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1、TESLAComputational Fluid Dynamics ModuleComputational Fluid DynamicsGPU Perf compared against Multi-core x86 CPU socket,features and may be a kernel to kernel perf comparisonApplicationGPU FeaturesGPU PerfRelease StatusNotes Altair AcuSolveLinear eqn solver2x TotalToday,release 1.8aFE unstructured N
2、S,multi-GPUANSYS FluentRadiation heat transfer model10 x RHT Model,2x AMG solver(beta)Today,release 14.5Multi-GPU RHT model,Single-GPU SolverAutodesk MoldflowLinear eqn solver1.5x Today,release 2013FE unstructured NS,single-GPUFluiDyna Culises-OpenFOAMLinear eqn solvers3x SolverToday,release 1.2Unst
3、ructured NS,single-GPUFluiDyna LBultraLBM,particle CFD20 x TotalToday,release 2.0Structured LBM,multi-GPUVratis SpeedIT-OpenFOAM SolverLinear eqn solvers6x SolverToday,release 1.2Unstructured NS,multi-GPUVratis ARAELLinear eqn solvers3x SolverToday,release 1.0Single-GPUPrometech ParticleworksMPS,par
4、ticle CFD4x-9x TotalToday,release 3.0Particle based,multi-GPUSandia NL S3DChemistry kernel8x SP,5x DP kernelDemonstrationStructured DNS,multi-GPUSD+(SU-Jameson)Explicit solver 15x TotalIn developmentFE unstructured NS,multi-GPUFEFLO(GMU Lohner)Explicit solver 2-10 x TotalIn developmentFE unstructure
5、d NS,multi-GPUTurbostreamExplicit solver 19x TotalToday,release 2.0Structured grid NS,multi-GPUGPU Value to EngineeringComputational Fluid DynamicsComputational Fluid DynamicsSimulation of fluid flow for product developmentWhatWhatWhyWhySpeed of simulations is critical to this workHigher resolution
6、of physics,more complex/real world geometries,better turbulence treatmentHowHowMore problems become practical with GPU accelerationFluiDyna LBultra20 x acceleration with 4 GPUs vs.2 x 6 core CPUs CPU Intel Xeon X5670 2.93 GHz;GPU Tesla M2070ANSYS CFD preliminary results of radiation heat transfer vi
7、ew-factor computations on GPUs vs.CPUsRHT on GPUs will release in 14.0 as betaRadiation HT Applications:NOTE:Growing CPU time of view-factor computations inhibit proper inclusion of radiation HT effectsNOTE:GPU time remains low even as view-factor computations grow very largeANSYS CFD 14.0 Offers Fi
8、rst GPU CapabilityUnderhood coolingCabin comfort HVACFurnace simulationsSolar loads on buildingsCombustor in turbineElectronics passive coolingOther ANSYS CFD Evaluations:Models(e.g.disperse phase)Implicit equation solversOpenFOAM on GPUs ISVs FluiDyna and VratisSpeedIT:3 GPUs 6x vs.4 Core i7 CPU Pr
9、ometech and Particle-based CFD for Multi-GPUsMPS-basedmethoddevelopedattheUniversityofTokyoProf.KoshizukaResultsshownforParticleworks2.5releasedin2011Performanceisrelativeto4coresofInteli7CPUContactPrometechforlicensedetailshttp:/www.prometech.co.jp Turbostream CFD for Gas Turbine EnginesTurbostream
10、 Simulation Speed-up 19x19xwww.turbostream-|www.many-core.group.cam.ac.uk/ukgpucc2/talks/Brandvik.pdf|Sources:www.hpc.cam.ac.uk/services/darwin.html University of Cambridge DARWIN ClusterCUDA Center of Excellence Since 2008GPU sub-cluster:DellT5500servers,32dual-socketCPUsTeslaS1070GPUs,4GPUspersock
11、etfortotal128GPUsSample Turbostream GPU SimulationsTypical Routine SimulationLarge-scale Simulation19x Speeduphttp:/www.turbostream- Turbostream GPU SimulationsTurbostream:CFD for TurbomachineryTokyo Institute of Technology AOKI LaboratoryCFD Research on#5 of Top 500 TSUBAME 2.0Simulations that scal
12、e to 4000 Fermi GPUsPresentation at Supercomputing 2010 Conference:“Large-scale CFD Applications on TSUBAME 2”Dr.Takayuki Aoki,Global Scientific Information and Computing Center(GSIC)of Tokyo Institute of Technology(Tokyo Tech)http:/ Highlights on CFD Applications From the Top 500FEFLO:Porting of an
