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Science and Technology Facilities Council
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157 Projects, page 1 of 32
  • Funder: European Commission Project Code: 671633
    Overall Budget: 3,907,380 EURFunder Contribution: 3,907,380 EUR

    The NLAFET proposal is a direct response to the demands for new mathematical and algorithmic approaches for applications on extreme scale systems, as identified in the FETHPC work programme and call. This project will enable a radical improvement in the performance and scalability of a wide range of real-world applications relying on linear algebra software, by developing novel architecture-aware algorithms and software libraries, and the supporting runtime capabilities to achieve scalable performance and resilience on heterogeneous architectures. The focus is on a critical set of fundamental linear algebra operations including direct and iterative solvers for dense and sparse linear systems of equations and eigenvalue problems. Achieving this requires a co-design effort due to the characteristics and overwhelming complexity and immense scale of such systems. Recognized experts in algorithm design and theory, parallelism, and auto-tuning will work together to explore and negotiate the necessary tradeoffs. The main research objectives are: (i) development of novel algorithms that expose as much parallelism as possible, exploit heterogeneity, avoid communication bottlenecks, respond to escalating fault rates, and help meet emerging power constraints; (ii) exploration of advanced scheduling strategies and runtime systems focusing on the extreme scale and strong scalability in multi/many-core and hybrid environments; (iii) design and evaluation of novel strategies and software support for both offline and online auto-tuning. The validation and dissemination of results will be done by integrating new software solutions into challenging scientific applications in materials science, power systems, study of energy solutions, and data analysis in astrophysics. The deliverables also include a sustainable set of methods and tools for cross-cutting issues such as scheduling, auto-tuning, and algorithm-based fault tolerance packaged into open-source library modules.

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  • Funder: European Commission Project Code: 654168
    Overall Budget: 12,910,000 EURFunder Contribution: 10,000,000 EUR

    Particle physics is at the forefront of the ERA, attracting a global community of more than 10,000 scientists. With the upgrade of the LHC and the preparation of new experiments, the community will have to overcome unprecedented challenges in order to answer fundamental questions concerning the Higgs boson, neutrinos, and physics beyond the Standard Model. Major developments in detector technology are required to ensure the success of these endeavours. The AIDA-2020 project brings together the leading European infrastructures in detector development and a number of academic institutes, thus assembling the necessary expertise for the ambitious programme of work. In total, 19 countries and CERN are involved in this programme, which follows closely the priorities of the European Strategy for Particle Physics. AIDA-2020 aims to advance detector technologies beyond current limits by offering well-equipped test beam and irradiation facilities for testing detector systems under its Transnational Access programme. Common software tools, micro-electronics and data acquisition systems are also provided. This shared high-quality infrastructure will ensure optimal use and coherent development, thus increasing knowledge exchange between European groups and maximising scientific progress. The project also exploits the innovation potential of detector research by engaging with European industry for large-scale production of detector systems and by developing applications outside of particle physics, e.g. for medical imaging. AIDA-2020 will lead to enhanced coordination within the European detector community, leveraging EU and national resources. The project will explore novel detector technologies and will provide the ERA with world-class infrastructure for detector development, benefiting thousands of researchers participating in future particle physics projects, and contributing to maintaining Europe's leadership of the field.

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  • Funder: European Commission Project Code: 632756
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  • Funder: European Commission Project Code: 617119
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  • Funder: European Commission Project Code: 654360
    Overall Budget: 11,759,100 EURFunder Contribution: 9,994,860 EUR

    NFFA-EUROPE will implement the first open-access research infrastructure as a platform supporting comprehensive projects for multidisciplinary research at the nanoscale extending form synthesis to nanocharacterization to theory and numerical simulation. The integration and the extension of scope of existing specialized infrastructures within an excellence network of knowledge and know-how will enable a large number of researchers from diverse disciplines to carry out advanced proposals impacting science and innovation. The full suite of key infrastructures for nanoscience will become, through the NFFA-EUROPE project, accessible to a broader community extended to research actors operating at different levels of the value chain, including SMEs and applied research, that are currently missing the benefits of these enabling technologies. NFFA-EUROPE sets out to offer an integrated, distributed infrastructure to perform comprehensive nanoscience and nanotechnology projects from synthesis and nanolithography (with nanofoundry installations) to advanced characterization and theoretical modellization/numerical simulation (with experimental installations including analytical large scale facilities and a distributed theoretical installation including high-performance computing). Coordinated access will be given to complementary facilities co-located in nine well distributed main sites in Europe, ensuring the optimal match between user proposal and technical offer. The research activity of the Consortium will realize innovative solutions on key bottlenecks of nanoscience research, therefore upgrading the facility quality and uniqueness.

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