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BULL SAS (BULL)

France

Bull SAS (Bull) – Bull is the Atos brand for its technology products and software. With a rich heritage of over 80 years of technological innovation, 2,000 patents and a 700 strong R&D team supported by the Atos Scientific Community, it offers products and value-added software to assist clients in their digital transformation, specifically in the areas of Big Data and cyber security.

Bull is the European leader in High-Performance Computing (HPC) and its products include the energy-efficient supercomputer that is based on a system patented by the company; BullSequana S, one of the most powerful x86 servers in the world developed to meet the challenges of Big Data. Bull has become an Atos company since January 2015.

Atos is a global leader in digital transformation with 110,000 employees in 73 countries and annual revenue of over 12 billion. European number one in Cloud, Cybersecurity and High-Performance Computing, the Group provides end-to-end Orchestrated Hybrid Cloud, Big Data, Business Applications and Digital Workplace solutions through its Digital Transformation Factory, as well as transactional services through Worldline, the European leader in the payment industry. With its cutting-edge technologies and industry knowledge, Atos supports the digital transformation of its clients across all business sectors. The Group is the Worldwide Information Technology Partner for the Olympic & Paralympic Games and operates under the brands Atos, Atos Syntel, Unify and Worldline. Atos is listed on the CAC40 Paris stock index. With its deep technology expertise and industry knowledge, the Group works with clients across different business sectors: Defense, Financial Services, Health, Manufacturing, Media, Utilities, Public sector, Retail, Telecommunications, and Transportation.

 

The R&D team called AI4Sim, involved in RAISE project, aims at developing artificial intelligence techniques to make physical modeling and numerical simulation more accurate and efficient on HPC platforms. They have successful collaborations with industrial and academic partners, in co-designing and co-developing AI-augmented simulation solutions through application of scientific machine learning techniques (surrogate models, deep learning, physics-informed neural network, black-box modeling, meta-optimization, AI-augmented workflow deployment, etc.) by relying on Bull R&D Infrastructures.

Bull will participate to WP2 that aims at building AI- and HPC-Cross Methods at Exascale. Contributions to WP2 will focus on benchmarking of disruptive technologies around quantum technlogies by relying on quantum optmizers from JSC. Bull will also provide its expertise on the application of ML methodologies to physics area.

In WP3, Bull will Implement hybrid DL techniques to surrogate and predict flame behaviors in particular in the context of thermo-diffusive instabilities applied to canonical use-cases with increasing complexities. Contributions will also focus on modeling the target configurations with AVBP-DL and the hybrid solver methodology, and the strategy for training that leads to optimal in-situ performance compared to investigation line.

 

In WP5, Bull will contribute to understanding market needs for the solution delivered by RAISE then help to develop adapted business model and Business Plan. Bull will propose a Goto market strategy and especially licensing and marketing of he product to build.

 

In WP6, Bull will exploit RAISE results by integrating them to its existing industrial solutions. Disseminaion events will also take place to valorize RAISE outputs.

WP 2 - AI- and HPC-Cross Methods at Exascale (Contributor)

Task
Task name
Role
T2.1
Modular and heterogeneous supercomputing architectures
Contributor
T2.2
Hardware prototypes
Contributor

WP 3 - Compute-Driven Use-Cases towards Exascale (Contributor)

Task
Task name
Role

WP 5 - Business Development (Contributor)

Task
Task name
Role
T5.3
Establishment of legal grounds for the AISee business
Contributor

WP 6 - Outreach and Services (Contributor)

Task
Task name
Role
T6.3
Dissemination and communication
Contributor