[hpc-announce] CFP: Nature's Inspired Parallel Collaborative Systems Track, INCoS-2016

[Gabriel Luque]

** Apologies for multiple postings **

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***                                     CALL FOR 
PAPERS                                       ***
*** INTERNATIONAL CONFERENCE ON INTELLIGENT NETWORKING AND COLLABORATIVE 
SYSTEMS (INCoS-2016) ***
***                  Nature's Inspired Parallel Collaborative Systems 
Track                   ***
***                       September 7-9, 2016, Ostrava, Czech 
Republic                        ***
*** http://voyager.ce.fit.ac.jp/conf/incos/2016/ ***
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Track Description:

During these last twenty years modern research has expanded to address 
more and more complex problems, with regards to their dimensionality, 
restrictions, computing power required, etc. In particular, those coming 
from real-world scenarios are getting both larger in size and harder in 
complexity. With high demands of accuracy (and robustness) in the 
solutions and needing the shortest possible computational time, these 
problems face researchers to new challenges which are hard to solve with 
traditional techniques and computers. One way to efficiently produce 
results derived from processing huge amounts of data is the use of 
parallel algorithms, hardware, and specialized techniques. The technical 
evolution of parallel architectures (symmetric multiprocessors, 
multi/many-cores, GPUs, clouds, etc.), is offering more and more 
opportunities for designing efficient algorithms in many research fields.

This track in INCoS aims at fostering the cross-fertilization of 
knowledge between Nature's inspired techniques, or metaheuristics in 
general, and parallel computing. Working in two domains of research is 
at the same time difficult and fruitful. Knowledge about parallel 
computing helps in creating parallel algorithms for clusters, grids of 
computers or GPU architectures. However, this also implies the need for 
a careful definition of proper benchmarks, software tools, and metrics 
to measure the behavior of algorithms in a meaningful way. In concrete, 
a conceptual separation between physical parallelism and decentralized 
algorithms (whether implemented in parallel or not) is needed to better 
analyze the resulting algorithms.

Scope:

This track includes (but is not limited to) topics concerning the 
design, implementation, and application of parallel evolutionary 
algorithms, as well as metaheuristics and agents in general: ACO, PSO, 
VNS, SS, SA, EDAs, TS, ES, GP, GRASP… As an indication, contributions 
are welcomed in the following areas:

* Parallel evolutionary algorithms
* Parallel metaheuristics
* Parallel hybrid/memetic algorithms
* Parallel multiobjective optimization algorithms
* Parallel algorithms and dynamic optimization problems (DOP)

* Master/slave models
* Massively parallel algorithms
* GPU computing
* SIMD/MIMD and FPGA parallelization
* Distributed and shared-memory parallel algorithms
* Multicore execution of parallel algorithms
* Concurrent algorithms with several threads of execution
* Algorithms running in clusters of machines
* Grid computing
* Peer to peer (P2P) algorithms

* Competitive/cooperative parallel algorithms and agents
* Ad-hoc and mobile networks for parallel algorithms
* Algorithms and tools for helping in designing new parallel algorithms
* Parallel software frameworks/libraries
* Parallel test benchmarks
* Statistical assessment of performance for parallel algorithms

* Unified view of parallel approaches and results
* Theory on decentralized and parallel algorithms
* Real-world applications in:
* telecommunications
* bioinformatics
* signal and image processing
* manufacturing
* engineering
* ...


All accepted papers will appear in the proceedings of INCoS 2015, which 
will be published by IEEE CPS.

Important Dates:

Submission Deadline: April 25, 2016 (a flexible deadline is expected)
Notification of Acceptance: May 25, 2016
Camera-Ready Submission: June 10, 2016
Registration: June 8, 2016
Workshop and INCoS Main Conference: September 7 - 9, 2016

Track Chairs:

Enrique Alba, eat at lcc.uma.es
Gabriel Luque, gabriel at lcc.uma.es


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