The Barcelona Supercomputing Center How to use this
The Barcelona Supercomputing Center
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Barcelona Supercomputing Center Centro Nacional de Supercomputación BSC-CNS objectives Supercomputing services to Spanish and EU researchers BSC-CNS is a consortium that includes R&D in Computer, Life, Earth and Engineering Sciences Ph. D programme, technology transfer, public engagement 60% Spanish Government Catalan Government 30% Univ. Politècnica de Catalunya (UPC) 10%
The Evolution of the Research Paradigm Numerical Simulation and Big Data Analysis • Reduce expense • Avoid suffering • Help to build knowledge where experiments are impossible or not affordable
HPC: An enabler for all scientific fields Materials, Chemistry & Nanoscience Life Sciences & Medicine Engineering Astro, High Energy & Plasma Physics Advances leading to: • Improved Healthcare • Better Climate Forecasting • Superior Materials • More Competitive Industry Earth Sciences
The Mare. Nostrum 4 supercomputer Total peak performance: 13, 7 Pflops/s Access: prace-ri. eu/hpc-access Access: bsc. es/res-intranet
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Mission of BSC Scientific Departments Computer Sciences To influence the way machines are built, programmed and used: programming models, performance tools, Big Data, computer architecture, energy efficiency Life Sciences To understand living organisms by means of theoretical and computational methods (molecular modeling, genomics, proteomics) Earth Sciences To develop and implement global and regional state-of-the-art models for shortterm air quality forecast and long-term climate applications CASE To develop scientific and engineering software to efficiently exploit super-computing capabilities (biomedical, geophysics, atmospheric, energy, social and economic simulations)
Computer Sciences Influence the way machines are BUILT Holistic Computer Architecture Research PROGRAMMED 20 years innovating in Programming Models USED Performance Analytics Tools: From Data to Insight Race towards Exascale In the context of HPC and Big Data convergence Artificial Intelligence era Multiple architectures for different applications domains
Life Sciences Understanding living organisms by theoretical and computational methods Machine Learning Protein and drug modeling Computational genomics Personalized 00 Medicine Text Mining Evaluation of social impact Bio-Infrastructure
Earth Sciences Environmental modelling and forecasting, with a particular focus on weather, climate and air quality Modeling air quality and Sand Dust Storms Processes from urban to Global and the impacts on weather, health and ecosystems Climate predictions system from subseasonal-to-decadal forecasts Research and Forecasts Service Users Sectors Infrastructures Solar Energy Urban development Transport Wind Energy Agriculture Insurance
Computational Applications for Science and Engineering Energy Biomechanics INDUSTRY ORIENTED DEPARTMENT Smart & resilient cities Data analytics & visualization
Collaborations with Global IT industry 2020 June 11, 2020
Collaborations with Industry Research into advanced technologies for the exploration of hydrocarbons, subterranean and subsea reserve modelling and fluid flows Advanced statistical methods to the optimization of maintenance, energy usage, and control of the city's water treatment and supply processes. Research on wind farms optimization and wing energy production forecasts Simulations to improve the understanding of the rotating wheels flow physics and its impact over the aerodynamic performance Collaboration agreement for the development of advanced systems of deep learning with applications to banking services Artificial Intelligence and Big Data techniques to improve the quality of care and personalized diagnosis
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