About MetaCentrum

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Catch-all MetaCentrum Virtual Organization (MetaVO) operates and manages distributed computing infrastructure consisting of computing and storage resources owned by CESNET as well as those of co-operative academic centers within the Czech Republic.

Rules of MetaCentrum using

Activities

• Operation including the development of computational resources, data storage and application programs.
• Research and development in selected areas, particularly the virtualization of resources, monitoring of the Grid - traffic, security, performance and other characteristics monitoring; development of middleware.
• User support
• Security

Resources

MetaCentrum resources are hosted at the following sites:

• CESNET (Praha),
• CERIT-SC (UVT MU)
• FI MU
• Fyzikální ústav AV ČR
• Katedra telekomunikační techniky FEL ČVUT
• Loschmidt Laboratories PřF MU
• NCBR - Národní centrum pro výzkum biomolekul, PřF MU,
• Přírodovědecká fakulta Jihočeské univerzity v Českých Budějovicích,
• West Bohemian supercomputing centre (West Bohemian University Pilsen - ZČU)

Membership

MetaVO membership is free for researchers and students of academic institutions in the Czech Republic, the members of the CESNET association.

• Users annually report us the results of their research carried out using computational resources of MetaCentrum.
• Users are obliged to include the official appreciation formula to theirs publications.

Benefits

• Owners of the computational resources have priority or exclusive access to theirs facilities. At the same time they are getting significant higher computing power for research.
• Common authentication trust domain, this means one login and one password access to all resources involved in MetaCentrum.

Most researchers using MetaCentrum resources are coming from the following areas:

• Computational chemistry
• Material and structural simulation
• Simulation of flow of gases and liquids
• Recognition and speech generation
• Physical Geodesy
• Ecological modeling
• Video processing
• Data Mining
• Analysis of medical images