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Introduction

The deployment of extreme scale computing platforms in research and industry coupled with the proliferation of large and distributed digital data sources have the potential for unprecedented insights and understanding in all areas of science, engineering, business, and society in general. However challenges related to the Big Data generated and processed by these systems remain a significant barrier in achieving this potential.

Addressing these challenges requires a seamless integration of the extreme scale/high performance computing, cloud computing, storage technologies, data management, energy efficiency, and big data analytics research approaches, framework/technologies, and communities. The convergence and integration of HPC, cloud computing and data analysis is crucial to the future. To achieve this goal, both communities need to collectively explore and embrace emerging disruptions in architecture and hardware technologies as well as new data-driven application areas such as those enabled by the Internet of Things. Finally, educational and workforce development structures have to evolved to develop the required integrated skillsets.

The goal of this workshop is to bring leading researchers from these communities together to jointly explore such integration, and to develop a research agenda towards brings the diverging research groups and technologies stack toward a more convergent path. The workshop provides a forum for scientists and engineers in academia and industry to present their latest research findings on major and emerging topics in this field.

Call for paper

Important date

2017-01-23
Draft paper submission deadline
2017-02-10
Draft paper acceptance notification
2017-02-24
Final paper submission deadline

Submission Topics

  • Models and techniques for scalable data analysis

  • Extreme data discovery solutions

  • HPC and extreme scale platforms for Big Data analytics

  • Exascale data analysis programming abstractions and services

  • Parallel and distributed Big Data analysis algorithms

  • Data analysis as a service infrastructure

  • Code coordination and data integration on HPC platforms

  • Interoperability of Big Data analytics frameworks

  • Adaption of data mining algorithms on extreme scale systems

  • Data-centric scalable programming tools and algorithms

  • High-performance and Big Data analytics frameworks, programming models, and tools

  • Leveraging processing, storage and communications technologies (multi/many-core architectures, accelerators, RDMA-enabled networking, NVRAMs and SSDs) in integrated HPC Big Data applications

  • Performance modeling and evaluation of integrated HPC Big Data applications

  • Fault tolerance, reliability and availability for high-performance Big Data computing

  • New storage devices for Big Data management in HPC and Clouds

  • Security issues in Big Data analysis and management in HPC and Clouds

  • Energy-efficiency issues in Big Data analysis and management in HPC and Clouds

  • Stream data processing in HPC and Clouds

  • Case studies of data-intensive applications in HPC and Clouds

  • Scheduling and provisioning data analytics on hybrid Cloud and HPC infrastructure

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Important Date
  • Conference Date

    May 14

    2017

    to

    May 17

    2017

  • Jan 23 2017

    Draft paper submission deadline

  • Feb 10 2017

    Draft Paper Acceptance Notification

  • Feb 24 2017

    Final Paper Deadline

  • May 17 2017

    Registration deadline