Norwegian University of Science & Technology (NTNU)


Norwegian University of Science and Technology (NTNU)
Høyskoleringen 1 N-7491 Trondheim,
Norway
http://www.ntnu.edu
 ntnu
 
HPC-Lab (Heterogenous and Parallel Computing Laboratory)
Director
Prof. Anne C. Elster
Dept if Computer & Info. Science (IDI)
NTNU, Sem Sælandsvei 9
N-7491 Trondheim, Norway
 hpc-lab

Institution Background

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.

 

Research Group Background

The NTNU HPC-Lab, located in the Dept. ofComputer and Information Science (IDI) ,is directed by Dr. Anne C. Elster and currently includes her colleagues Prof. Bjørn Angelsen from NTNU’s Medical Imaging Faculty and Dr. Frank Lindseth an adjunct colleague from SINTEF, one Post Doc, 9 PhD students, 10+ master students, and several other affiliate members and visitors including hosting recentl visitors from Canada, Poland, Slovakia and Spain.

HPC-Lab was formally founded by Dr. Elster in 2008 when it got its own dedicated space, growing from her NTNU research group dating back to 2001.

The group focuses on heterogeneous and parallel computing with a current focus on software environments for testing and developing scientific codes on novel architectures and accelerators, including GPUs, auto-tunable algorithms, computational steering, as well as supercomputing, grid and cloud computing. ge

Funding partners/collaborators include AMD, ARM, NVIDIA, Kongsbergruppen,Statoil and Schlumberger. Collaborators from Medical Technology (SINTEF) and Applied Math, Cybernetics, Marine Tech, Petroleum Engineering and Physics have had and still have several of their master students doing research in our lab. This has been of great benefit for the lab, especially w.r.t. getting access to and gaining understanding of great applications. It is also very satisfying for work impacting other fields.

Prof. Anne C. Elster (Ph.’94 Cornell) helped found NTNU’s Computational Science and Engineering Program and served as Co-Director until Jan. 2007, and again since 2012. She also holds current Visiting Scientist positions at the Univ. of Texas at Austin (ECE and ICES). She is also the PI of NTNU’s NVIDIA CUDA Research Center and the main PI of the CUDA Teaching Centers at NTNU and UT Austin.

Her current research interests are in parallel computing where she is currently focusing her research on developing new models for heterogeneous computing and parallel software environments for testing and developing parallel scientific codes that interact visually with the users by taking advantage of the powers in modern GPUs.. Her novel fast linear bit-reversal algorithm is still noteworthy. Several of her Master’s students have had internships at CERN, Switzerland related to GRID computing.

She was one of 4 WG Leaders of EU COST Action IC0805: Open European Network for High Performance Computing on Complex Environments and helped propose the ongoing EU COST Action IC 1305 where is again on the Management Committee and also serves on the Collaboration Board and in several working groups. She also co-organizwed and participatied in The Multicore Summer School, funded by the Erasmus+ Education and Culture Lifelong Learning program: http://multicoresummerschool.uniroma2.it/programme-2/

Dr. Elster organized and hosted PARA 2008 in May 2008, has organized several minisymposia and international panels, and serves yearly on several Program Committees, including ACM/IEEE SC, HiPC and IEEE IPDPS. Her professional memberships include IEEE (UMASS IEEE CS President 1983/4, M 1994, SM 2000), Life Member of AGU and SIAM.

 

Major Interest in Action Scientific Topics

  • Scope of research activities in ultrascale computing systems.
  • Paralelization methods suitable for ultrascale.
  • Energy efficiency in very large scale systems.
  • Numerical modelling and simulations in the area of medical imaging and oli & gas simulations, including image pre- and post processing as well as flow simulations and fracture mechanics.