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



Authors are invited to submit full papers to the workshop. Full papers must be submitted through the workshop submission site. Full papers should not exceed six double-column pages in ACM conference format. This limit includes figures, tables, and references.

Accepted papers will be published in the workshop proceedings and in the ACM Digital Library (note that authors of these works retain their copyright rights to publish more complete versions later). As per ACM guidelines, at least one of the authors of accepted papers is required to register for the workshop.

Important dates

Start 8 May 2018 08:00 CET
End 10 May 2018 18:00 CET
Submission deadline
10 February 2018
24 February 2018
Decision notification 14 March 2018
Camera-ready copy 28 March 2018


Program Chairs Technical Program Committee
  • Andreea Anghel
    IBM Research – Zurich, CH
  • Gero Dittmann
    IBM Research – Zurich, CH
  • Sandro Fiore
    Euro-Mediterranean Center on Climate Change, IT
  • Dimitra Gkorou
    ASML, NL
  • Abhishek Mukherjee
    Oramon Labs, NL

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