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Do you use computational methods for your research? Could you explore novel areas or obtain more exciting results more quickly if you had access to more powerful computing facilities? Then HPC-Europa3 could be for you!
HPC-Europa3 allows researchers to travel to a participating country [1] to collaborate with a “host” research group in their field, while gaining access to some of the most powerful High Performance Computing (HPC) facilities in Europe.
Research links established under HPC-Europa have led to joint publications, ongoing collaboration and reciprocal research visits, and even visitors obtaining subsequent research positions within their former host group.
The programme is open to researchers of all levels, from postgraduate to full professor, and in any area of research which can make use of HPC facilities.
Visits can last up between 3 and 13 weeks, and travel and living expense are paid.
Applications are particularly encouraged from disciplines which have not traditionally used HPC methods, and from research groups who would not otherwise have access to computational facilities of this type. The Regional Access Programme has been set up to encourage the participation of researchers with less experience from the South-East Europe and Balkans regions.
There are 4 closing dates per year, and applications can be submitted online at any time.
[1] Visits may be made to Finland, Germany, Greece, Ireland, Italy, the Netherlands, Spain, Sweden or the UK.
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Volker Deringer from the University of Cambridge filed a transnational access application in the very first call of HPC-Europa3 to visit Miguel Caro in Aalto University, Finland.
Dr. Caro leads the computational simulation efforts in Prof. Tomi Laurila’s group at Aalto. The group’s work focuses on studying the properties of amorphous carbon, among other research topics. Together, the knowledge of the materials and access to the new methods could be used to solve the long lasting debate between competing growth mechanisms of amorphous carbon films and to gain new understanding on the high-tech material that has enormous industrial and scientific importance. Read more
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"Through HPC-Europa3 I had the chance to interact with many brilliant scientists in the host department and learn new techniques and approaches that I will certainly try to integrate to my research from now on. It was a really valuable experience for which I am really grateful." (Domenica Capasso, from University Federico II (Italy) visiting UK)
"HPC-Europa3 is a very good way to make a new scientific collaboration and to learn new things. Costs of the research stay for my home university is too high to enable me such visit, but due to HPC-Europa3 I was able to go abroad and to establish new scientific connection." (Mariana Kozlowska, from University of Bialystok (Poland) visiting Germany)
"The programme facilitated greater understanding of my research area and how I can use alternative methods to enhance current understanding of my work. The programme also helped set up a promising collaboration with the department, that will help to bring closer important publications." (Samantha Francis, from Cardiff University (UK) visiting Italy)
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GRNET S.A. is the advanced network, cloud and IT services provider for the Greek Educational, Academic and Research community. With a country-side network backbone, owned data centers, HPC facility and a diverse portfolio of IT services, GRNET is constantly developing its service delivery and operational capabilities.
Through HPC-Europa3 access is given to GRNET’s National (Tier-1) HPC system, ARIS. ARIS (Advanced Research Information System), is an HPC cluster consisting of 532 computational nodes separated in four “islands”. The total theoretical peak performance of the whole system is 444 Tflops. In addition, the system offers about 2 Petabyte of storage, based on the IBM General Parallel File System (GPFS) and a tape based storage system with a capacity of 2 Petabytes. More detailed description on ARIS nodes and architecture can be found at: http://doc.aris.grnet.gr/hardware/.
The system that was ranked #468 in the Top500 list of most powerful systems in the world when it was installed (June 2015 iteration), and it is integrated into the European supercomputing ecosystem, the pan European infrastructure PRACE (Partnership for Advanced Computing in Europe).
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The NOMAD Center of Excellence combines a materials repository with advanced data analytics and discovery tools.
The Memorandum of Understanding between NOMAD and HPC-Europa3 aims at promoting collaboration projects with NOMAD developers to speed up adopting and to develop together analytics tools for materials science. The collaboration can be efficiently started with a HPCE3 funded research visit.
Computational materials science has a long and strong HPC tradition. The NOMAD CoE develops and makes available machine learning tools to better utilize the raw simulation results. An on-site research visit with the NOMAD developers can be extremely useful to learn and apply these tools to your systems of interest.
The NOMAD research groups at King's College, Humboldt University, University of Cambridge, University of Barcelona, Aalto University, Max Planck Institute Hamburg, and Fritz Haber Institute will host interested HPC-Europa3 visitors. For contacts and more information visit the NOMAD page.
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- Fifth call for applicants, 13th of Sept 2018
- First users' group meeting (Edinburgh, UK), 23rd of Oct 2018
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