This is a presentation that I gave at TiEcon Florida on 20 Sept 2013. I spoke about the new opportunities that are emerging for entrepreneurs caused by the disruptive innovation potential of GPU, CUDA and parallel computing technologies.
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 | iRAY on CUDA
8. CPU GPU + CPU
MotionDSP – Example
Image Stabilization & Rectification
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. CUDA 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
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127
Countries
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15. Big Data Analytics
Machine Learning
Computer Vision
Visual Shopping
Real-time
Video Delivery
Searching Audio
Analyzing Twitter
Beyond Scientific & Technical Computing
26. GPU & CUDA
Easy & Cheap
What’s the Next Big Thing?
Augmented Reality
Autonomous Robots
Computer Vision
Deep Machine Learning
Visual Analytics
Biological Computing