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The fourth international Workshop on High Performance Big Data Computing (WHPBDC 2019)

Held in Conjunction With The IEEE Smart World Congress
19-23 August, 2019
De Montfort University - Leicester, UK

Overview

During the past few decades, there has been considerable evolution in the innovations in hardware architectures as the multi-core parallel machines or MIC (Many Integrated Cores) and the progress in the field of parallelism and techniques used to managing and processing Big Data. Processing large datasets for extracting information and knowledge has always been a fundamental problem. Today this problem is further exacerbated, and the sequential resolution is unable to find solutions in a reasonable time. However, parallelization in this context seeks to exploit the massive computing resources increasingly available on the multicore computers. The interplay between cores and architectures dramatically complicates the design of new approaches towards the parallelization of new frameworks that are central to achieving optimal performance.

The Workshop on High Performance Big Data Computing provides a platform for the dissemination of recent research efforts that explicitly aim at addressing these challenges. It supports the presentation of solutions for a modern HPC systems and the associated middleware which have been exploiting the advances in HPC technologies. It also support the new approach used to address the Big Data problems in cloud infrastructure.


Topics of Interest

The High Performance Big Data Computing workshop calls for contributions that address fundamental research and system issues in High Performance Big Data Computing including but not limited to the following: :

  • High performance Big Data frameworks, programming, models and tools
  • High-level parallel methods for structured and semi-structured datasets
  • High-level parallelism in programming languages and libraries
  • Big Data system on HPC and Grid computing
  • Many-Task Computing in the Cloud
  • World Wide Web with HPC and Grid computing
  • Linked Data in cloud architectures
  • Data mining, knowledge acquisition and data sources profiling
  • Analytic, prediction and evaluation of Big Data system
  • Prediction performance system
  • Evaluating Data Quality with HPC
  • Teaching experience with high-level tools and methods
  • Parallel algorithms for data-intensive applications
  • Domain-specific languages: design, implementation and applications
  • Energy-efficient data-intensive computing
  • Learning Algorithms

List of Accepted Papers

  • TBD

Submission & Deadlines

Submissions due: 26 April 2019

Notification of acceptance: 10 May 2019

Camera-ready papers due: 19 May 2019

Submissions

All papers should be of up to 6 pages including all figures, tables, and references. At most 2 additional pages with the pages overlength charge. Papers need to be prepared according to the IEEE CPS format via IEEE Manuscript Templates for Conference Proceedings. All accepted workshop papers will be included in the proceedings published by IEEE-CS Conference Publishing Services. The papers should be submitted through the Easychair conference management system. Authors of accepted papers, or at least one of them, are requested to register and present their work at the conference, otherwise their papers will be removed from the digital libraries of IEEE CS after the conference.

Special Issues

High-quality papers will be invited, after consolidation, to be published in special issues of appropriate international journals.


Committees

General Workshop and TPC Chair

  • Tarek Menouer, Umanis, France

Workshop Co-chair

  • Nitin Sukhija, Slippery Rock University of Pennsylvania, USA

Workshop TPC members

  • Otman Manad, Umanis, France
  • Christophe Cérin, Paris 13 University, France
  • Bertrand Le Cun, Google, France
  • Kenza Kellou, Paris Nanterre University, and DAVID, Versailles-Saint-Quentin-en-Yvelines University, France
  • Gaétan Hains, Huawei Technologies Paris, France
  • Clemens Grelck, University of Amsterdam, The Netherlands
  • Nouredine Melab, Lille University, France
  • Nahid Emad, Versailles-Saint-Quentin-en-Yvelines University, France
  • Yudith Cardinale, Universidad Simon Bolivar, Venezuela
  • Lom Messan Hillah, Paris Nanterre University, and LIP6, UPMC, France
  • Leocadio G. Casado, Almería University, Espagne
  • Karima Benatchba, École Nationale Supérieure d'Informatique, Algeria
  • Marta Rukoz, Paris Nanterre University, and LAMSADE, Paris Dauphine University, France
  • Rabah Mazouzi, Umanis, France
  • Koudil Mouloud, École Nationale Supérieure d'Informatique, Algeria
  • Sana Ben Hamida, Paris Nanterre University, and LAMSADE, Paris Dauphine University, France
  • Sonia Guehis, Paris Nanterre University, and LAMSADE, Paris Dauphine University, France
  • Amir Nakib, Paris Est University, France

Contact

General Workshop Chair

Dr. Tarek Menouer

E-mail: tmenouer@umanis.com


2019 Workshop on High Performance Big Data Computing