Icme Stanford 20110507 Final
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Transcript of Icme Stanford 20110507 Final
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NVIDIA Confidential 1
Mathematics and Parallel Computing: Powering the 21st Century Industrial Revolution Shanker Trivedi, Vice President (Business Development) - NVIDIA Corporation
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NVIDIA Confidential 2
Super Phones to Super Computers
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NVIDIA Confidential 3
Tesla in 3 of Top 5 Super Computers
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Tianhe-1A Jaguar Nebulae Tsubame Hopper II
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NVIDIA Confidential 4
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Tianhe-1A Jaguar Nebulae Tsubame Hopper II
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Tesla “Green” Supercomputing
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NVIDIA Confidential 5
Super Computing Across Industries
Seismic Imaging Reverse Time Migration
Automotive Design Computational Fluid Dynamics
Product Development Finite Difference Time Domain
Options Pricing Monte Carlo
Weather Forecasting Atmospheric Physics
Drug Design Molecular Dynamics
Medical Imaging Computed Tomography
Astrophysics n-body
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NVIDIA Confidential 6
Gene Sequencing
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NVIDIA Confidential 7
Diagnostic Imaging
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NVIDIA Confidential 8
Seismic Processing
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NVIDIA Confidential 9
Defense and Intelligence
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NVIDIA Confidential 10
Financial Risk Management
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NVIDIA Confidential 11
Automobile Design – CFD
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NVIDIA Confidential 12
Languages & APIs
Developer Tools
Libraries
Fortran
Cloud Computing
CUDA Zone
EC2
CUDA Ecosystem Applications
Partners Microsoft, Dell
HP, IBM, ASUS, SuperMicro
Research & Education
CUDA C/C++ OpenCL DirectX11 Accelereyes, Acceleware, EM
Photonics, MAGMA, PGI, Rogue Wave, StoneRidge pyCUDA GPU.NET
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NVIDIA Confidential 13
[Industrial Light and Magic video]
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NVIDIA Confidential 14
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NVIDIA Confidential 15
Better Science @ Lower Cost Using Industry Standard Parallel Computing
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NVIDIA Confidential 16
[Three Pillars of Science video] http://www.nvidia.com/object/race-for-better-science.html
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NVIDIA Confidential 17
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Additional Materials
! “Illumination Effect in Reverse Time Migration”, Bruno Kaelin et al ! http://www.fusiongeo.com/publications/k3d/3DGeo-
IlluminationEffects_EAGE2007.pdf ! “Implementing 3D Finite Difference Codes on the GPU” by P.
Micikevicius ! Slides: http://www.nvidia.com/content/GTC/documents/1006_GTC09.pdf ! Video :
http://developer.download.nvidia.com/compute/cuda/docs/GTC09Materials.htm (talk 1006P
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CUDA Resources
! Introduction (basics, assume no GPU knowledge): ! Video: http://developer.download.nvidia.com/CUDA/training/cudaintrowebinar.mp4 ! Slides: http://www.nvidia.com/content/PDF/sc_2010/CUDA_Tutorial/SC10_CUDA_C_Basics.pdf
! Fundamental optimization: ! The two presentations are largely the same, the second one has some updates but no audio/video ! Slides/video: http://www.nvidia.com/object/gtc2010-presentation-archive.html#session2011 ! http://www.nvidia.com/content/PDF/sc_2010/CUDA_Tutorial/SC10_Fundamental_Optimizations.pdf
! Advanced optimization: ! The two presentations are largely the same, the second one has some updates but no audio/video ! Slides/video: http://www.nvidia.com/object/gtc2010-presentation-archive.html#session2012 ! http://www.nvidia.com/content/PDF/sc_2010/CUDA_Tutorial/SC10_Analysis_Driven_Optimization.pdf
! Miscellaneous: ! all NVIDIA webinars: http://developer.nvidia.com/object/gpu_computing_online.html#Previously ! all NVIDIA tutorials from Supercomputing 2010: http://www.nvidia.com/object/sc10_cuda_tutorial.html
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ICME Stanford May 7, 2011
Shanker Trivedi VP, Business Development