Aim and scope

Managing and processing large volumes of data, or “Big Data”, and gaining meaningful insights is a significant challenge facing the distributed computing community. As a consequence, many business are demanding large-scale streaming data analytics. This has a significant impact on a wide range of domains, including health care, bio-medical research, Internet searches, finance and business informatics, and scientific computing.

Despite considerable progress in high performance, storage capacity, and computation power, challenges remain in identifying, clustering, classifying, and interpreting a large spectrum of information.

The purpose of this workshop is to provide a fertile ground for collaboration among research institutions and industries in the fields of analytics, machine learning, and high-performance computing.

Topics of interest

  • High-performance data analytics
  • Machine and deep learning
  • Data search and representation
  • Architecture and system design
  • Cloud-based Big Data solutions
  • Software infrastructures


Important dates

Start 15 May 2017 08:00 CET
End 17 May 2017 18:00 CET
Submission deadline extended 24 February 2017
5 March 2017
Decision notification 30 March 2017
Camera-ready copy 4 April 2017


Program Chairs
  • Roberta Piscitelli
    EGI Foundation
  • Giovanni Mariani
    IBM Research
Technical Program Committee
  • Mario Barbareschi
    University of Naples Federico II, IT
  • Sandro Fiore
    Euro-Mediterranean Center on Climate Change, IT
  • Leandro Fiorin
    IBM Research, NL
  • Dimitra Gkorou
    ASML, NL
  • Rik Jongerius
    IBM Research, NL
  • Emiliano Mancini
    University of Amsterdam, NL
  • Abhishek Mukherjee
    Oramon Labs, NL
  • Christian Pilato
    University of Lugano, CH
  • Annalisa Riccardi
    University of Strathclyde, UK
  • Mark Thompson
    Leids Universitair Medisch Centrum, NL


IBM Research logo
EGI Foundation logo