Cineca is a non profit Consortium, made up of 70 Italian universities*, 5 Italian Research Institutions and the Italian Ministry of Education.
Today it is the largest Italian computing centre, one of the most important worldwide. With more seven hundred employees, it operates in the technological transfer sector through high performance scientific computing, the management and development of networks and web based services, and the development of complex information systems for treating large amounts of data.

It develops advanced Information Technology applications and services, acting like a trait-d’union between the academic world, the sphere of pure research and the world of industry and Public Administration.

Web Site: http://www.cineca.it 

HPC for Bioinformatics



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PRACE 13th Call for Project Access: now open


The 13th Call for Proposal for Project Access will be open from 7 March until 1 April 2016, 17:00 CET. Proposals can be based on a 12-months schedule, or, for Multi-year Projects, on a 24- or 36-months schedule. The allocation of awarded resources is made for 1 year at a time with provisional allocations awarded for the 2nd and 3rd year.

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LISA grants 2016: HPC & Bionformatics and Life Science

06/04/2016 14:00 - 17:30

LISA 2016-2018 High Performance Computing supporting research. Special track for Bioinformatics and Life Science.

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Workshop HPC enabling of OpenFOAM® for CFD applications

06/04/2016 - 08/04/2016 09:00 - 18:00

The aim of the workshop is to show the off-the-shelf technologies and methodologies available using the OpenFOAM® suite in an HPC environment. Contributions regarding the following topics are welcomed: parallel benchmark and performance, industrial and academic large scale applications, data intensive I/O applications, co-design of applications integrated with system-ware development, new solvers for massively parallel application, remote and parallel large scale visualization. The workshop is designed to enable the participants to use OpenFOAM® effectively in an HPC enviroment on large scale problems.

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