[hpc-announce] CFP for International Workshop on the Synergy between Parallel Computing, Optimization and Simulation (PaCOS 2020) part of HPCS2020

Jan Gmys jan.gmys at inria.fr
Wed Aug 26 05:21:30 CDT 2020


Please accept our apologies if you got multiple copies of this CFP.

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The 4th International Workshop on the Synergy between Parallel 
Computing, Optimization and Simulation (PaCOS 2020)

CALL FOR PAPERS

As part of  The 18th International Conference on High Performance 
Computing & Simulation (HPCS 2020)
http://hpcs2020.cisedu.info   or   http://conf.cisedu.us/rp/hpcs20

December 10 – December 14, 2020
Barcelona, Spain (Online Event)

Submission Deadline: September 21, 2020

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

SCOPE AND OBJECTIVES
Plenty of hard optimization problems in a wide range of areas such as 
health, manufacturing and production, logistics and supply chain 
management, energy, engineering, etc. are increasingly large and complex 
in terms of number of input parameters, decision variables, objective 
functions and landscape complexity. These problems are often tackled 
using optimization approaches including greedy algorithms, exact methods 
(dynamic programming, Branch-and-X, constraint programming, A∗, etc.) 
and metaheuristics (evolutionary algorithms, particle swarm, ant or bee 
colonies, simulated annealing, Tabu search, etc.). Solving efficiently 
and effectively large and complex problems requires the joint use of 
these approaches and massively parallel heterogeneous computing.
In addition, for many real-world problems (e.g. in engineering design) 
the evaluation of the objective function(s) often consist(s) of the 
execution of an expensive simulation as a black-box complex system. This 
is for instance typically the case in aerodynamics where a CFD-based 
simulation may require several hours. Optimization algorithms, even if 
combined with parallel computing, fail to solve these simulation-based 
optimization problems. A typical approach to deal with the computational 
burden is to use (instead of exact values) cheaper data-driven 
approximations of the objective function(s) so-called surrogates or 
meta-models. A wide range of surrogates was applied during the last 
decade including: classical regression models such as polynomial 
regression or response surface methodology, support vector machines, 
artificial neural networks (ANN), radial basis functions, and kriging or 
Gaussian process. ANN is probably the most prevalent of them with the 
recent “explosion” of the deep learning popularized thanks to GPGPUs.

The PaCOS Workshop topics include the following:
The PaCOS workshop seeks to provide an opportunity for researchers to 
present their original contributions on the joint use of advanced 
single- or multi-objective optimization methods, simulation and/or its 
data-driven approximation, and distributed and/or parallel 
multi/many-core computing, and any related issues. The PaCOS topics 
include (but are not limited to) the following:
     • Simulation-based optimization.
     • Parallel exact optimization/metaheuristics for solving complex 
problems on multi-core processors, accelerators/co-processors (e.g. 
GPU), clusters, grids/clouds, etc.
     • (Parallel) hybrid algorithms combining optimization and simulation.
     • (Parallel) surrogate-assisted optimization.
     • Implementation issues of methods combining optimization, 
simulation and/or parallel computing.
     • Software frameworks for the design and implementation of 
parallel and/or distributed simulation and/or surrogate-assisted techniques.
     • Simulation-based optimization applications including healthcare, 
manufacturing, logistics, biological applications, advanced big data 
analytics, engineering design, etc.
     • Computational/theoretical studies reporting results on solving 
complex problems using the joint use of parallel computing, optimization 
and simulation.

INSTRUCTIONS FOR PAPER SUBMISSIONS
You are invited to submit original and unpublished research works on 
above and other topics related to synergy between parallel computing, 
optimization and simulation.  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 http://hpcs2020.cisedu.info/1-call-for-papers-and-participation/call-for-posters  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 EasyChair 
paper submission site at https://easychair.org/conferences/?conf=pacos2020.
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 2020 conference to 
present the paper at the workshop.

PROCEEDINGS
Accepted papers will be published in the Conference proceedings. 
Instructions for final manuscript format and requirements will be posted 
on the HPCS 2020 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.
SPECIAL ISSUE
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.

IMPORTANT DATES
Paper Submissions: --------------------------------------------- 
September 21, 2020
Acceptance Notification: --------------------------------------- October 
6, 2020
Camera Ready Papers and Registration Due by: ------------- October 16, 2020
Conference Dates: ---------------------------------------------- 
December 10-14, 2020


WORKSHOP ORGANIZERS

Dr. Gregoire DANOY
    Université du Luxembourg, Luxembourg
    Phone: (+352) 46 66 44 53 06
    Email: gregoire.danoy at uni.lu

Dr. Jan GMYS
    INRIA Lille – Nord Europe
    Lille, France
    Phone: (+33) 3 59 35 86 49
    Email: jan.gmys at inria.fr

Ali Hebbal
    ONERA – The French Aerospace Lab
    Palaiseau, France
    Phone: (+33) 1 80 38 66 06
    Email:  ali.hebbal at onera.fr


International Program Committee*:
All submitted papers will be rigorously reviewed by the symposium 
technical program committee members following similar criteria used in 
HPCS 2020 and will be published as part of the HPCS 2020 Proceedings.

(* IPC 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: http://hpcs2020.cisedu.info  or  http://conf.cisedu.us/rp/hpcs20 or 
contact one of the Conference's organizers.





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