Parallel Architectures and Distributed Infrastructures
There is growing interest in running evolutionary computation on Parallel and Distributed Computing Infrastructures. A number of technologies are already available. These include Grid and Cloud Computing, Internet Computing (e.g. seti@home, boinc), General Purpose Computation on Graphics Processing Units (GPGPU), multi-core and many-core architectures and supercomputers. Although they are routinely used for running computing intensive applications, considerable skill is required to get the best from them. The experimenter has to consider scheduling, porting of applications, communication topologies, new parallel models and architectures, cache and memory management optimization, preemptive multitasking and simultaneous multi threading and even energy consumption. Also, the experimenter may need to change their evolutionary algorithm to fully exploit these new tools. At EvoPar scientists and engineers will gather to share and exchange their experiences, discuss challenges, and report state-of-the-art and in-progress research on all aspects of the application of evolutionary algorithms for improving parallel architectures and distributed computing Infrastructures. EvoPAR will assist the two-way flow of ideas between the parallel computing community and the EC community.
Areas of Interest and Contributions
High quality paper submissions which demonstrate novelty in terms of methodology,
application or both, were strongly encouraged. Applications of interest
included (but were not limited to)
- Parallel implementation of evolutionary algorithms.
- Optimisation of Parallel architectures by means of EAs.
- Hardware implementation of EAs, including but not limited to Field Programmable Gate Arrays. GP-GPU optimization.
- Improving Scheduling techniques for P2P and Grid Systems. Improving Scheduling techniques for running distributed EAs.
- Improving Fault tolerance techniques for distributed systems and Distributed EAs capabilities for coping with failures.
- Analytical modelling and performance evaluation of Parallel and Distributed Infrastructures when running EAs.
- Case studies showing the role of Parallel and Distributed Infrastructures in conjunction with Distributed EAs when solving hard real-life problems.
Accepted papers will appear in the proceedings of EvoStar, published in a volume of the Springer Lecture Notes in Computer Science, which will be available at the Conference.Submissions must be original and not published elsewhere. The submissions will be peer reviewed by at least three members of the program committee. The authors of accepted papers will have to improve their paper on the basis of the reviewers comments and will be asked to send a camera ready version of their manuscripts. At least one author of each accepted work has to register for the conference and attend the conference and present the work.The reviewing process will be double-blind, please omit information about the authors in the submitted paper.
Submissions must be original and not published elsewhere. They will be peer reviewed by members of the program committee. The reviewing process will be double-blind, so please omit information about the authors in the submitted paper.
Submit your manuscript in Springer LNCS format.
Please provide up to five keywords in your Abstract
Page limit: 12 pages to http://myreview.csregistry.org/evoapps14/.
Best papers will be invited for a Special Issue to be edited with
Journal of Grid Computing, Springer. (2012 IMPACT FACTOR: 1.602)
1 November 2013 11 November 2013
Notification: 06 January 2014
Camera ready: 01 February 2014
EvoPAR: 23-25 April 2014
Further information on the conference and co-located events can be
found in: http://www.evostar.org
EvoPAR track chairs
- Francisco Fernandez de Vega
University of Extremadura, Spain
- J. Ignacio Hidalgo
Universidad Complutense de Madrid
- Una-May O'Really, MIT, USA.
- Gianluigi Folino L'ICAR-CNR, Cosenza, Italy
- Jose Carlos Ribeiro Politechnique Institute of Leiria, Portugal
- Garnett Wilson Afinin Labs, Inc., Canada
- Malcolm Heywood Dalhousie University, Canada
- Juan L. Jiménez, Université du Luxemburg, Luxemburg.
- William Langdon, University College London, UK.
- Francisco Luna, University of Extremadura, Spain
- Marco Tomassini Lausanne University, Switzerland
- Jose Manuel Colmenar, Universidad Complutense de Madrid, Spain