CEBDA 2019

The third International workshop on the Convergence of Extreme Scale Computing and Big Data Analysis

Held in conjunction with IEEE/ACM CCGrid Larnaca, Cyprus, May 14-17, 2019

Workshop Description

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 exascale systems 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 evolve 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 that 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.

Workshop Topics

A partial list of topics of interest is as follows:

  • Models and techniques for scalable data analysis
  • Extreme data discovery solutions
  • Extreme scale platforms for Big Data analytics
  • Exascale data analysis programming abstractions and services
  • Parallel and distributed Big Data analysis algorithms
  • Code coordination and data integration on HPC platforms
  • Adaption of data mining/analysis algorithms to extreme scale systems
  • Data-centric highly scalable programming tools and algorithms
  • Convergence of High-performance computing and Big Data analytics frameworks, programming models, and tools
  • Scalable storage architectures for extreme scale systems
  • Techniques for data integrity and availability for extreme scale systems
  • New storage devices for Big Data management in exascale systems
  • Security issues in Big Data analysis and management in extreme scale systems
  • Energy-efficiency issues in Big Data analysis and management in exascale systems
  • Stream data processing in exascale systems
  • Case studies of data-intensive applications in exascale systems
  • Scheduling and provisioning data analytics on hybrid Cloud and Exascale infrastructure
  • Accuracy and correctness of Big Data analysis on exascale systems
  • In-situ techniques for extreme scale data analytics
  • Machine learning techniques for exascale scale applications

Submission Guidelines

All papers need to be submitted electronically through EasyChiar-CEBDA2019 with PDF format.

Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. Papers must be clearly presented in English, and may not exceed 8 letter-size (8.5 x 11) pages including all figures, tables and references using the IEEE format for conference proceedings.

Templates are available at:

  • LaTex Package ZIP
  • Word Template DOC and PDF

Submitted papers must represent original and unpublished work, that is not currently under review. All manuscripts will be evaluated according to their significance, originality, technical content, style, clarity, quality of presentation, and relevance to the workshop. At least one author of each accepted paper is expected to attend the workshop.


All papers accepted and presented at the CEBDA 2019 workshop will be published together with the proceedings of other CCGrid 2019 workshops, and will be submitted to IEEE Xplore for publication and EI indexing.

Journal Special Issue

Authors of the best technical papers will be invited to submit an extended version of their work to the special issue on the Convergence of Extreme Scale Computing and Big Data Analysis (To be confirmed).

Organizing Committee

Workshop Co-Chairs:

Shadi Ibrahim, Inria, France
Manish Parashar, Rutgers University, USA
Anna Queralt, Barcelona Supercomputing Center, Spain
Domenico Talia, University of Calabria, Italy

Program Committee (To be completed)

Jean-Thomas Acquaviva, Data Direct Networks, France
Guillaume Aupy, Inria, France
Suren Byna, Lawrence Berkeley National Laboratory ordinary, USA
Alexandru Costan, Inria, France
Simon Dobson, University of St Andrews, UK
Matthieu Dorier, Argonne National Laboratory, USA
Hai Jin, Huazhong University of Science and Technology, China
Michael Kuhn, University of Hamburg, Germany
Thomas Lambert, Inria, France
Xiaoyi Lu, The Ohio State University, USA
Fabrizio Marozzo, University of Calabria, Italy
Dana Pectu, West University of Timisoara, Romania
Depei Qian, Beihang University, China
Rob Ross, Argonne National Laboratory, USA
Pradeep Subedi, Rutgers University, USA
Paolo Trunfio, University of Calabria, Italy
Amelie Chi Zhou, ShenZhen University, China

© CEBDA 2019