Silicom Ventures Talk Aug 2013 - GPUs and Parallel Programming create new opportunities

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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.

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Silicom Ventures Talk Aug 2013 - GPUs and Parallel Programming create new opportunities

  1. 1. SHANKER TRIVEDI Vice President, Worldwide Sales (PSG) | August 2013
  2. 2. NVIDIA THE VISUAL COMPUTING COMPANY
  3. 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. 4. A Modest Beginning
  5. 5. 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
  6. 6. 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
  7. 7. CPU GPU + CPU MotionDSP ISR Example
  8. 8. Aerodynamics/CFD Stealth & Antenna Satellite Imaging Computer Vision Video Enhancement Signal Processing 10x-100x Faster Thanks to GPUs
  9. 9. 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
  10. 10. Better Simulation - Toto Example
  11. 11. 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
  12. 12. 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
  13. 13. Easiest Way to Learn CUDA 50K Registered 127 Countries $$ Learn from the Best Anywhere, Any Time It’s Free! Engage with an Active Community
  14. 14. Beyond HPC Big Data Analytics Machine Learning Computer Vision Visual Shopping Real-time Video Delivery Searching Audio Analyzing Twitter
  15. 15. The New Enterprise Mobile | BYOD | Massive Data
  16. 16. NVIDIA GRID Virtualized GPU Servers Visual Computing Appliances
  17. 17. Meet Ira! The Next Generation of Visual Computing http://www.youtube.com/watch?v=Vx0t-WJFXzo
  18. 18. 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. “ ”
  19. 19. Console Games Can Now Target Mobile
  20. 20. What’s the Next Big Thing?
  21. 21. 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

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