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GTC 2013 Jen-Hsun Huang Keynote

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NVIDIA
NVIDIA

This document discusses NVIDIA's GPU computing technologies and their applications. It highlights NVIDIA's growth in GPU computing from 2008 to 2013, including increases in CUDA downloads and academic papers published. It also summarizes applications of GPU computing such as ocean simulations, facial animation, big data analytics, computer vision, and remote graphics with NVIDIA GRID.

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CONNECTING PEOPLE WITH IDEAS
Wave Works Real-Time Beaufort-Scale Ocean Simulation
Rendering the Human Face uncanny valley human likeness 50% 100% Familiarity
Face Works Advanced Real-Time Character Performance
GPU Computing
Growth of GPU Computing 2008 2013 100M CUDA –Capable GPUs 150K CUDA Downloads 1 Supercomputer 60 University Courses 4,000 Academic Papers 430M CUDA-Capable GPUs 1.6M CUDA Downloads 50 Supercomputers 640 University Courses 37,000 Academic Papers
2008 Supercomputing Exhibit Floor
2012 Supercomputing Exhibit Floor
40 35 30 25 20 15 10 5 0 Top500: Performance from Accelerators 2007 2008 2009 2010 2011 2012 Total Performance (PFLOPS) NVIDIA Kepler NVIDIA Fermi Intel Xeon Phi IBM Cell Other
EUROPE’S FASTEST GPU SUPERCOMPUTER Piz Daint
Science of GTC 3D Genomics Baylor & Rice Gigapixel Camera Arrays Duke & Arizona Centrifuge Analysis Beckman Coulter Alzheimer’s Research Stanford High Energy Physics Princeton Materials Simulations Oak Ridge National Lab
GPUs and Big Data 2007 2008 2009 2010 2011 2012 500M Tweets 1M Expressions <5 Minutes Tweets Per Day 500 400 300 200 100 0 Millions
JASON TITUS CTO
GPUs and Audio Search SHAZAM 2008 2009 2010 2011 2012 2013 300M 200M 100M 0 300M User Queries (per month)
DEMO: CORTEXICA
Visual GPUs and Search Visual Evolution Search Facial Recognition 3D Objects Brands Books & CD Covers Wine Labels PAST CURRENT FUTURE
Color Inversion 5x Segmentation 5x Face Detection 6x Transforms 10x Feature Detection 6x Depth Maps 25x Fitting 60x Optical Flow 10x Point Clouds 50x Edge Detection 60x Histogram of Oriented Gradients 5x Corner Detection 8x
GPU Roadmap 2008 2010 2012 2014 DP GFLOPS per Watt Kepler Tesla Fermi Maxwell Volta Stacked DRAM Unified Virtual Memory Dynamic Parallelism FP64 CUDA 32 16 8 4 2 1 0.5
Kepler
Volta with Stacked DRAM
Tegra Roadmap 2011 2012 2013 2014 2015 Performance 100 10 1 Tegra 4 Tegra 2 Tegra 3 Logan Parker Denver CPU Maxwell GPU FinFET Kepler GPU CUDA OpenGL 4.3 1st LTE SDR Modem Computational Camera 1st Quad A9 1st Power-Saver Core 1st Dual A9
KAYLA
Remote Graphics
NVIDIA GRID Enterprise Ecosystem
CAD ON GRID
The World’s 1st Visual Computing Appliance
Remote GPU-Accelerated Workspace GRID available to ALL 16 Concurrent Users
NVIDIA GRID Visual Computing Appliance
SolidWorks on GRID GIAN PAOLO BASSI VP, Research & Development
Adobe & Autodesk on GRID JAMES FOX CEO, Dawnrunner
RTT on GRID LUDWIG FUCHS CEO
Point-of-Sale Interactive Showroom on GRID
JULES URBACH Founder & CEO JOSH TRANK Director, Fantastic Four
LA San Jose Announcing
NVIDIA GRID VCA BASE $24,900 + $2,400/yr SW license (unlimited devices) MAX $39,900 + $4,800/yr SW license (unlimited devices) Kepler GPUs (4GB FB ea) 8 16 CPU Threads 16 32 System Memory 192 GB 384 GB
CONNECTING PEOPLE WITH IDEAS

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GTC 2013 Jen-Hsun Huang Keynote

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