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Visualization For Extremely Large-Scale Scientific Computing

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WP.2. Data formatting, handling and storage

Lead Beneficiary: 
Institut National De Recherche En Informatique Et En Automatique
Deliverables: 
  • D.2.1. State-of-the-Art of Big Data principles, approaches, methodologies, formats and tools and Specification of required methodologies and tools required for scientific visualization
  • D.2.2. Specification of the Big Data Architecture (M9).
  • D.2.3. HPC cloud infrastructure specification document suitable to the needs of e-Science applications (M12)
  • D.2.4. Design a petabyte sized engineering data solution in the HPC cloud infrastructure (M15)
  • D.2.5. Big data interfaces for data acquisition (M15)
  • D.2.6. Implementations of data conversion algorithms to target format (M18)
  • D.2.7. Target engineering friendly and open standards formatted data stored in the HPC cloud infrastructure (M24)
Name: 
Data formatting, handling and storage
Project Date: 
November 2013 to November 2015

The Research leading to these results has received funding from the European Community's Seventh Framework Programme (FP7/2007-2013)