The First International Workshop on Parallel and Distributed Data Mining
(WPDM 2017)


As part of The International Conference on High Performance Computing & Simulation (HPCS 2017)

July 17 – July 21, 2017
Genoa, Italy  

Submission Deadline: April 03, 2017 - Extended

Submissions could be for full papers, short papers, poster papers, or posters


The Workshop on Parallel and Distributed Data Mining is an international forum which brings together researchers and practitioners working on different high-performance aspects of data mining algorithms, enabling novel applications. 

Data mining techniques and algorithms to process huge amount of data in order to extract useful and interesting information have become popular in many different contexts. Algorithms are required to make sense of data automatically and in efficient ways. Nonetheless, even though sequential computer systems performance is improving, they are not suitable to keep up with the increase in the demand for data mining applications and the data size. Moreover, the main memory of sequential systems may not be enough to hold all the data related to current applications. 

Therefore, there is an increasing interest in the design and implementation of parallel data mining algorithms. On parallel computers, by exploiting the vast aggregate main memory and processing power of processors and accelerators, parallel algorithms can easily address both the running time and memory requirement issues. Anyway, parallelizing existing algorithms in order to achieve good performance and scalability with regard to massive datasets is not trivial. Indeed, it is of paramount importance a good data organization and decomposition strategy in order to balance the workload while minimizing data dependences. Another concern is related to minimizing synchronization and communication overhead. Finally, I/O costs should be minimized as well. 

The Workshop will allow exchanging ideas and results related to on-going research, focusing on high-performance aspects of data mining algorithms and applications. 

Creating breakthrough parallel algorithms for high-performance data mining applications requires addressing several key computing problems which may lead to novel solutions and new insights in interdisciplinary applications. The focus of the workshop is on all forms of advances in high-performance data mining algorithms and applications, and related topics.

The WPDM Workshop topics include (but are not limited to) the following:

  • Scalable message-passing parallel data mining algorithms using MPI
  • Scalable shared-memory parallel data mining algorithms using OpenMP
  • Scalable hybrid MPI + OpenMP parallel data mining algorithms
  • Parallel data mining algorithms targeting GPUs and many-cores accelerators
  • Exploiting modern parallel architectures including FPGA for parallel data mining applications
  • Middleware for high-performance data mining on grid and cloud environments
  • Benchmarking and performance studies of high-performance data mining applications
  • Novel programming paradigms to support high-performance computing for data mining
  • Performance models for high-performance data mining applications and middleware
  • Programming models, tools, and environments for high-performance computing in data mining
  • Map-reduce based parallel data mining algorithms
  • Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing for data mining


You are invited to submit original and unpublished research works on above and other topics related to high performance parallel and distributed data mining.  Submitted papers must not have been published or simultaneously submitted elsewhere. For Regular papers, please submit a PDF copy of your full manuscript, not to exceed 8 double-column formatted pages per template, and include up to 6 keywords and an abstract of no more than 400 words. Additional pages will be charged additional fee. Submission should include a cover page with authors' names, affiliation addresses, fax numbers, phone numbers, and all authors email addresses. Please, indicate clearly the corresponding author(s) although all authors are equally responsible for the manuscript. Short papers (up to 4 pages), poster papers and posters (please refer to  for posters submission details) will also be considered. Please specify the type of submission you have. Please include page numbers on all preliminary submissions to make it easier for reviewers to provide helpful comments. 

Submit a PDF copy of your full manuscript to the workshop paper submission site at  Acknowledgement will be sent within 48 hours of submission. 

Only PDF files will be accepted, uploaded to the submission link above.  Each paper will receive a minimum of three reviews.  Papers will be selected based on their originality, relevance, significance, technical clarity and presentation, language, and references.  Submission implies the willingness of at least one of the authors to register and present the paper, if accepted.  At least one of the authors of each accepted paper will have to register and attend the HPCS 2017 conference to present the paper at the workshop. 

Accepted papers will be published in the Conference proceedings. Instructions for final manuscript format and requirements will be posted on the HPCS 2017 Conference web site. It is our intent to have the proceedings formally published in hard and soft copies and be available at the time of the conference. The proceedings is projected to be included in the IEEE or ACM Digital Library and indexed in all major indexing services accordingly. 

Plans are underway to have the best papers, in extended version, selected for possible publication in a journal as special issue. Detailed information will soon be announced and will be made available on the conference website. 

If you have any questions about paper submission or the workshop, please contact the workshop organizers. 

Paper Submissions: -------------------------------------------  April 03, 2017 - Extended
Acceptance Notification: -------------------------------------- April 21, 2017
Camera Ready Papers and Registration Due by: ----------- May 11, 2017
Conference Dates:  -------------------------------------------- July 17 – 21, 2017


Massimo Cafaro
   University of Salento, Italy
   Phone: +39 08 32 29 73 71
   Fax:     +39 08 32 29 72 35 

Italo Epicoco
   University of Salento, Italy
   Phone: +39 347 719 8440 
   Fax:     +39 08 32 29 72 35

Marco Pulimeno
University of Salento, Italy
   Phone: +39 08 32 29 73 71
   Fax:     +39 08 32 29 72 35 

Giovanni Aloisio
   University of Salento & Euro Mediterranean Center on Climate Change 
Foundation, Italy
   Phone: +39 334 650 1704
   Fax:     +39 08 32 29 72 35

International Program Committee*:  
All submitted papers will be rigorously reviewed by the workshop technical program committee members following similar criteria used in HPCS 2017 and will be published as part of the HPCS 2017 Proceedings. 
  • Gianfranco Bilardi, University of Padova, Italy
  • Ronald Brightwell, Sandia National Laboratories, USA
  • Matteo Ceccarello, University of Padova, Italy
  • Alfredo Cuzzocrea, University of Trieste and ICAR-CNR, Italy
  • Bronis R. de Supinski, Lawrence Livermore National Laboratory, USA
  • Kenli Li, Hunan University, China
  • Donato Malerba, Università degli Studi di Bari Aldo Moro, Italy
  • Pablo Moscato, University of Newcastle, Australia
  • Domenico Talia, University of Calabria, Italy
  • Paolo Trunfio, University of Calabria, Italy
  • Jeffrey D. Ullman, Stanford University, USA
  • Renato Vimieiro, Universidade Federal de Pernambuco, Brazil
  • Laurence T. Yang, St Francis Xavier University, Canada

(* Committee formation is pending and will be finalized shortly.)

For information or questions about Conference's paper submission, tutorials, posters, workshops, special sessions, exhibits, demos, panels and forums organization, doctoral colloquium, and any other information about the conference location, registration, paper formatting, etc., please consult the Conference’s web site at URL:  or  or contact one of the Conference's organizers.