[hpc-announce] The Second International Workshop on Parallel and Distributed Data Mining (WPDM 2018)

[Massimo CAFARO]

The Second International Workshop on Parallel and Distributed Data Mining (WPDM 2018)
http://sara.unisalento.it/~cafaro/WPDM2018/

CALL FOR PAPERS

As part of The 18th International Conference on Computational Science and Its Applications (ICCSA 2018), http://www.iccsa.org

July 2 - 5 2018, Melbourne, Australia 


Submission Deadline: March 8, 2018


SPECIAL ISSUE

Selected extended versions of workshop papers will be invited to a Special Issue to appear in the Algorithms journal (see http://www.mdpi.com/journal/algorithms/special_issues/Parallel_Distributed_Data_Mining)



SCOPE AND OBJECTIVES

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:

- Parallel data mining algorithms using MPI and/or OpenMP
- Parallel data mining algorithms targeting GPUs and many-cores accelerators
- Parallel data mining applications exploiting FPGA
- Distributed data mining algorithms
- 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
- Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing for data mining



INSTRUCTIONS FOR PAPER SUBMISSIONS 

You are invited to submit original and unpublished research works on above topics. Submitted papers must not have been published or simultaneously submitted elsewhere. The submitted paper must be between 10 to 16 pages long and formatted according to the Springer LNCS (Lecture Notes in Computer Science) rules, Guidelines and templates can be found at the url http://www.springer.com/it/computer-science/lncs/conference-proceedings-guidelines 

To submit a paper, please connect to the Submission site from the link available at the ICCSA 2018 web site: http://ess.iccsa.org. 
Only papers submitted through the electronic system and strictly adhering to the relevant format will be considered for reviewing and publication. Please pay attention, when submitting your contribution to the workshop, to select the right entry in the listbox shown in the submission form.



CONFERENCE POLICY

By submitting the paper to ICCSA conference, all authors agree to abide by all ICCSA conference paper submission, publication and presentation policies. Namely, authors confirm that the work is original, has not appeared in literature in any form in the past and will not be submitted to any other venue concurrently with ICCSA submission or until it appears in ICCSA proceedings (in the case of acceptance). Furthermore, upon paper acceptance, authors agree to transfer copyright on the accepted paper to ICCSA, and one of the authors will register the paper and present the paper at the event. No paper withdrawals can be accepted after Conference pre-registration date or within three months of the actual event, whichever date comes first. Paper withdrawal request can be only accepted in writing through email, letter or fax to conference organizers. The conference has no responsibility for any intentional or accidental misuse, misinterpretation, or failure to follow above rules and conditions and holds no legal, civil or other responsibility for opinions, content or utilization of any methods/algorithms expressed in the Conference Proceedings. 

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





IMPORTANT DATES

March 8, 2018: Deadline for paper submission 
April 8, 2018: Notification of Acceptance. 
May 6, 2018: Early-bird Registration ends. 
May 6, 2018: Submission deadline for the final version of the Papers 
July 2-5, 2018: ICCSA 2018 Conference


WORKSHOP ORGANIZERS

Massimo Cafaro
   University of Salento, Italy
   Phone: +39 0832 297371 
   Fax:     +39 0832 297235 
   Email:   massimo.cafaro at unisalento.it

Italo Epicoco
   University of Salento, Italy
   Phone: +39 0832 297235 
   Fax:     +39 0832 297235
   Email:   italo.epicoco at unisalento.it

Marco Pulimeno
University of Salento, Italy
   Phone: +39 0832 297371 
   Fax:     +39 0832 297235 
   Email:   marco.pulimeno at unisalento.it

Giovanni Aloisio
   University of Salento & Euro Mediterranean Center on Climate Change Foundation, Italy
   Phone: +39 334 6501704
   Fax:     +39 0832 297235
   Email:   giovanni.aloisio at unisalento.it


International Program Committee:  

All submitted papers will be reviewed by the workshop technical program committee members.
Program Committee formation is pending and will be finalised shortly. Current TPC members:

Gianfranco Bilardi, University of Padova, Italy
Matteo Ceccarello, University of Padova, Italy
Alfredo Cuzzocrea, University of Trieste and ICAR-CNR, Italy
Giuseppe Di Fatta, University of Reading, UK
Ann Gordon-Ross, University of Florida, USA
Giuliano Laccetti, University of Naples, Italy
Pablo Moscato, University of Newcastle, Australia
Mitsunori Ogihara, University of Miami, USA
Takahiko Shintani, University of Electro-Communications, Japan
Domenico Talia, University of Calabria, Italy
Paolo Trunfio, University of Calabria, Italy
Jeffrey D. Ullman, Stanford University, USA






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 Massimo Cafaro, Ph.D.
 Associate Professor                                                            
 Dept. of Engineering for Innovation            
 University of Salento, Lecce, Italy               
 Via per Monteroni                                                   
 73100 Lecce, Italy					                            
 Voice/Fax  +39 0832 297371 				               
 Web  http://sara.unisalento.it/~cafaro                                                                 
 E-mail massimo.cafaro at unisalento.it
 cafaro at ieee.org
 cafaro at acm.org

 CMCC Foundation
 Euro-Mediterranean Center on Climate Change
 Via Augusto Imperatore, 16 - 73100 Lecce
 massimo.cafaro at cmcc.it

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