The 1st Italian Conference on Big Data and Data Science (ITADATA2022) is the new annual event supported by the CINI Big Data National Laboratory that aims at putting together Italian researchers and professionals from academia, industry and government working in the field of big data and data science, as well as related fields (e.g., security and privacy, HPC, Cloud).
ITADATA2022 aims to discuss and shape the future of Big Data and Data Science in Italy and abroad, considering the multidisciplinary, complex, heterogeneous, and data-centric environment in which modern distributed systems are operating. The ability to timely manage and analyze large amounts of data, and to guarantee low-latency access to the data themselves increasingly become critical requirements and are at the heart of modern business processes. In this context, data science, as the foundation of today’s data-driven society, plays the role of developing and defining all the technologies needed to support construction of value on data in multidisciplinary areas at increasing complexity. ITADATA2022 covers theoretical and practical research pertaining to data, from data governance to data processing and analysis. It also covers research in related domains where data and data science technologies are key, such as cloud, edge and IoT, intelligent and high performance computing, blockchain, security and privacy, assurance and certification.
The Department of Computer Science, Università degli Studi di Milano has just concluded the European project ParBigMen. The project lasted two years, from 2020 to 2022, and has been carried out in collaboration with the Department of Ecological and Biological Sciences (DEB) at Università della Tuscia, Viterbo, Italy, and The Jackson Laboratory for Genomic Medicine, Farmington, CT (USA).
The project aimed to discover pathogenic variants associated with genetic diseases, using Machine Learning and advanced High Performance Computing methods. In particular, the project aimed to improve the results obtained so far in the context of Mendelian diseases by using an expanded dataset. This involved very demanding computations, performed on the HPC resources of SuperMUC-NG, a HPC cluster ranked in the top 10 supercomputers in the world.
Researchers fine-tuned the Machine Learning models and successfully discovered the minimum set of genomic features in a reasonable amount of time (12 hours on the SuperMUC-NG cluster, compared to estimated 2 years on a single machine). The developed code is available at https://github.com/AnacletoLAB/parSMURF-NG.
News by prof. Giorgio Valentini, Department of Computer Science, Università degli Studi di Milano
The Department of Engineering, Università degli Studi della Campania Luigi Vanvitelli organizes the seminar entitled Scientific Advancement on SuperMUC-NG @ Leibniz Supercomputing Centre (LRZ). The seminar is taught by prof. Dieter Kranzlmueller at Ludwig-Maximilians-Universitat Munich (LMU). He is the Chair of the Board of Directors of the Leibniz Supercomputing Centre (LRZ).
Seminar abstract: Science and research in many domains today depends on the performance of available computing infrastructures. The most powerful computers, so called supercomputers, deliver capabilities at the highest possible level. This talk introduces the leadership class system SuperMUC-NG, hosted at the Leibniz Supercomputing Centre (LRZ), and how it advances science for a large number of diverse application domains. As performance is limited by the amount of available power, a focus of LRZ is on energy efficiency, and an outlook will provide indications on the realization of LRZ’s future exascale system ExaMUC.
The seminar is taught within the course High Performance and Cloud Computing (MsC in Computer Engineering), and PhD courses in Industrial and Information Engineering, and environment, design and innovation.
News by prof. Beniamino di Martino, Department of Engineering, Università degli Studi della Campania Luigi Vanvitelli.
The Data Public Private Partnership aims at strengthening the data value chain, in order to allow Europe to play a relevant role on Big Data in the global market.
The European Commission will team up with European industry (large players and SMEs), researchers, academia in a Public-Private Partnership (PPP) in order to cooperate in data-related research and innovation, enhance community building around data and in order to set the grounds for a thriving data-driven economy in Europe.
Industry and academia have identified R&I priorities in a Strategic Research and Innovation Agenda (SRIA).
In order to reach its objectives the PPP will make use of two major instruments:
The Data PPP is a partnership between the European Commission and the Big Data Value Association, the association of the European Big Data community which includes data providers, data users, data analysts and research organisations.
The Data PPP will become operational in 2015.