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

CUDA by the Numbers

2008 2012

4,000 Academic Papers

22,500 Academic Papers

150K CUDA Downloads

1.5M CUDA Downloads

60 Universities

560 Universities

35 Supercomputers

1 Supercomputer

Technical Papers Published

25000

0

20000

15000

10000

5000

CUDA Hadoop OpenMP

2007 2008 2009 2010 2011

“I want to say thanks to the engineers at NVIDIA!

CUDA has saved my thesis. ” Stanley Reid Seibert

University of Texas, Austin

“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

“GPU computing has utterly transformed

the science we can do.

” Iain Couzin

Princeton University

2007 Supercomputing Exhibit Floor

2011 Supercomputing Exhibit Floor

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

The Science of GTC

ADAPTIVE

RADIOTHERAPY

DENDRITE

SIMULATION

COLLECTIVE

BEHAVIOR

COMBUSTION

EFFICIENCY

AIR TRAFFIC

MODELING

SEISMIC

TOMOGRAPHY

Graphics Computing

KEPLER

DEMO: 690 REVEAL

DEMO: DESTRUCTION

DEMO: WATER

KEPLER THE WORLD’S FASTEST, MOST EFFICIENT HPC ACCELERATOR

SMX

Hyper-Q

Dynamic Parallelism

3x Energy-Efficient

Performance

CONTROL LOGIC

192 cores

CONTROL LOGIC

32 cores

Fermi

SM Kepler

SMX

Hyper-Q

FERMI 1 Work Queue

KEPLER 32 Concurrent Work Queues

Without Hyper-Q

Time

100

50

0

GPU

Uti

lizati

on %

With Hyper-Q

Time

100

50

0

GPU

Uti

lizati

on %

CPU Fermi GPU CPU Kepler GPU

Dynamic Parallelism

Dynamic Parallelism

Too fine Adaptive Too coarse

DEMO: NBODY

DEMO: GALAXY

3x Single Precision

1.8x Memory Bandwidth

Imaging, Signal, Seismic

3x Double Precision

Hyper-Q, Dynamic Parallelism

CFD, FEA, Finance, Physics

Tesla K10 Tesla K20

Available Q4 2012 Available Now

Something New…

Graphics Computing

Cloud

KEPLER THE WORLD’S FIRST GPU for CLOUD COMPUTING

Virtualized GPU

Low-Latency Remote Display

Super Energy-Efficient

World’s First Virtualized GPU

“BYOD”

Windows PCs Tablets and

Smartphones

Macs

“PC as an APP”

Virtual Machine

Guest OS

Application

Citrix XenDesktop

Software Graphics Software Encoder

Hypervisor

NVIDIA VGX GPU-Accelerated VDI

Hypervisor Virtual Machine

Guest OS

NVIDIA Driver & Software

Citrix XenDesktop

Application

Remote Display

KEPLER GPU

GPU MMU

Per-VM Channel

Virtual GPU Manager

SUMIT DHAWAN Group VP and GM

DEMO: CITRIX

GRADY COFER Visual Effects Supervisor

DEMO: ILM

DEMO: 100 SCREENS

DAVID YEN GM and SVP, Data Center Group

Video Distribution

0

50

100

150

200

250

Blu Ray/DVDSales & Rentals

Video Services (Pay TV + Streaming)

Sources: PWC, ABI Research

Billion

Dollars

GeForce® GRID

Game Input Lag in Milliseconds

100

100

50

30

10

75

30

15

5

66

66

66

0 50 100 150 200 250 300 350 400

Console + TV

Cloud Gen I

Gaikaipowered by

Geforce Grid

Game pipeline Display

Pro Athlete

Pro Gamer

Average human

response time

MLB

pitch

Game Input Lag in Milliseconds

100

100

50

30

10

75

30

15

5

66

66

66

0 50 100 150 200 250 300 350 400

Console + TV

Cloud Gen I

Gaikaipowered by

GeForceGRID

Game pipeline Capture/Encode Network Decode Display

DAVID PERRY CEO and Co-Founder

DEMO

NVIDIA Cloud GPU Ecosystem

Enterprise VDI

Cloud Gaming Service

Graphics Computing

Cloud