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Content archived on 2024-05-14

Danish HPCN technology transfer node

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

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Modern breeding programs for species of economic and agricultural significance require estimates of breeding values for several traits per individual. Today's method of choice for estimation of breeding values for continuous traits is Best Linear Unbiased Prediction (BLUP) with an Animal Model as the operational model. This leads to the need to solve large systems of linear equations with at least as many unknowns as the number of individuals multiplied by the number of traits. For large populations and many traits, setting up and solving the equation systems exceed the capacity of a single workstation at least within a reasonable time frame. In species like cattle and pigs, data are recorded continuously and selection decisions, based on all available data, have to be made throughout the year, so updated (weekly or monthly) estimates are required. One way to overcome this computational challenge is to utilize parallel computation. The CEBUS project will develop a parallel solver for multivariate mixed models. The partners will adapt and use this software on a specific large and commercially significant example. This example will be used to demonstrate the benefits of an HPCN approach to animal breeding. Another result will be a new module in the DMU-software package, developed at DIAS. The DMU-packages are currently used in many countries for analysing animal breeding data. The resulting software package and its use on high-performance parallel systems will have significant benefit to the European livestock industry. Project URL: http://industry.ebi.ac.uk/BioTitan/activities/cebus/cebus.html
The Danish Eulerian Model is an advanced tool for studying air pollution levels in Europe over an extended period (10 or even more years) as well as relationships between emissions and related concentrations or depositions. The model can also be applied to study pollution phenomena in any part of Europe in detail. The primary goal is to make it possible to use the model in efforts to create awareness in both the public and industrial sectors on cost-benefit priorities and on the environmental impact of different planning options related to sustainable development. The demonstration activity shows that the Danish Eulerian Model can be used to obtain valuable information which can be used in efforts to resolve different environmental problems in Europe as a whole as well as in parts of Europe. The following issues were stressed during the demonstration: -The determination of the actual pollution levels in different parts of Europe and their relation to the acceptable legislative levels. -The illustration of diurnal, monthly and seasonal variations of dangerous pollutants. -The performance of a series of scenarios with different emissions in order to estimate the relationships between the emissions and the corresponding concentrations or depositions. -The investigation of long term trends in air pollution changes (10 and more years). The results can be used in periods where critical air pollution levels are exceeded. According to EU directives, the public should be informed/warned when different critical levels are exceeded. The results can be used by the authorities, in connection with (i) episodes of high air pollution levels, to decide e.g. to restrict private transportation and (ii) in the long term where the relationship between the emissions and the related concentrations and depositions can be studied, in order to find the optimal solution for general emission reductions (cost/benefit). Air pollution forecasts can be given e.g. by television in connection with the daily weather forecast. The advantages are fast and reliable computations by using a well tested and documented air pollution model on high performance computers so that (i) air pollution forecasts can be provided fast and (ii) the model can be run over many years for emission reduction scenario studies. Project URL: http://www.dmu.dk/AtmosphericEnvironment/EUROAIR/index.htm

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