[hpc-announce] CFP - Special Issue of CC-PE on Multi/many-core computing for parallel metaheuristics

Mohand MEZMAZ mohand.mezmaz at gmail.com
Wed Jun 17 06:50:13 CDT 2015

* Concurrency and Computation: Practice and Experience
* Special issue on "Multi/many-core computing for parallel metaheuristics"

Submission deadline: July 13, 2015

Concurrency and Computation: Practice and Experience (CC-PE) journal will
publish a special issue dedicated to "Multi/many-core computing for
parallel metaheuristics". Please submit your contribution to Manuscript
Central (https://mc.manuscriptcentral.com/cpe) as ’McM2015’ special issue

Plenty of hard problems in a wide range of application areas, including
engineering design, telecommunications, logistics, etc. have been modelled
and tackled successfully with metaheuristics (evolutionary algorithms,
scatter or swarm search, simulated annealing, Tabu search, etc.).

Nowadays, optimization problems become increasingly large and complex,
forcing the use of parallel computing for their efficient and effective
resolution. On the other hand, parallel computing has recently undergone a
significant evolution in terms of performance and energy consumption with
the emergence of multi-core and many-core computing technologies (GPU, MIC,
etc.). Indeed, accelerators and coprocessors have powered many parallel
and/or distributed environements including high-performance workstations,
hybrid clusters among them the top ranked Top500 and Green500 ones, and
computational grids and clouds.

The design and implementation of parallel metaheuristics for the above
environments raise several issues related in the same time to the
characteristics of these hardware execution machines and those of the
parallel models of metaheuristics. 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.

- Parallel models (island, master-worker, multi-start, etc.) for
metaheuristics revisited for multi-core and/or many-core (MMC) environments.
- Parallel mechanisms for hybridization of metaheuristics on MMC
- Implementation of parallel metaheuristics on MMC workstations, MMC
clusters, MMC grids/clouds, etc. PICT PICT
- Software frameworks for the design and implementation of parallel and/or
distributed MMC metaheuristics.
- Computational/theoretical studies reporting results on solving
challenging problems using MMC computing.
- Performance metrics for MMC parallel and/or distributed metaheuristics.
- Energy-aware optimization for/with MMC parallel and/or distributed


Submission deadline: July 13, 2015
First round notification (minor/major revision): October 5, 2015
Revision Due: November 2, 2015
Final acceptance notification: December 7, 2015
Publication: First quarter of 2016 (estimated)


Nouredine Melab - Université Lille 1 / INRIA Lille - Nord Europe / CNRS
Mohand Mezmaz - University of Mons
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