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Extreme-Scale HPC and Big Data Systems: A pathway to their convergence and beyond
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Extreme-Scale HPC and Big Data Systems: A pathway to their convergence and beyond

Extreme-Scale HPC and Big Data Systems: A pathway to their convergence and beyond
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High-performance computers and big-data systems are tied inextricably to the broader computing ecosystem and its designs and markets. However, during the past decade the eco-systems (the programming models, the system software stack, the software tools, etc.) of high-performance computing and big data appear to have been significantly diverged. Such divergence also presents serious challenges to computing architecture and hardware eco-system as well. Such situation has raised significant concerns: many felt that further divergence may be detrimental to both.

To address these concerns we must study the related open R&D problems that are shared by both HPC and Big-Data systems. The technical topics of this workshop have a system focus on the challenges and opportunities from relevant core technology and applications. The theme goes beyond supercomputing performance issues and includes talks on the challenges and opportunities from demand of global green computing and security needs — in ways that distinguish them from most other scientific instruments. This workshop provides unique opportunities to discuss open problems and potential solutions together under the same roof that will have far-reaching impact to future HPC and Big-Data systems, and beyond.

Program outline available here

Event information

  • Date: January 18 and 19, 2017
  • Time: 8:15 – 12:30 (Part 1) and 14:00 – 18:00 (Part 2)
  • Venue: Seminar Room, 1F, Green Computing System Research and Development Center, Building 40, Waseda University
  • Open to all Waseda University students, faculty and staff, and the general public
  • Free admission
  • Register for the workshop here
  • Contact: 03-5286-3444  [email protected]
  • Organized by: Frontier of Embodiment Informatics: ICT and Robotics
  • Co-sponsored by: IEEE Computer Society Japan Chapter, IEEE Computer Society Multicore STC, IEEE Computer Society Dataflow STC

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