outGRID

-

Documents
2 pages
Obtenez un accès à la bibliothèque pour le consulter en ligne
En savoir plus

Description

Framework Programme 7 (2007-2013) Research infrastructures projets outGRIDoutGRIDSummary: outGRID will be a fi rst step toward a global scien-tifi c grid infrastructure, it will trigger convergence within the neuroscientifi c community and, in the long run, the biomedical research community at large.Project acronym: outGRIDoutGRID builds on the results oContract n : RI-246690of FP7 neuGRID (www.neuGRID.eu) project which is being devel-oped to provide large sets of brain images paired with grid-based Project type: I3computationally intensive algorithms for studies of neurodegenera-Start date: 01/10/2009tive diseases. Two infrastructures with similar aims are operational or under construction overseas. In Canada, the Montreal Neurological Duration: 24 monthsInstitute (MNI) aims to develop a pan-Canadian platform (CBRAIN http://cbrain.mcgill.ca) for exchange and distributed processing of Total budget: 493 440 €3D/4D brain imaging data. In the US, the LONI — Laboratory of Funding from the EC: 439 982 €Neuro Imaging at UCLA (the University of California, Los Angeles — http://www.LONI.ucla.edu) already provides a number of algorithm Total funded eff ort in person-month: 117,6pipelines to perform a wide range of brain image analyses that come with an intelligent and interactive distributed visual programming Web site: www.outGRID.euenvironment.Contact person:Giovanni B.

Informations

Publié par
Nombre de visites sur la page 12
Langue English
Signaler un problème
Framework Programme 7 (2007-2013)Research infrastructures projetsoutGRID
outGRID
Summary:outGRID will be a first step toward a global scien-tific grid infrastructure, it will trigger convergence within the neuroscientific community and, in the long run, the biomedical research community at large.
outGRID builds on the results of FP7 neuGRID (www.neuGRID.eu) project which is being devel-oped to provide large sets of brain images paired with grid-based computationally intensive algorithms for studies of neurodegenera-tive diseases. Two infrastructures with similar aims are operational or under construction overseas. In Canada, the Montreal Neurological Institute (MNI) aims to develop a pan-Canadian platform (CBRAIN http://cbrain.mcgill.ca) for exchange and distributed processing of 3D/4D brain imaging data. In the US, the LONI — Laboratory of Neuro Imaging at UCLA (the University of California, Los Angeles — http://www.LONI.ucla.edu) already provides a number of algorithm pipelines to perform a wide range of brain image analyses that come with an intelligent and interactive distributed visual programming environment.
ese three complementary neuroscience initiatives could converge to one unique worldwide facility, given the following enablers: (i) the databasing soſtware of neuGRID is the same as CBRAIN’s, (ii) an ultra broad band connection links Europe to Canada (GTRN), and (iii) both platforms are under construction, thus providing latitude for chan-nelling towards interoperability. Interoperability of neuGRID with LONI is facilitated by (i) the data-base structure of neuGRID being the same of LONI, i.e. that of the North American Alzheimer’s Disease Neuroimaging Initiative (ADNI), (ii) an ultra broad band connection links Europe to US (GTRN) and (iii) neuGRID may adopt LONI’s workflow authoring system for algo-rithm pipelining.
outGRID will organize workshops in Europe, Canada, and the US to promote the exchange of technical information, direct the develop-ment of the infrastructures towards interoperability.
Project acronym:outGRID
o Contract n :RI-246690
Project type:I3
Start date:01/10/2009
Duration:24 months
Total budget:493 440 €
Funding from the EC:439 982 €
Total funded effort in person-month:117,6
Web site:www.outGRID.eu
Contact person: Giovanni B. Frisoni email: gfrisoni@fatebenefratelli.it tel.: +39 030 35 31 261 fax.: +39 030 3501313
Project participants: IRCCS-FBF IT MAAT FR HEALTHGRID FR MNI CA University of California, Los AngelesUS KCL UK
Keywords: e-Infrastructures, computational neuroscience, Grid computing, EGEE gLite, GEANT, SOA
Collaboration with other EC funded projects: neuGRID Health-e-Child
continued overleaf