LARGEFLOWVIS

Large Scale Flow Visualization and Analysis

 Coordinatore TECHNISCHE UNIVERSITAET KAISERSLAUTERN 

 Organization address address: GOTTLIEB-DAIMLER-STRASSE Geb. 47
city: KAISERSLAUTERN
postcode: 67663

contact info
Titolo: Dr.
Nome: Jörg
Cognome: Hansen
Email: send email
Telefono: +49 631 205 50 65
Fax: +49 631 205 4380

 Nazionalità Coordinatore Germany [DE]
 Totale costo 100˙000 €
 EC contributo 100˙000 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2011-CIG
 Funding Scheme MC-CIG
 Anno di inizio 2012
 Periodo (anno-mese-giorno) 2012-04-01   -   2016-03-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    TECHNISCHE UNIVERSITAET KAISERSLAUTERN

 Organization address address: GOTTLIEB-DAIMLER-STRASSE Geb. 47
city: KAISERSLAUTERN
postcode: 67663

contact info
Titolo: Dr.
Nome: Jörg
Cognome: Hansen
Email: send email
Telefono: +49 631 205 50 65
Fax: +49 631 205 4380

DE (KAISERSLAUTERN) coordinator 100˙000.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

vector    algorithms    impact    rely    architectures    data    visualization    interdisciplinary    efficient    scientific    integration    parallel   

 Obiettivo del progetto (Objective)

'Scientific visualization of large-scale vector fields with modern, so-called integration-based methods that rely on the analysis of particle trajectories is not feasible with current methods, since existing algorithms cannot make efficient use of parallel architectures such as clusters and supercomputers. This status leaves researchers in science and industry unable to visualize, analyze and understand the processes described by large vector field data from simulation or measurement. The proposed CIG project aims at developing a novel methodological framework for integration-based visualization that will provide visualization of largest-scale vector fields in current scientific applications. The novel methodology will allow the efficient use of parallel architectures for fast and interactive visualization of very large vector field data sets, which is not possible with current methods. The project’s approaches will combine techniques from scientific visualization, parallel algorithms, applied mathematics, and software design. The resulting increased ability to study large vector fields will strongly impact fundamental scientific research in a large and interdisciplinary setting of scientific and industrial application areas that rely on vector field visualization. This includes research on technologies related to timely problems such as combustion, fusion, and aerodynamics, where technological improvements due to an increased understanding of vector field processes will benefit to the “Resource Efficient Europe” flagship initiative of the Europe 2020 strategy.. The novelty, interdisciplinary nature and expected impact of the proposed research will increase the EU’s excellence, and the applicants teaching activities will train young researchers exposing them to cutting-edge research. Thus, the proposed project leads to knowledge transfer into the ERA, long-term re-integration of a European researcher, and introduction of a promising new research field in Europe.'

Altri progetti dello stesso programma (FP7-PEOPLE)

BOROMAT (2011)

Boronic acids as building blocks for construction of molecular nanostructures and polymeric materials

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DEROGUE WAVES (2012)

Deterministic Forecasting of Rogue Waves in the Ocean

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GEO-HABIT (2012)

Geo-acoustic mapping of benthic habitat distribution

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