TESLA

Tesla 101

2

CUDA GPU Accelerates ComputingThe Right Processor for the Right Task

CUDA GPUHundreds of parallel cores

CPUSeveral sequential cores

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How CPUs and GPUs Work

void serial_function(… ) { ...}

void parallel_function(float ... ) { ...}

void main( ) { ... parallel_function<<...>>(..); serial_function(..); ...}

CUDA Application Code

Heavy parallel workload on the GPU Other serial routines on the CPU

2007 2008 2009 2010 2011 20120

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400

600

800

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1200 Peak Double Precision FP GFlops/sec

Nehalem3 GHz

Westmere3 GHz

TeslaM2070

TeslaM2090

M1060

Kepler

8-coreSandy Bridge

3 GHz

GPU Performance Far Outstrips CPUs

Double Precision: NVIDIA GPU Double Precision: x86 CPU

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Tianhe-1A Jaguar Nebulae Tsubame 2.0

Hopper II0

500

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1500

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0

2

4

6

8Gi-

gaflopsMegawatt

s

Much More Power Efficient

Tesla GPUs Tesla GPUs Tesla GPUs CPU OnlyCPU Only

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Transformational for Customers

4 Months 2 Years

$1M Budget

~120 Compute Nodes~45 CPU + GPU Nodes

Time to Discovery

7

#1 Numerical ComputationMATLAB

#1 Molecular DynamicsAMBER

#1 Engineering SimulationANSYS

#1 3D DCC3ds Max

Science Category GPU Port Complete GPU Port Started & Results Published Early GPU Port

Molecular DynamicsNAMDAMBER

DL_POLYCHARMMGROMACS

Chemistry LAMMPS MOLPROGAMESS

CPMDDESMONDGAUSSIAN

Fluid Dynamics OpenFOAM S3DFEFLO ANSYS CFD

Structural Mechanics ANSYS MechanicalSimulia Abaqus/Std (beta)

CTHLS-DYNA Implicit

MSC MarcPAM-CRASH IMPLICIT

MSC Nastran

Earth Science WRFHOMME, HYCOM

COSMO-2, PFLOTRANASUCA

CCSM/CESM

Material Science PARATEC LAMMPSPWscf

CPMDVASP

GAUSSIAN

Oil & Gas Schlumberger Petrel VoxelGeo Paradigm

Analytics MatlabMathworks

Others GADGET2GTC

MILCDENOVO

Leading HPC Applications Ramping

9

CUDA Taking HPC by Storm

2005 2006 2007 2008 20090

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NVIDIA GPGPU:Papers and Articles

100,000 Active GPU Developers

400 Universities Teaching CUDA

1000+ Clusters Worldwide

35+ CUDA Research Centers

200,000,000 CUDA GPUs Deployed

100% OEMs offer CUDA GPUs