13、 Edge-Based CFD Solver to GPUs AIAA-2010-0523 Andrew Corrigan,Ph.D.,Naval Research Lab;Rainald Lohner,Ph.D.,GMUFAST3D:Using GPU on HPC Applications to Satisfy Low Power Computational Requirement AIAA-2010-0524 Gopal Patnaik,Ph.D.,US Naval Research LabOVERFLOW:Rotor Wake Modeling with a Coupled Euler
14、ian and Vortex Particle Method AIAA-2010-0312 Chris Stone,Ph.D.,Intelligent LightSOLAR:Unstructured CFD Solver on GPUs Jamil Appa,Ph.D.,BAE Systems Advanced Technology CentreelsA:Recent Results with elsA on Many-Cores Michel Gazaix and Steve Champagneux,ONERA/Airbus FranceTurbostream:Turbostream:A C
15、FD Solver for Many-Core Processors Tobias Brandvik,Ph.D.,Whittle Lab,University of CambridgeOVERFLOW:Acceleration of a CFD Code with a GPU Dennis Jespersen,NASA Ames Research Center48th AIAA Aerospace Sciences Meeting|Jan 2010|Orlando,FL,USACFD on Future Architectures|Oct 2009|DLR Braunschweig,DEPar
16、allel CFD 2009|May 2009|NASA Ames,Moffett Field,CA,USAPublished CFD Developments on Tesla GPUTotal 110 technical papers:32 or 30%included GPU-developments,up from 12 papers in 2010(Taipei,TW)and 4 papers in 2009(NASA,US)Included an invited full-day workshop on CUDA and GPUs for CFD Applications atte
17、nded by more than 100 delegatesGPUs in talks from 6 of 7 plenary speakers:GPU-specific CFD:Aoki Tokyo Inst Tech,Lohner GMU,Barber BU GPU evaluation:Chalot Dassault Aviation,Gonzlez Next Limit,Jgerskpper DLRGPUs Highlights from ParCFD 201123rd ParCFD 2011|16 20 May 2011|Barcelona,ESGPUApplicationJame
18、son-developedCFDsoftwareSD+forhighordermethodaerodynamicsimulationsGPU BenefitUse of 16 x Tesla M2070:15 hrs vs.202 hrs for 16 x Xeon X5670Fast turnaround of complex LES simulations that would otherwise be impractical for CPU-only use StanfordUniversityAerospaceComputingLabProf.AntonyJamesonHigh-Ord
19、er Aerodynamics Research on GPUs15 hours 15 hours on 16 x M2070son 16 x M2070s202 hours(one week)202 hours(one week)on 16 Xeon x5670 CPUson 16 Xeon x5670 CPUs Transitional flow over SD70053 airfoil,21M DOF,Ma=.2,Re=60K,AoA=4,4th order,400K RK itersGPUApplicationSJTU-developedCFDsoftwareNUS3Dforaerod
20、ynamicsimulationsofwingshapesGPU BenefitUse of Tesla C2070:20 x 37x vs.single core Intel core i7 CPUFaster simulations for more wing design candidates vs.wind tunnel testingExpanding to multi-GPU and full aircraft COMACandSJTUCommercialAircraftCorporationofChinaCOMAC Wing CandidateONERA M6 WingCFD S
21、imulationCommercial Aircraft Wing Design on GPUsGPUApplicationBAE-developedCFDsoftwareVeloxiforaerodynamicsimulationofaircraftGPU BenefitUse of 2 x Tesla C2050:15x vs.QC Intel i7 CPUFaster simulations enabled design exploration of full aerodynamic envelopeGPUSpeed-upvs.Multi-coreBAESystemsTechnology
22、andEngineeringServicesDefense Aerodynamic Applications on GPUsGPUApplicationNRL-developedCFDsoftwareJENREforsimulationofjetengineacousticsGPU BenefitUse of Tesla M2070:3x vs.Hex core Intel(Westmere)CPUMore detailed mesh simulations possible for longer durations of jet engine transient conditionsU.S.
23、DoDNavalResearchLabLabforComputationalPhysicsandFluidDynamicsFighter Jet Engine Noise Reduction on GPUsGPUApplicationEMPhotonics-developedCFDsoftwareforunsteadyaerodynamicsimulationsGPU BenefitUse of Tesla C2070:54x for CFD kernel vs.8 core Intel i7 CPUsFast turnaround of simulations enables more flight conditions and aircraft approach directionsNAVAIRandEMPhotonicsU.S.DoDNavalAirWeaponsCenter,PaxRiverMDAircraft Carrier Landing Effects using GPUs54xfaster with 1 GPUfaster with 1 GPU