[hpc-announce] CFP: IEEE Workshop on Parallel / Distributed Computing and Optimization (PDCO 2017) in conjunction with IEEE IPDPS 2017 Orlando USA

[Didier Elbaz]

Please, accept our apologies in case of multiple copies of this CFP.


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        The 7th IEEE Workshop on Parallel / Distributed
           Computing and Optimization (PDCO 2017)
                                  (PDCO’17)
https://pdco2017.sciencesconf.org <https://pdco2017.sciencesconf.org/>

                       held in conjunction with
                       The 31st IEEE International
Parallel and Distributed Processing Symposium  (IPDPS’2017)
                              May 29-June 2, 2017

                             Orlando, Florida, USA
http://www.ipdps.org <http://www.ipdps.org/>
**********************************************************************

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Submission Deadline: November 21, 2016
**************************************************


PDCO 2017, Orlando USA, is the result of the merge of the Parallel 
Computing and Optimization (PCO) and the Nature Inspired Distributed 
Computing (NIDISC) workshops that have been held in conjunction with the 
IEEE International Parallel and Distributed Processing Symposium for the 
past years.


Scope:
======
The IEEE Workshop on Parallel / Distributed Computing and Optimization 
aims at providing a forum for scientific researchers and engineers on 
recent advances in the field of parallel or distributed computing for 
difficult optimization problems, ranging from theoretical to applied 
problems.
The latter include 0-1 multidimensional knapsack problems and cutting 
stock problems, large scale linear programming problems, nonlinear 
optimization problems and global optimization problems. Emphasis will be 
placed on new techniques for solving these difficult problems, like 
cooperative methods for integer programming problems, nature-inspired 
techniques and hybrid methods. Aspects related to Combinatorial 
Scientific Computing (CSC) will also be treated. We also solicit 
submissions of original manuscripts on sparse matrix computations and 
related topics (including graph algorithms); and related methods and 
tools for their efficiency on different parallel systems. The use of new 
approaches in parallel and distributed computing like GPU, MIC, cloud 
computing, volunteer computing will be considered. Applications 
combining traditional parallel and distributed computing and 
optimization techniques as well as theoretical issues (convergence, 
complexity, etc.) are welcome. Application domains of interest include 
(but are not limited to) cloud computing, planning, logistics, 
manufacturing, finance, telecommunications and computational biology.


Topics:
=======
* Integer programming, linear programming, nonlinear programming;
* Global optimization, polynomial optimization;
* Exact methods, heuristics, metaheuristics, hybrid methods;
* Cooperative methods, hybrid methods;
* Parallel / distributed algorithms for combinatorial optimization;
* Parallel / distributed  metaheuristics;
* Distributed optimization algorithms;
* Nature inspired distributed computing;
* Parallel sparse matrix computations, graph algorithms, load balancing;
* Peer to peer computing and optimization problems;
* Applications: cloud computing, planning, logistics, manufacturing, 
finance, telecommunications, computational biology, combinatorial 
algorithms in high performance computing.


Important Dates:
================
- Submission Deadline: November 21, 2016
- Notification of acceptance: January 16, 2017
- Camera ready: March 15, 2017
- Workshop: May 29, 2017


Submission details :
================
Proceedings of the workshops are published by IEEE CPS; they are 
submitted for inclusion in the IEEE Xplore Digital Library after the 
conference.

Prospective authors should submit their papers through Workshop PDCO 
2017 submission system: i.e. EasyChair:

https://easychair.org/conferences/?conf=pdco2017

Abstract and paper can be uploaded until November 21, 2016. Authors 
should preferably follow the manuscript specifications of IEEE IPDPS, 
i.e. submitted manuscripts may not exceed 10 single-spaced double-column 
pages using 10-point size font on 8.5x11 inch pages (IEEE conference 
style), including figures, tables and references. Style templates are 
available at the IPDPS web site.


General Chairs:
===============
Didier El Baz, team CDA, LAAS-CNRS, France
Vincent Boyer, University of Nuevo Leon, Mexico
El-Ghazali Talbi, University of Lille, INRIA, CNRS, France
Albert Y. Zomaya, The University of Sydney, Australia
Grégoire Danoy, University of Luxembourg, Luxembourg


Publicity Chairs:
=================
Laurence T. Yang, St Francis Xavier University, Canada
Keqin Li, State University of New York at New Paltz, USA


Program Committee (to be completed):
====================================
A. Bendjoudi, CERIST, Algiers, Algeria
J.-N. Cao, Hong-Kong Polytechnic University, China
B. Dorronsoro, Universidad de Cádiz, Spain
J. J. Durillo, University of Innsbruck, Austria
S. Fujita, Hiroshima University, Japan
M. Halappanavar, Pacific Northwest National Laboratory, USA
K. Li, State University of New York, USA
N. Melab, University of Lille, France
M. Menai, King Saud University, Saudi Arabia
A. Nakib, University Paris 12, France
S. Nesmachnow, Universidad de la República, Uruguay
S. Nikoletseas, University of Patras and CTI, Greece
C. Phillips, Sandia National Laboratories, USA
T. Saadi, University of Picardie, France
M. Seredynski, Luxembourg Institute of Science and Technology, Luxembourg
G. Ch. Sirakoulis, Democritus University of Thrace, Greece
G. Spezzano, University of Calabria, Italy
A. Tchernykh, CICESE Research Center, Mexico
B. Ucar, CNRS and ENS Lyon, France
F. Xhafa, Polytechnic University of Catalonia, Spain
L.T. Yang, St Francis Xavier University, Canada


Contact:
========
For questions regarding the Workshop, please contact the conference 
organizers at pdco2017 at sciencesconf.org <mailto:pdco2017 at sciencesconf.org>

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