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Applications

Nowadays high computing availability has a strategic role for both scientific research and industrial applications.

Constructive limits achieved in the last generation processors realization encourage the adoption of parallel systems use to increase computing performances. This is possible at two levels: at CPU level by increasing the number of internal elaboration units (multi-core), at an architectural level assembling computers to each other (clustering).

Compared to traditional supercomputers, clusters are the most diffuse alternative to answer the computing needs of several kind of applications. These architectures provide you a high-potency and high-reliability computing in a flexible, scalable and economical way.

Economy and finance

Portfolio optimisation, risk analysis, financial products analysis, Monte Carlo simulations. For more info

Energy

Oil and gas deposits simulation, seismic data analysis, stochastic analysis. For more info

ICT

High Availability (HA) network services, high traffic services balancing (LB), high performance database, high performance storage, virtualization and server consolidation. For more info

Manufacturing industry

Ended elements analysis, crash test, computing fluid dynamics, electronic design, multiphysics simulations, CAD, CAE, visualization, etc. For more info

Media and entertainment

3D render farm, cine/video production, animation, visualization For more info

Environmental modeling

Meteorological previsions, emission monitoring, air quality prevision, environmental data analysis at local and global level. For more info

Scientific research

Aeronautics, Molecular Biology, Chemical Computation, Pharmaceutical Research, Geology, Engineering, Mathematics, Meteorology, Material Sciences, Statistics, Economics, etc. For more info

Health

Diagnostic imaging, clinical data analysis, biomedical system simulation, magnetic resonance imaging data processing (MRI), high reliability storage, visualization. For more info