[hpc-announce] CFP for JPDC Special Issue on Parallel Optimization using/for Multi and Many-core High Performance Computing

imen chakroun chakroun.imen at gmail.com
Mon Jul 11 03:36:32 CDT 2016

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




Nouredine Melab, Université Lille 1, Inria Lille - Nord Europe, CNRS CRIStAL
Albert Y. Zomaya, The University of Sydney, Australia
Imen Chakroun, Exascience Life Lab, IMEC Research Center, Leuven, Belgium


On the road to exascale, multi-core processors and many-core
accelerators/coprocessors are increasingly becoming key-building blocks of
many computing platforms including laptops, high performance workstations,
clusters, grids, and clouds. On the other hand, plenty of hard problems in
a wide range of areas including engineering design, telecommunications,
logistics and transportation, biology, energy, etc., are often modeled and
tackled using optimization approaches. These approaches include greedy
algorithms, exact methods (dynamic programming, Branch-and-X, constraint
programming, A*, etc.) and meta-heuristics (evolutionary algorithms,
particle swarm, ant or bee colonies, simulated annealing, Tabu search,
etc.). In many research works, optimization techniques are used to address
high performance computing (HPC) issues including HPC hardware design,
compiling, scheduling, auto-tuning, etc. On the other hand, optimization
problems become increasingly large and complex, forcing the use of parallel
computing for their efficient and effective resolution. The design and
implementation of parallel optimization methods raise several issues such
as load balancing, data locality and placement, fault tolerance,
scalability, thread divergence, etc.

This special issue seeks to provide an opportunity for the researchers to
present their original contributions on the joint use of advanced (discrete
or continuous, single or multi-objective, static or dynamic, deterministic
or stochastic, hybrid) optimization methods and distributed and/or parallel
multi/many-core computing, and any related issues.

The special issue topics include (but are not limited to) the following:
- Parallel models (island, master-worker, multi-start, etc.) for
optimization methods revisited for multi-core and/or many-core (MMC)
- Parallelization techniques and advanced data structures for exact (e.g.
tree-based) optimization methods.
- Parallel mechanisms for hybridization of optimization algorithms on MMC
- Parallel strategies for handling uncertainty, robustness and dynamic
nature of optimization methods.
- Implementation issues of parallel optimization methods on MMC
workstations, MMC clusters, MMC grids/clouds, etc.
- Software frameworks for the design and implementation of parallel and/or
distributed MMC optimization algorithms.
- Computational/theoretical studies reporting results on solving
challenging problems using MMC computing.
- Energy- and thermal-aware optimization for/with MMC parallel and/or
distributed optimization methods.
- Optimization techniques for efficient hardware design of MMC environments.
- Optimization techniques for scheduling, compiling, auto-tuning for MMC
clusters, MMC grids/clouds, etc.


The first step of the submission process is to send a one-page abstract
including a title, a list of authors and their affiliations and emails. It
should be indicated the intent to submit to this special issue either a new
manuscript or a significantly extended version of a previously
published/presented paper. The authors are invited to submit their abstract
as an email attachment to the Special Issue Guest Editors.

In the second step of the submission process, only manuscripts of approved
abstracts will be considered. The submitted manuscripts must not have been
published or simultaneously submitted elsewhere. For the submitted extended
papers, an extension of at least 30% beyond that in the published
proceedings is expected. Each submitted paper (extended or not) will
receive thorough reviews and evaluation. Papers will be selected based
mainly on their originality, scientific and technical quality of the
contributions, organization and presentation and relevance to the special

All manuscripts submission and review will be handled by Elsevier Editorial
System http://ees.elsevier.com/jpdc.  All papers should be prepared
according to JPDC Guide for Authors.  Manuscripts should be no longer than
35 double-spaced pages without the title page, abstract, or references.  It
is strongly recommended to the authors to select SI: POMCO 2016 when they
reach the "Article Type" step in the submission process.

For further questions or inquiries, please contact the Guest Editors.

*IMPORTANT DATES (Subject to change)*

Abstract Submission: ------------------------------------ July 31, 2016
Paper Submission: ---------------------------------------- August 21, 2016
Notification and Reviewers Comments: ----------- October 23, 2016
Revision Submission: ------------------------------------- November 27, 2016
Notification and Reviewers Comments: ------------ January 29, 2017
Revision Submission: ------------------------------------- February 26,
Revised Final Manuscript: ------------------------------ March 26, 2017

Accepted papers are expected to appear in the 2nd half of 2017 (Tentative).

*GUEST EDITORS (Contact information)*

Nouredine Melab
Université Lille 1/INRIA Lille - Nord Europe/CNRS CRIStAL
Lille, France
Phone: +33 3 59 57 78 86
Email: nouredine.melab at univ-lille1.fr

Albert Y. Zomaya
The University of Sydney
Sydney, Australia
Phone: +61-2-9351 6442
Email: albert.zomaya at sydney.edu.au

Imen Chakroun
Exascience Life Lab, IMEC Research Center
Leuven, Belgium
Phone: +32 16 28 81 89
Email: imen.chakroun at imec.be




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