Modeling and Computing Multiscale Systems, Subtopic: Distributed Computing (MCMS)
Organization: University of Amsterdam
|Event Date/Time: Jun 05, 2013||End Date/Time: Jun 07, 2013|
|Paper Submission Date: Jan 22, 2013|
The modeling and computation of multiphysics and multiscale systems constitutes a grand challenge in computational science, and is widely applied in fields such as astrophysics, chemical engineering, plasma physics, materials science, biomedical science, and aerospace and automotive engineering. Most of the real-life systems encompass interactions within and between a wide range of physical phenomena, each of which may operate on different time and length scales. They require the development of sophisticated numerical models and computational techniques to accurately simulate the diversity and complexity of multiscale and multiphysics problems, and to effectively capture the wide range of relevant physical phenomena within these simulations. Additionally, these multiscale models frequently need large scale computing capabilities as well as dedicated software and services that enable the exploitation of existing and evolving e-infrastructures.
This workshop aims to provide a forum for multiscale application modelers, framework developers and experts from the distributed infrastructure communities to identify and discuss challenges in, and possible solutions for, modeling multiscale systems, as well as their execution on distributed e-infrastructures.
This MCMS workshop is a successor of the successful SMMS series of workshops on Simulations of Multiphysics Multiscale Systems organized by the same chairs over the last 10 years. It has been merged with the workshop on Distributed Multiscale Computing (DMC2011) held by the co-chairs as a response to the necessity of a platform for both, scientific modelers and experts for execution tools and e-infrastructure.
The workshop is organized in conjunction with the International Conference on Computational Science.
Specific topics include (but are not limited to):
* Modeling of multiphysics and/or multiscale systems
* Multiphysics and/or multiscale modeling of biological or biomedical systems
* Novel approaches to combine different models and scales in one problem solution
* Challenging applications in industry and academia
* Advanced numerical methods for solving multiphysics multiscale problems
* Environments and frameworks for simulation of multiscale models
* Cloud-based support for multiscale computing
* e-infrastructure for distributed multiscale computing (computing, storage, networking)
* Dedicated services required for distributed multiscale computing