NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY


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TEAM

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ANNE C. ELSTER


BSc, MSc, PhD, Senior Member of IEEE


Dr. Anne C. Elster is Professor of High Performance Computing at the Dept. of Computer & Information Science, Norwegian University of Science and Technology (NTNU) in Trondheim, Norway, and Visiting Researcher at ICES/University of Texas at Austin, USA.



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MALIK KHAN


PhD


Dr. Khan is currently working as a Postdoctoral Research Scientist in the Computer Science department (IDI) at the Norwegian University of Science and Technology (NTNU), Trondheim, Norway.



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SHORT PROFILE


The Norwegian University of Science and Technology (NTNU) is Norway’s premier university for higher education in technology and the natural sciences. NTNU has 7 faculties and 52 departments and more than 100 laboratories, many of which are national resources used both in research and teaching. It supports 23 000 students, half of whom are studying technology-related subjects or the natural sciences. About 3500 bachelor and master degrees as well as 370 doctoral degrees (38% women) are awarded annually.

With an annual turnover of approximately 700 million Euros, NTNU is recognized for broad cooperation with domestic and international trade and industry. Overall, it has research and education cooperation with more than 320 universities worldwide with prioritized geographical areas such as the EU, the USA, Japan, India and China.

NTNU has proved to be an attractive partner, both on its own or together with its on-campus neighbor, SINTEF, which is Scandinavia’s largest independent research institute. NTNU is involved in 120 projects under FP7, 20 of these are Marie Curie fellowship projects. In 2003 NTNU Technology Transfer AS (TTO) was established to be even more actively involved in obtaining financing, ensuring relevant patent protection, developing ideas (often with the aid of prototyping), performing market analyses, establishing new companies and negotiating license agreements. TTO works on creating value out of research results in the form of new products or services that benefit society.

RELEVANCE TO THE PROPOSAL


The Faculty for Information Technology, Mathematics and Electrical Engineering (IME) has an annual turnover of 65 million Euros with about 20 % of its research being externally funded. With about 550 employees in total, of whom about 160 are professors/associate professors, some 60 % of foreign nationalities are among its 430 registered PhD students. With 65% of the country’ s ICT students enrolled, it has great influence on and responsibility for new information-based industrial developments and development within other areas of society, which apply information and communication technology.

Dissemination of know-how and skills to society is done by active cooperation with industry and the public sector. Companies such as Falanx, bought up later by ARM to developed their GPU IP and Energy Micro (recently acquired by Silicon Labs) and SURF Technologies (medical technology) are examples of commercialization from activities at the Faculty. IME also represents NTNU as a member of the European Consortium of Informatics and Mathematics (ERCIM) and of the EURECOM consortium (Graduate School and Research Centre in Communication Technologies). The IME Faculty host the cross-disciplinary Computational Science and Visualization Program as well as Lighthouses, Strategic Research Areas 2012-2016, which include the Scientific Computing (SC-CSE) Lighthouse, directly related to this proposal. The Faculty also supports 7 interdisciplinary Special Interest Groups (SIGs) including one on Multicore Programming.

TASKS ASSIGNED AND ROLE IN THE PROJECT


NTNU will lead one of the Work Packages (WP 6) as well as be a key contributor in most of the other work packages. The HPC-Lab (Heterogeneous and Parallel Computing Laboratory) at the Department of Computer and Information Science has been involved in GPU computing since 2006 and hosts several advanced computing systems, and thus brings the project valuable experience and resources in heterogeneous computing.