Speaker
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The subject of this talk are the multiscale programming and execution
tools [1,3] developed in the MAPPER project. The MAPPER project responds
to the critical need by developing computational strategies, software and
services for distributed multiscale simulations across disciplines,
exploiting existing and evolving European e-Infrastructure. It is driven
by the computational needs of seven exemplary multiscale problems from a
variety of disciplines including Systems Biology, Fusion, Physiology,
Engineering and nano-Material Science. The presented tools support
composition of multiscale applications from existing single scale
submodules installed on e-infrastructures [2]. After being composed,
such applications are executed. The application structure is described in
Multiscale Modelling Language. The tools include: the application
composition tool called Multiscale Application Designer (MAD), Registry
for application modules description implemented as MAPPER Memory (MaMe)
and GridSpace (GS) Experiment Workbench tools supporting high level stage
of application execution. We will present the current status of the tools
working on the example of multiscale application [3].
[1] K. Rycerz, M. Nowak, P. Pierzchala, E. Ciepiela, D. Harezlak, and M.
Bubak: Comparison of Cloud and Local HPC Approach for MUSCLE-based
multiscale simulations. In Proceedings of The Seventh IEEE International
Conference on e-Science Workshops, Stockholm, Sweden, 5?8 December 2011.
IEEE Computer Society, Washington, DC, USA, 81?88.
[2] K. Rycerz, M. Bubak: Building and Running Collaborative Distributed
Multiscale Applications. In Large-Scale Computing Techniques for Complex
System Simulations Wiley Series on Parallel and Distributed Computing, W.
Dubitzky, K. Kurowski, and B. Schott, Eds. Vol. 1. John Wiley & Sons,
Chapter 6, 111?130, 2012
[3] K. Rycerz et al: An Environment for Programming and Execution of
Multiscale Applications, ACM Transactions on Modeling and Computer
Simulation, in review
