GTC 2012 Jen-Hsun Huang Keynote

1. Jen-Hsun Huang Co-founder, President and CEO, NVIDIA GTC | San Jose Convention Center | May 15, 2012

2. CUDA by the Numbers 150K 1.5M CUDA Downloads CUDA Downloads 1 35 Supercomputers Supercomputer 60 560 Universities Universities 4,000 22,500 Academic Papers Academic Papers 2008 2012

3. Technical Papers Published 25000 CUDA Hadoop OpenMP 20000 15000 10000 5000 0 2007 2008 2009 2010 2011

4. “GPU computing has utterly transformed the science we can do. ” Iain Couzin Princeton University “When I first programmed in CUDA I was so excited to see the progress of the algorithm literally within seconds... I was unable to sleep. ” Dr. Gary Junkin Universidad Autónoma de Barcelona “I want to say thanks to the engineers at NVIDIA! CUDA has saved my thesis. ” Stanley Reid Seibert University of Texas, Austin

5. 2007 Supercomputing Exhibit Floor

6. 2011 Supercomputing Exhibit Floor

7. The Science of GTC ADAPTIVE RADIOTHERAPY DENDRITE SIMULATION COLLECTIVE BEHAVIOR COMBUSTION EFFICIENCY AIR TRAFFIC MODELING SEISMIC TOMOGRAPHY Artificial Intelligence Astronomy Astrophysics Audio Processing Bioinformatics Business Intelligence Climate & Weather Modeling Cloud Computing Computational Finance Computational Fluid Dynamics Computational Photography Computational Physics Computational Structural Mechanics Computer Graphics Computer Vision Film Effects Electronic Design Automation Energy Exploration Image Processing Machine Learning Machine Vision Medical Imaging Molecular Dynamics Numerical Processing Quantum Chemistry Ray Tracing Stereoscopic 3D Video Processing Visualization

8. KEPLER Graphics Computing

9. DEMO: 690 REVEAL

10. DEMO: DESTRUCTION

11. DEMO: WATER

12. KEPLER THE WORLD’S FASTEST, MOST EFFICIENT HPC ACCELERATOR SMX Hyper-Q Dynamic Parallelism

13. Fermi SM Kepler SMX 3x Energy-Efficient Performance CONTROL LOGIC CONTROL LOGIC 32 cores 192 cores

14. Hyper-Q FERMI 1 Work Queue KEPLER 32 Concurrent Work Queues

15. Without Hyper-Q 100 GPU Utilization % 50 0 Time

16. With Hyper-Q 100 GPU Utilization % 50 0 Time

17. Dynamic Parallelism CPU Fermi GPU CPU Kepler GPU

18. Dynamic Parallelism Too fine Too coarse Adaptive

19. DEMO: NBODY

20. DEMO: GALAXY

21. Tesla K10 Tesla K20 3x Single Precision 1.8x Memory Bandwidth Imaging, Signal, Seismic 3x Double Precision Hyper-Q, Dynamic Parallelism CFD, FEA, Finance, Physics Available Q4 2012 Available Now

22. Something New…

23. Cloud Graphics Computing

24. KEPLER THE WORLD’S FIRST GPU for CLOUD COMPUTING Virtualized GPU Low-Latency Remote Display Super Energy-Efficient

25. World’s First Virtualized GPU

26. “BYOD” Windows PCs Macs Tablets and Smartphones

28. “PC as an APP” Hypervisor Virtual Machine Guest OS Application Citrix XenDesktop Software Graphics Software Encoder

29. NVIDIA VGX GPU-Accelerated VDI Hypervisor Virtual Machine Guest OS Application Citrix XenDesktop NVIDIA Virtual GPU Manager Driver & Software Per-VM Channel GPU MMU Remote Display KEPLER GPU

30. SUMIT DHAWAN Group VP and GM

31. DEMO: CITRIX

32. GRADY COFER Visual Effects Supervisor

33. DEMO: ILM

34. DEMO: 100 SCREENS

35. DAVID YEN GM and SVP, Data Center Group

38. Video Distribution 250 200 Billion Dollars 150 100 50 0 Blu Ray/DVD Sales & Rentals Video Services (Pay TV + Streaming) Sources: PWC, ABI Research

39. GeForce®GRID

40. Game Input Lag in Milliseconds Gaikai powered by Geforce Grid 50 10 30 5 66 Pro Athlete Pro Gamer Average human response time MLB pitch Cloud Gen I 100 30 75 15 66 Console + TV 100 66 0 50 100 150 200 250 300 350 400 Game pipeline Display

41. Game Input Lag in Milliseconds Gaikai powered by GeForce GRID 50 10 30 5 66 Cloud Gen I 100 30 75 15 66 Console + TV 100 66 0 50 100 150 200 250 300 350 400 Game pipeline Capture/Encode Network Decode Display

42. DAVID PERRY CEO and Co-Founder

43. DEMO

44. NVIDIA Cloud GPU Ecosystem Enterprise VDI Cloud Gaming Service

46. Cloud Graphics Computing