ACSModPar 2014 - Advances in Complex Systems: Modelling and Parallel Implementation Workshop

Aims and Scope
Computer based modelling and simulation is increasingly being used to study the behaviour of complex systems in different domains, such as physics, chemistry, biology, geology, engineering, medicine, ecology, economics and social science. Also, nowadays models of complex systems are often fundamental components of software tools to support design, planning and decision-making processes in many fields.
In particular, with the current great accessibility of resources in the High-Performance Computing (HPC) field, it is now possible to use more sophisticated and accurate models, more advanced simulation techniques, as well as to develop and implement applications that were previously considered more or less impractical.
For example, the use of HPC allowed us to effectively extend to many real-time modelling applications the dynamic data-driven paradigm, which consists of a simulation system that is continually influenced by a flow of real time data for better analysis and prediction of the modelled system. Another important field of application of HPC models is that of time-critical emergency support (i.e. urgent computing), in which late results would be useless and computer models must be run and the data analyzed during the simulated event. Also, the calibration of models, which typically requires running an elevated (e.g. many thousands) number of simulations, is now facilitated and enhanced by the availability of HPC resources in conjunction with suitable optimization metaheuristics. Furthermore, in many cases the ability to perform in a short time a large number of simulations allows to better understand the behaviour of models and to gain insights on their functioning, thus improving their robustness and reliability, before employing them in operational contexts.
For the reasons stated above, and because of the continuous evolution of hardware and software technologies related to HPC, in the last few years HPC modelling and simulation of complex systems has attracted a growing number of researchers from different disciplines. However, progress in this field still needs research efforts, cross-fertilization between different fields of application and new ideas. To make a contribution in this direction, the ACSModPar workshop aims to bring together modellers, computer scientists and experts to present significant applications, new approaches, cutting edge techniques and results and to discuss research challenges related to the use of HPC to support the modelling and simulation of complex systems.
Topics
The topics of the ACSModPar workshop include but are not limited to:
High-performance computing in complex systems modelling and simulation;
MPI, OpenMP, GPGPU implementation and benchmarking of complex systems models;
Parallel and distributed implementations of:
models based on Multi-agent systems and Cellular Automata;
simulation-driven optimizations through metaheuristics;
complex systems simulations based on the Dynamic Data-Driven approach;
simulation-based decision support tool for complex systems;
Tools based on Complex Systems models and HPC in the field of urgent computing;
Hardware approaches to HPC in modelling and simulation of complex systems
Applications to physics, chemistry, biology, geology, engineering, medicine, ecology, economics and social science;
Venue
The ACSModPar workshop will be held within the 14th International Conference on Computational Science and Applications (ICCSA 2014), on June 30-July 3, 2014, in Guimaraes, Portugal.
Proceedings
Submitted papers will be subject to peer review by three experts and carefully evaluated based on originality, significance, technical soundness, and clarity of exposition. Accepted papers will appear in the ICCSA conference proceedings to be published by Lecture Notes in Computer Science (LNCS) (edited by Springer).