GPU are delivering exponential improvements in computing performance and scalability. And new parallel programming architectures such as CUDA are allowing smart technologists to harness the power of GPUs to address hitherto insoluble problems. This talk will illustrate the emerging opportunities and solutions that GPUs and parallel programming can offer in medical instruments and imaging, defense and surveillance, autonomous vehicles, the internet of things and sensory computing, manufacturing design and simulation, and seismic geology. The talk will be relevant to entrepreneurs who are thinking about the "next big thing" and to investors who may be thinking of the future mega trends.

1. SHANKER TRIVEDI
Vice President, Worldwide Sales (PSG) | August 2013

2. NVIDIA
THE VISUAL COMPUTING COMPANY

3. NVIDIA Growth Drivers
~$800M / 15% CAGR~$1B / 9% CAGR ~$200M / 68% CAGR ~$2B / 32% CAGR
CUDA & GRID
20M Artists & Designers
100M PLM users
SHIELD & GRID
400M Gamers
TESLA & GRID
5-10M Servers
GPU, TEGRA & IP
Billions of Devices
PRO-VISUALIZATION
& DESIGN
GAMING HPC & BIG DATA
ANALYTICS
OEM
Revenue based on current run rates. CAGR from FY10-FY13.

4. A Modest Beginning

6. The March of GPUs
0
50
100
150
200
250
2007 2008 2009 2010 2011 2012
GBytes/s
Peak Memory Bandwidth
M1060
Nehalem
3 GHz
Westmere
3 GHz
8-core
Sandy Bridge
3 GHz
Fermi
M2070
Fermi+
M2090
0
200
400
600
800
1000
1200
1400
2007 2008 2009 2010 2011 2012
Gflops/s
Peak Double Precision FP
Nehalem
3 GHz
Westmere
3 GHz
Fermi
M2070
Fermi+
M2090
M1060
8-core
Sandy Bridge
3 GHz
NVIDIA GPU (ECC off) x86 CPUDouble Precision: NVIDIA GPU Double Precision: x86 CPU
Kepler Kepler

7. GPUs Enable Next Generation
Graphics (with Computing)
Deferred Lighting, Depth of Field and Post-Processing | Facial Performance |
Wave and Fire Simulation | Interactive Global Illumination |
Volumetric Lighting and iRAY on CUDA

8. CPU GPU + CPU
MotionDSP ISR Example

9. Aerodynamics/CFD
Stealth & Antenna
Satellite Imaging
Computer Vision
Video Enhancement
Signal Processing
10x-100x Faster Thanks to GPUs

10. AMBER 12 – 25X CHEAPER
Traditional CPU Cluster GPU Workstation
Nodes Required 12 1 (4 GPUs)
Interconnect QDR IB None
Time to complete simulations 4.98 days 2.25 days
Power Consumption 5.7 kW (681.3 kWh) 1.0 kW (54.0 kWh)
System Cost (per day) $96,800 ($88.40) $5200 ($4.75)
Simulation Cost (681.3 * 0.18) + (88.40 * 4.98) (54.0 * 0.18) + (4.75 * 2.25)
$562.87 $20.41
4 simultaneous simulations, 23,000 atoms, 250ns each
AND TAKES LESS THAN HALF THE TIME!
Source: San Diego Supercomputing Center

11. Better Simulation - Toto Example

12. MEDIA & ENT. OIL AND GAS RESEARCH MANUFACTURINGGOVERNMENT
The buyer plans for including accelerators in their
next technical computing server purchase has more
than doubled from 29% to over 65% in last 20 months.
IDC Market Research
April, 2013
“
”
GPUs becoming mainstream in the Data Center
For Scientific & Technical Computing

13. Increasing Developer Momentum
2008 2013
4,000
Academic Papers
150K
CUDA Downloads
60
University Courses
100M
CUDA –Capable GPUs
1
Supercomputer
430M
CUDA-Capable GPUs
50
Supercomputers
1.6M
CUDA Downloads
640
University Courses
37,000
Academic Papers

14. Easiest Way to Learn CUDA
50K
Registered
127
Countries
$$
Learn from the Best
Anywhere, Any Time
It’s Free!
Engage with an Active Community

15. Beyond HPC
Big Data Analytics
Machine Learning
Computer Vision
Visual Shopping
Real-time
Video Delivery
Searching Audio
Analyzing Twitter

16. The New Enterprise
Mobile | BYOD | Massive Data

17. NVIDIA GRID
Virtualized GPU Servers
Visual Computing Appliances

18. Meet Ira!
The Next Generation of Visual Computing
http://www.youtube.com/watch?v=Vx0t-WJFXzo

19. Project Logan
The Most Advanced GPU Comes to Mobile
There’s no other mobile
processor demo that
comes close. They’ve
raised the bar for the
entire graphics industry.
“
”

20. Console Games Can Now Target Mobile

21. What’s the Next
Big Thing?

23. Resources
http://www.slideshare.net/shankert/nvidia-intro-0513
http://blogs.nvidia.com/
https://www.facebook.com/gpucomputing
http://www.nvidia.com/object/race-for-better-science.html
http://www.gputechconf.com/page/home.html
http://www.gputechconf.com/page/gtc-learning-center.html
http://www.slideshare.net/shankert/nvidia-gtc-computerecapbrochure
http://sarahtariq.com/presentations.html
https://developer.nvidia.com/
http://www.nvidia.com/object/tesla_software.html
http://gpu.meetup.com/
http://gpgpu.org/
https://www.udacity.com/course/cs344
https://www.coursera.org/course/hetero