Меню
КартаВръзкиТемиБългарияНощта (K-TRIO)Мария Склодовска-КюриЗа ученициЗа учителиМетодологияИзненадай ме
H2020Докторантска мрежа2015–2019

HPC-LEAP · High Performance Computing in Life Sciences, Engineering And Physics

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период
2015-04-01 → 2019-03-31
Финансиране от ЕС
3 667 664 €
Участници
17
Схема
MSCA-ITN-EJD

Линиите свързват координатора с партньорите.

Накратко на български

Високопроизводителните изчисления се използват за създаване на цифрови модели в биологията, инженерството и физиката. Те помагат за справяне със сложни задачи и управление на големи обеми от данни, като свързват теорията с реалните експерименти.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

High Performance Computing in Life Sciences, Engineering And Physics

Numerical simulation and modelling using advanced computing technologies has evolved into a key research methodology in both academia and industry. The need to solve problems of ever-growing complexity intensifies the quest to attain capable exascale computing. HPC-LEAP responded to the exascale challenges implementing an interdisciplinary strategy for educating the next generation of scientists to address these challenges. It brought together world-leading experts to train young scientists in Europe in mathematical and computational concepts. The mentoring of fellows from multiple institutions in Europe led to a double degree agreed among seven institutions in four EU countries. Six additional academic and four non-academic partners complemented the training offered to the fellows. The main objectives of the programme were to: - Provide a rigorous research programme, which is interdisciplinary and at the same time has the required depth, by engaging world-leaders in computational science domains in a collaborative environment. - Contribute to developing a community of scientists in Europe that uses simulation to bridge experimentation and theory, by designing innovative HPC-driven research projects and training courses. - Advance the computational capabilities of the different communities by accommodating future HPC architectures requiring higher levels of parallelism and educate scientists to understand the challenges involved in the co-design approach and in managing big data associated with HPC. - Pioneer innovative HPC-related industries by integrating non-academic partners in the research projects, effectively training young scientists in innovation practices. The 15 fellows were foreseen to work on interdisciplinary research projects under the close mentorship of two advisors and with the participation of scientists from within the consortium. Computational techniques and algorithms were shared in different application areas, as appropriate. This activity led to the development of original and important scientific results, that have already been published in high-impact scientific journals and presented at several international meetings. All graduating fellows have secured postdoctoral research positions at universities and research institutions in Europe greatly strengthening European research. Through outreach activities the project highlighted to the general public the importance of research and in particular the methodology of computational science in addressing some of the world’s more complex problems. It also highlighted the importance of collaboration across Europe where complementary expertise can be utilized to achieve scientific breakthroughs and generate new knowledge for the benefit of European societies.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

Progress in computers and algorithms in the last years has made numerical simulation and modelling a key research methodology in both academia and industry, which in turn drives exascale computing in order to maintain excellence in research and innovation. A disruptive evolution in computer technologies is required for attaining exascale performances in the coming years bringing challenges that urgently need to be addressed across science and engineering fields. Therefore new interdisciplinary strategies are required in order to educate the next generation of scientists to address such challenges enabling them to be at the forefront of their respective research fields. Instead of the traditional domain-specific training, integrated approaches are needed that can be best implemented by collaborative networks of universities, research institutes and industrial partners. We propose a highly interdisciplinary joint doctorate program realized by bringing together world-leading experts in applied mathematics, high performance computing technologies, particle and nuclear physics, fluid dynamics and life sciences to appropriately train researchers in Europe to exploit high performance computing, advance science and promote innovation. Students will be trained in mathematical and computational concepts underpinning current and future numerical simulations in turbulent flows, computational biology and lattice quantum chromodynamics. The research projects are designed to enhance collaborations and interactions across these disciplines, integrating non-academic partners, and to develop methodologies that efficiently use large-scale numerical simulations on future high performance computer systems. Students who complete this training program will be versatile to undertake highly interdisciplinary projects, well positioned to embark on a successful career in academia or the industrial sector.

Оригинален текст от CORDIS (на английски).

Участници

Връзки

Данни: CORDIS, © Европейски съюз