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Challenge and Opportunity of HPC-based Distributed Systems

Challenge and Opportunity of HPC-based Distributed Systems. Yunquan Zhang Lab. of Parallel Software and Computational Science Institute of Software, CAS zyq@mail.rdcps.ac.cn. Questions.

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Challenge and Opportunity of HPC-based Distributed Systems

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  1. Challenge and Opportunity of HPC-based Distributed Systems Yunquan Zhang Lab. of Parallel Software and Computational Science Institute of Software, CAS zyq@mail.rdcps.ac.cn

  2. Questions What will be the disruptive technology for parallel and distributed systems in the near future and what will be its impact? What are the new opportunities for the community? How academic research can help? How the recent China achievement will influence the course of HPC research?

  3. 2010 China HPC Top 10

  4. China HPC TOP100 Authors with Tianhe 1A 数学软件分会孙家昶、袁国兴和张云泉等三人现场考察国防科技大学研制成功的千万亿次超级计算系统“天河一号A”

  5. International Collaboration 国际TOP500作者之一 、美国田纳西大学Jack Dongarra教授和Beowulf之父LSU Thomas Sterling教授、数学软件分会副理事长迟学斌 研究员、秘书长 张云泉 研究员等现场考察天河1A

  6. China HPC TOP100 Performance Analysis • Tianhe 1A from National University of Defense Technology takes #1 again with Linpack performance of 2.5 PFlops • Total Linpack perf. is 6.23PFlops, 2.83 times of 2009 • The Linpack performance of all systems is above 9.6TFlops • Peak performance all exceeds 11TFlops • The first 3 systems are CPU/GPU hybrid • 98 out of 100 are clusters

  7. Performance Trends of China HPC TOP100

  8. 1993-2010China HPC performance development • 1993-1996 Slow steady • 1996-1999 First Big jump • 1999-2001 Slow steady Again • 2001-2005 Another period of quick development • 2005-2007 Slow steady again • 2008- 2010/2011, dramatic development within 2-3 years • 2011/2012- , Slow steady again

  9. Trend & Outlook (2) PreviousPredictions • 2007-2008: System with peak performance of 100TFlops (Reality: Oct 2008) • 2008-2009: Total Linpack performance exceeds Pflops (Reality: Oct 2008) • 2010-2011: System with peak performance of 1PFlops (Reality: Oct 2009)

  10. Trend & Outlook (3) • 2012-2013: System with peak performance of 10 Pflops • 2011-2012: Total Linpack performance reaches 10PFlops • 2014-2015: System with peak performance of 100 Pflops • 2013-2014: Total Linpack performance reaches 100 PFlops

  11. Questions 1 • What will be the disruptive technology for parallel and distributed systems in the near future and what will be its impact? • Cloud Computing = Virtualization+HPC+SaaS • GPGPU/Fusing of CPU and GPU/Many Cores • Blurring the boundary between parallel computing and distributed computing • Increasing the power efficiency and the parallel programming difficulty simultaneously

  12. Questions 2 • What are the new opportunities for the community? How academic research can help? • Widespread use of parallel computing techniques • Strong user demands on HPC tech. • Research on huge volume data storage and processing techniques/large scale parallel file system • Research on new parallel programming/cloud computing model/productivity/reliability • How to utilize cloud computing to support HPC?

  13. Questions 3 • How the recent China achievement will influence the course of HPC research? • Strongly changing the progress and adoption of CPU+GPU heterogeneous cluster architecture • IPE of CAS, NUDT and Dawning Company. • Speeding up the release of Fermi GPU with ECC • Two swimming lanes of USA Exascale Roadmap • CPU+GPU(Cray + Nvidia + ORNL) • Blue Water

  14. 谢 谢 ！ Thank You!

  15. While digital device and digital information become immersive, internet computing as a discipline is at a turning point. Modern computing and communication systems are unprecedented powerful and, in the meantime, unprecedented complex. On one hand, new computing paradigms, such as cloud computing, internet of things, cyberinfrastructure, and data centric computing, continue emerging to utilize technological advances. On the other hand, timely challenges, such as reliability, security, power consumption, and coordination and consistency, have to be addressed to meet the ever increasing user demand. High performance computing (HPC) is moving from Peta-flops era to Exa-scale era. How the changing will influence data center based distributed computing, and vice visa. We are at a historical point to ask: what are the challenges and opportunities of HPC-based distributed systems? This is especially true for Far East, where China just historically reached the first place on the HPC top500 list and launched a unique program in Internet of Things. This panel invites outstanding leaders around the world to explore deliberations regarding the strategic value of HPC-based distributed systems and discuss disruptive technologies and innovations most likely to overturn today’s internet computing landscape.

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