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Nvidia/IBM to Build Two Coral 100+ Petaflop Supercomputers in 2017

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In this deck, Sumit Gupta from Nvidia describes the company's big win with IBM for two supercomputers for deployment in 2017. The two machines will feature IBM POWER processors coupled with Nvidia's future Volta GPU technology.

IBM today announced that the U.S. Department of Energy has awarded IBM contracts valued at over $300 million to develop and deliver the world’s most advanced “data centric” supercomputing systems at Lawrence Livermore and Oak Ridge National Laboratories to advance innovation and discovery in science, engineering and national security. IBM’s new systems using a “data centric” approach puts computing power everywhere data resides, minimizing data in motion and energy consumption.

Watch the video presentation: http://insidehpc.com/2014/11/slidecast-nvidiaibm-build-two-coral-100-petaflop-supercomputers-2017/

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Nvidia/IBM to Build Two Coral 100+ Petaflop Supercomputers in 2017

  1. 1. 1 Today’s  Information is Embargoed Embargo Date is Friday, Nov 14, 2014, 10 am EST
  2. 2. 2 U.S. to Build Two Flagship Supercomputers
  3. 3. 3 US to Build Two Flagship Supercomputers Major Step Forward on the Path to Exascale 150-300 PFLOPS Peak Performance IBM POWER9 CPU + NVIDIA Volta GPU NVLink High Speed Interconnect 40 TFLOPS per Node, >3,400 Nodes 2017 SUMMIT SIERRA
  4. 4. 4 Just 4 nodes in Summit would make the Top500 list of supercomputers today Similar Power as Titan 5-10x Faster 1/5th the Size 150 PF = 3M Laptops
  5. 5. 5 Built for Grand Scientific Challenges Fusion Energy Role of material disorder, statistics, and fluctuations in nanoscale materials and systems. Combustion Combustion simulations to enable the next gen diesel/bio- fuels to burn more efficiently Climate Change Study climate change adaptation and mitigation scenarios; realistically represent detailed features Nuclear Energy Unprecedented high-fidelity radiation transport calculations for nuclear energy applications Biofuels Search for renewable and more efficient energy sources Astrophysics Radiation transport – critical to astrophysics, laser fusion, atmospheric dynamics, and medical imaging
  6. 6. 6 POWER is the PROBLEM 150 PF CPU-only System would require half the power of Las Vegas
  7. 7. 7 IBM POWER CPU Most Powerful Serial Processor NVIDIA NVLink Fastest CPU-GPU Interconnect NVIDIA Volta GPU Most Powerful Parallel Processor Accelerated Computing 5x Higher Energy Efficiency 80-200 GB/s
  8. 8. 8 VOLTA GPU Featuring NVLINK and Stacked Memory NVLINK GPU high speed interconnect 80-200 GB/s 3D Stacked Memory 4x Higher Bandwidth (~1 TB/s) 3x Larger Capacity 4x More Energy Efficient per bit
  9. 9. 9 NVLink High-Speed GPU Interconnect NVLink NVLink POWER CPU X86, ARM64, POWER CPU X86, ARM64, POWER CPU PASCAL GPUKEPLER GPU 20162014 PCIe PCIe
  10. 10. 10 0x 50x 100x 150x 200x 250x 300x 350x 400x 450x 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Leading the Way to Exascale Accelerated Systems on Path to Exascale Peak Performance of Top Supercomputers, 2009-2018 PeakPerfComparedtoJaguarSupercomputer * Projection based on the three supercomputers JAGUAR TITAN SUMMIT EXASCALE SUPERCOMPUTER
  11. 11. 11 Exascale Supercomputers Required to Address Future Scientific Challenges Comprehensive Earth System Model at 1 km scale, enabling modeling of cloud convection and ocean eddies. Coupled simulation of entire cells at molecular, genetic, chemical and biological levels. First-principles simulation of combustion for new high-efficiency, low-emission engines. Predictive calculations for thermonuclear and core-collapse supernovae, allowing confirmation of theoretical models.
  12. 12. 12 Summary The U.S. is building the two flagship supercomputers, 3x faster  than  today’s  fastest  system. Higher performance supercomputers are necessary to enable new waves of scientific innovation and discovery, such as delivering safe fusion energy, combating climate change, finding new alternative energy, and enabling better, safer consumer products. IBM & NVIDIA are inventing new technologies that will enable exascale computing

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