We present a global overview of the methodology developed within the MAPPER European project to design, implement and run a multiscale simulation on a distributed supercomputing infrastructure. Our goal is to highlight the main steps required when developing an application within this framework. More specifically, we illustrate the proposed approach in the case of hydrology applications. A performance model describing the execution time of the application as a function of its spatial resolution and the hardware performance is proposed. It shows that Distributed Multiscal Computation is beneficial for large scale problems
Data availability at global scale is increasing exponentially. Although considerable challenges rema...
Multiscale computing involves the modelling, characterisation and simulation of complex phenomena on...
Although our everyday life and society now depends heavily oncommunication infrastructures and compu...
We present a global overview of the methodology developed within the MAPPER European project to desi...
AbstractWe present a global overview of the methodology developed within the MAPPER European project...
Today scientists and engineers are commonly faced with the challenge of modelling, predicting and co...
Multiscale models combine knowledge, data, and hypotheses from different scales. Simulating a multis...
Modeling, coding and running large and multi-scale scientific applications require a high level abst...
Multiscale simulations model phenomena across natural scales using monolithic or component-based cod...
This paper proposes a scalable two-level parallelization method for distributed hydrological models ...
We present the results of a unique, parallel scaling study using a 3-D variably saturated flow probl...
Inherently complex problems from many scientific disciplines require a multiscale modeling approach....
Multiscale simulation involving slow transport and fast turbulent timescales is one amongst three ke...
This paper provides an extended overview of recent dvelopments for exploiting distributed, Grid and ...
The understanding of biological processes, e.g. related to cardio-vascular disease and treatment, ca...
Data availability at global scale is increasing exponentially. Although considerable challenges rema...
Multiscale computing involves the modelling, characterisation and simulation of complex phenomena on...
Although our everyday life and society now depends heavily oncommunication infrastructures and compu...
We present a global overview of the methodology developed within the MAPPER European project to desi...
AbstractWe present a global overview of the methodology developed within the MAPPER European project...
Today scientists and engineers are commonly faced with the challenge of modelling, predicting and co...
Multiscale models combine knowledge, data, and hypotheses from different scales. Simulating a multis...
Modeling, coding and running large and multi-scale scientific applications require a high level abst...
Multiscale simulations model phenomena across natural scales using monolithic or component-based cod...
This paper proposes a scalable two-level parallelization method for distributed hydrological models ...
We present the results of a unique, parallel scaling study using a 3-D variably saturated flow probl...
Inherently complex problems from many scientific disciplines require a multiscale modeling approach....
Multiscale simulation involving slow transport and fast turbulent timescales is one amongst three ke...
This paper provides an extended overview of recent dvelopments for exploiting distributed, Grid and ...
The understanding of biological processes, e.g. related to cardio-vascular disease and treatment, ca...
Data availability at global scale is increasing exponentially. Although considerable challenges rema...
Multiscale computing involves the modelling, characterisation and simulation of complex phenomena on...
Although our everyday life and society now depends heavily oncommunication infrastructures and compu...