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We apologize for multiple copies of this CFP. ************************************************************ ********** The 7th IEEE Workshop on Parallel / Distributed Computing and Optimization (PDCO 2017) 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 ****************************** ****************************** ********** ****************************** ******************** New Submission Deadline: December 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. Steering Committee: =================== Pascal Bouvry, University of Luxembourg, Luxembourg (co-chair) Didier El Baz, team CDA, LAAS-CNRS, France (co-chair) El-Ghazali Talbi, University of Lille, INRIA, CNRS, France Albert Y. Zomaya, The University of Sydney, Australia General Chairs: =============== Grégoire Danoy, University of Luxembourg, Luxembourg Didier El Baz, team CDA, LAAS-CNRS, France Program Chairs: =============== Vincent Boyer, University of Nuevo Leon, Mexico Bernabe Dorronsoro, Universidad de Cádiz, Spain Publicity Chairs: ================= Keqin Li, State University of New York at New Paltz, USA Laurence T. Yang, St Francis Xavier University, Canada Program Committee (to be completed): ============================== ====== A. Bendjoudi, CERIST, Algiers, Algeria J.-N. Cao, Hong-Kong Polytechnic University, China 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 Submission : ============ Proceedings of the workshops are published by IEEE CPS; they are distributed at the conference and 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 December 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. Important Dates: ================ - New Submission Deadline: December 21, 2016 - Notification of acceptance: January 16, 2017 - Camera ready: March 15, 2017 - Workshop: May 29, 2017 Contact: ======== For questions regarding the Workshop, please contact the conference organizers at pdco2017@sciencesconf.org
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