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May 2006
Business cases
• Air Berlin(Germany)
• CNAMTS (France)
  • ONERA (France)
Basis Bay (Malaysian - OEM)
ONERA chooses Bull supercomputers to enhance its computing power and speed up its scientific research

The French national aerospace research agency will in particular use the power of Bull’s NovaScale® servers to enhance the precision of its computer simulation models, speed up its digital simulation processes and adapt to use massively parallel computing power.

ONERA (the Office National d’Etudes et de Recherches Aérospatiales – National Office for Aerospace Studies and Research) is extending its computing resources with an order for a Bull supercomputer delivering some 1.43 TeraFlops of processing power. ONERA is a major research establishment in Europe dedicated to the aeronautical and space sector. This order is the first phase in a project that includes two optional parts, over the life of which the supercomputer will be enhanced to eventually deliver some 6.14 TeraFlops of power.

In this initial phase, the supercomputer designed by Bull will form a 14-node NovaScale® cluster, with each node consisting of 16 Intel® Itanium® 2 processors and 64 GB of central memory: making a total of 224 processors. The NovaScale servers will be connected by an ultra high performance Quadrics network and a Bull StoreWay data storage system, integrating the Data Direct Networks systems.

Operated using Bull’s own HPC (High-Performance Computing) software platform – based around the Linux® operating system – the servers are designed to deliver part of the computing power needed by ONERA’s entire scientific community, in order to enhance the agency’s research capabilities in a number of areas, including:

  • Enhancing the precision digital simulation modeling, thanks to the increased refinement of the physical models being implemented and increasingly accurate results
  • Speeding up the digital simulation processes across a vast range of applications, enabling research teams to test and validate new models and methods more rapidly
  • Accelerating the adaptation to massively parallel computing resources.


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