The OpenMI Association is pleased to announce the winners of the OpenMI Awards 2011. These awards reward excellence in the use and development of the Open Modelling Interface standard. They focus on the contributions of individuals and groups in furthering the application and evolution of OpenMI. The three winning entries are given below.

1. Efficient Data Access for Open Modeling Interface (OpenMI) Components (Kansas State University)

Data management for linked (or coupled) simulation models can be a challenging task when deploying to grid environments. In cases where the linked models conform to a standard interface for data input and output, generalpurpose data providers can be used to supply data to the models from online sources, reducing the complexity of the deployment. We have developed a data provider component that conforms to the Open Modeling Interface (OpenMI) that is suitable for use on computational grids. Through the application of three techniques, caching, prefetching, and pipelining, the component efficiently retrieves data from standards-based web services and delivers the data to OpenMI-compliant models. Each technique resulted in varying performance improvements both within a single simulation and across multiple simulations concurrently executing on a cluster. In this paper we report on the design of the component and the evaluation of its performance.

 

For more information contact Tom Bulatewicz and Daniel Andresen

The use of OpenMI to support a successful Open Source Community in Hydrological modeling was presented in the Hype Open Source Community Workshop in Stockholm on the 23rd of November 2011.

For more information contact Willy Bauwens, Narayan Shresta, Olkeba Tolessa and Ann van Griensven

 

 

The British Geological Survey (BGS) and Loughborough University have created an OpenMI composition to produce a prototype 'plug and play' Catastrophe (CAT) model for groundwater flooding in the Berkshire Downs. The tools used to produce the composition are available in FluidEarth (www.fluidearth.net). The composition has been produced for the NERC funded PURE (Probability Uncertainty and Risk in the Environment) Experimental Zone project (https://connect.innovateuk.org/web/pure). PURE is jointly funded by NERC (www.nerc.ac.uk), EPSRC (www.epsrc.ac.uk), the Environment Agency of England and Wales (www.environment-agency.gov.uk) and the UK’s Technology Strategy Board (http://www.innovateuk.org/).

For more information contact Katherine Royse and John Hillier