena.

    NVIDIAisalreadysoldonARM,andnotjustfortheTegraline.InJanuary,thecompanyrevealedProjectDenver,(http://www.hpcwire.com/hpcwire/20110106/nvidia_arms_itself_for_heterogeneous_computing_future.html)itsplantodesignprocessorsthatintegrateNVIDIAdesignedARMCPUsandCUDAGPUs,withtheideaofintroducingthemacrosstheirentireportfolio,includingthehighendTeslaline.WethinkthatthemomentumisclearlypointinginthedirectionofmoreandmoreARMinfiltrationintotheHPCspace,saidSteveScott,CTOofNVIDIAsTeslaUnit.

    TheMontBlancprojectiscertainlyanendorsementofthisapproach.TheinitialBSCprototypesystemisa256nodecluster,witheachnodepairingadualcoreTegra2withtwoindependentARMCortexA9processors.Thewholemachinedeliversameager512gigaflops(peak)andanefficiencyofabout300megaflops/watt,whichisonparwithacurrentgenerationx86basedcluster.Thenumbersherearesomewhatmeaninglessthough.Theinitialsystemisaproofofconceptplatformdesignedforresearcherstobegindevelopmentofthesoftwarestackandportsomeinitialapplications.

    ThesecondBSCprototype,scheduledtobebuiltinthefirsthalfof2012,willemployNVIDIAsnextgenerationquadcoreTegra3chipshookeduptodiscreteNVIDIAGPUs,inthiscase,theGeForce520MX(aGPUforlaptops).Thissystemisalso256nodes,butwilldeliverontheorderof38peakteraflops.Energyefficiencyisestimatedtobeamuchmoreimpressive7.5gigaflops/watt,ormorethanthreeandahalftimesbetterthantheindustryleadingBlueGene/Qsupercomputer.Inconjunctionwiththissecondprototype,NVIDIAwillbereleasinganewCUDAtoolkitthatwillincludeARMsupport.

    ThefirsttwoprototypesareBSCinventions.Theprojectwillsubsequentlydevelopitsownmoreadvancedprototype.AccordingtoScott,thatclusterwillbe1,000nodes,althoughtheinternalmakeupisstillnotdecided.Giventhetimeframethough(20132014),thesystemislikelytoincludeNVIDIAprocessorsusingProjectDenvertechnology,withthechipmakershomegrownARMimplementationandmuchmoreperformantGPUs.

    Bytheendofthethreeyearproject,theresearchersintendtohaveacompletesoftwarestack,includinganoperatingsystem,runtimelibraries,scientificlibraries,clustermanagementmiddleware,oneormorefilesystems,andperformancetools.Theyalsohopetohave11fullscalescientificapplicationsrunningonthearchitecture,whichencompassfluiddynamics,proteinfolding,weathermodeling,quantumchromodynamics,andseismicsimulations,amongothers.

    WhetherMontBlancleadstoanycommercialHPCproductsremainstobeseen.NVIDIA,foritspart,iscertainlyhappytoseethislevelinterestandadoptionofitsARMGPUapproach.Weseethisasseedingtheenvironment,wherepeoplecandosoftwaredevelopmentandexperimentation,saidScott.Wethinkthatitwillgrowintosomethinglargerdowntheroad.

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