Bull is the trusted partner for enterprise data. The Group, which is firmly established in the Cloud and in Big Data, integrates and manages high- performance systems (including high end HPC Clusters) and end-to-end security solutions. Bull’s offerings enable its customers to process all the data at their disposal, creating new types of demand. Bull converts data into value for organizations in a completely secure manner. Bull currently employs around 9,200 people across more than 50 countries, with over 700 staff totally focused on R&D. In 2013, Bull recorded revenues of €1.3 billion with a particularly strong presence in the public, healthcare, finance, telecommunications, manufacturing and defence sectors.
Closely attuned to changes in technology and business, Bull R&D is involved in all key areas of the Group’s activities: high-performance computing, cyber-security, Cloud computing, information systems modernization, Big Data. In recent years, the Bull R&D labs have developed many major products that are recognized for their originality and quality. These include the bullx supercomputer offer (with several references in the TOP500), bullion servers for the private Clouds and Big Data, the Shadow intelligent jamming system designed to counter RCIEDs, the libertp tool for modernization of legacy applications and, most recently, hoox, the first European smartphone featuring native security. To explore new areas and develop tomorrow’s solutions, today, Bull R&D is investing heavily in customers – with whom it has forged many successful technological partnerships – as well as in institutional collaborative programs (such as competitiveness clusters and European projects) and in partnerships with industry (Open Source, consortiums).
Bull will be heavily involved in Task 2.6: Upscaling of CompBioMed Production Applications for Future HPC Platforms and in WP4: Innovation and Sustainability. Bull intends to provide access to an “on-demand” HPC production infrastructure with dedicated portal, and provide expertise. They will contribute to best practices recommendations for efficient resource usage and solution upscaling toward the exascale. They will also contribute to (Big) Data management aspects of the project (Task 5.5 Integrating Compute and Data Infrastructure).