Multiscale Applications on European e-Infrastructures

Today scientists and engineers are commonly faced with the challenge of modelling, predicting and controlling multiscale systems which cross scientific disciplines and where several processes acting at different scales coexist and interact. Such multidisciplinary multiscale models, when simulated in three dimensions, require large scale or even extreme scale computing capabilities. Progress in science and technology is limited by our ability to solve efficiently such problems on available distributed computing infrastructures. The MAPPER project will respond to this critical need by developing computational strategies, software and services for distributed multiscale simulations across disciplines, exploiting existing and evolving European e-Infrastructure. Driven by seven challenging applications from five representative scientific domains (fusion, clinical decision making, systems biology, nano science, engineering), MAPPER will deploy a computational science environment for distributed multiscale computing on and across European e-infrastructures. By taking advantage of existing software and services, as delivered by EU and national projects, MAPPER will result in high quality components for today's e-Infrastructures. We will advance the state-of-the-art in high performance computing on European e-Infrastructures by enabling distributed execution of multiscale models. We will develop tools, software and services that allow two modes (loosely - and tightly coupled) of multiscale computing, in a user friendly and transparent way. We will integrate our applications into the MAPPER environment, and we will demonstrate their enhanced capabilities by answering one challenging scientific question related to each application. We plan to collaborate with other projects on adaptation of successful MAPPER methodologies, and will work with resource providers to develop policies facilitating the new multiscale computing paradigms.

The MAPPER Factsheet is available from here.

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MAPPER at the International Supercomputing Conference (ISC) 2011

During the ISC'11 conference MAPPER has organized a joint meeting with both PRACE and EGI project representatives working together under the MAPPER Task Force. The main aim of the Task Force, established after a series of meetings over the last three months, is to enable a closer collaboration among resource providers and multi-scale application communities at the European level. Another goal is to support the execution and management of multi-scale distributed applications on example production sites. Two distributed multi-scale application scenarios have been selected as pilot jobs for the first MAPPER review, 24th November 2011. MAPPER applications will take advantage of the simultaneous access, advance reservation and co-allocation of computing resources offered by SARA (PRACE), PSNC (PL-Grid/EGI), Cyfronet (PL-Grid/EGI), LRZ (PRACE/EGI) and UCL (NGS).

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Calendar Calendar

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Tools for Program Development and Analysis in Computational Science @ ICCS

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6/4/12
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None
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All Day: All Day (Time Zone Sensitive)
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Anniversary

The use of supercomputing technology, parallel and distributed processing, and sophisticated algorithms is of major importance for computational scientists. Yet, the scientists' goals are to solve their challenging scientific problems, not the software engineering tasks associated with it. For that reason, computational science and engineering must be able to rely on dedicated support from program development and analysis tools. The primary intention of this workshop is to bring together developers of tools for scientific computing and their potential users. Paper submissions by both tool developers and users from the scientific and engineering community are encouraged in order to inspire communication between both groups. Tool developers can present to users how their tools support scientists and engineers during program development and analysis. Tool users are invited to report their experiences employing such tools, especially highlighting the benefits and the improvements possible by doing so. http://www.lrz.de/iccs2012

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Tools for Program Development and Analysis in Computational Science @ ICCS

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