Heterogeneous Computing

About us

Heterogeneous computing at SINTEF ICT Applied Mathematics

Heterogeneous Computing is a research group at SINTEF ICT, Department of Applied Mathematics. We research state-of-the-art algorithms on heterogeneous and parallel architectures such as graphics cards, the STI Cell BEA and multicore CPUs.

The research group originates from a growing activity that started with a project funded by the Research Council of Norway in 2004. Since then, the activity has shifted from merely exploring the usefulness of graphics processing units as a computational resource to accelerating existing algorithms, and designing new algorithms.

We have many industrial research projects, in addition to research projects funded by the Research Council of Norway. The common denominator in our research is heterogeneous computing, and we have projects within geometry, simulation, visualization, and seismic processing.

We have a strong focus on publication and presentations with over fifteen peer-reviewed articles, and fifty presentations within the research field of heterogeneous computing. We have also been active in supervising over 30 master students working with heterogeneous computing.

 

Key personnel

Trond Runar Hagen  

Trond Runar Hagen, Research Manager - Heterogeneous Computing Group
Trond Runar Hagen has been head of the Heterogeneous Computing Group since January 2009 and has an adjunct position at Narvik University Collage where he teach computer graphics, virtual reality, and animation. His research focus is on massive parallel computing, visual computing and cloud computing on heterogeneous architectures, e.g, combination of CPUs and GPUs. His research areas are computer graphics, visualization, geometric modeling, and simulation (conservation laws, smoothed particle hydrodynamics).

Email
LinkedIn Profile

Tor Dokken

Tor Dokken, Ph.D., Chief Scientist/Research Manager - Geometry
Tor Dokken is Dr. philos. in approximation theory from the University of Oslo 1997 (Master in approximation theory  in 1978 from the University of Oslo). He has been heading the geometry activity within SINTEF for 20 years, and also headed the activity within heterogeneous computing until it was established as a separate research group from the start of 2009. He has and adjunct position as principal investigator at the Center of Mathematics for Applications at the University of Oslo. Dokken also supervises PhD-students within GPGPU, applied algebraic geometry and Computer Aided Geometric Design. Currently he is the coordinator of the Marie-Curie Initial Training Network SAGA (ShApes, Geometry and Algebra).

Email
LinkedIn Profile

Knut-Andreas Lie

Knut-Andreas Lie, Ph.D., Chief Scientist/Research Manager - Simulation/Porous Media
Knut-Andreas Lie got his Ph.D. in applied mathematics from NTNU in 1998. He has been head of the simulation group in Oslo for the past ten years and has held various adjunct positions at the University of Oslo, teaching courses in simulation, visualization, and C++ programming, and supervising several master and PhD students in GPGPU and heterogeneous computing at CMA. Lie is also adjunct professor in reservoir simulation and subsurface storage of CO2 at the University of Bergen. His main contributions to the Heterogeneous Computing group are supervision of students, expertise on simulation methods, and development of research strategies. 

Email
LinkedIn Profile
Personal homepage

Jens-Olav Nygaard

Jens Olav Nygaard, Research Scientist
Jens Olav has been employed at SINTEF ICT Applied Mathematics since 1998. His main research areas are geometric modeling (splines, geometry reconstruction), parallelization, visualization and interactive scientific computing in general. He is currently project leader of the projects Parallel3D and Tecwel2.

Email

Christopher Dyken

Christopher Dyken, Ph.D., Research Scientist
Christopher Dyken got his Ph.D. in computational geometry at the University of Oslo in 2008, where he also lectured computer graphics for four years. He has had various engagements involving e.g. development of mesh-optimizations algorithms for computational fluid flow and simplification algorithms for cartographic data. He currently holds a position as a research scientist at the Heterogeneous Computing Group at SINTEF ICT Applied Mathematics, focusing on algorithms for heterogeneous architectures and visualization techniques.

Email
LinkedIn Profile
Personal Homepage
Follow on Twitter

Johan Simon Seland

Johan Simon Seland, Ph.D. Research Scientist
Johan Seland got his Ph.D.  from the University of Oslo in 2008 and was a Ph.D. fellow in the initial SINTEF GPGPU project. He has worked on a variety of topics including terrain-rendering, ultrasound imaging, SPH simulations, mesh tessellation and spline algorithms. In all of these fields his focus has been of effective parallel algorithms that fully utilize the underlying hardware.  

Email
LinkedIn Profile
Personal Homepage
Follow on twitter

Sverre Briseid

Sverre Briseid, Ph.D. Fellow, Research Scientist
Sverre Briseid has been associated to SINTEF ICT Applied Mathematics since 2001. He has worked with several topics connected to the use of splines for geometric modelling. He is currently a Ph.D. fellow of the Heterogeneous Computing project. The focus of his Ph.D. studies is the use of modern computer resources for speeding up geometric algorithms.

Email
LinkedIn Profile

Jon Hjelmervik

Jon Hjelmervik, Ph.D., Research Scientist
Jon has been associated to SINTEF ICT Applied Mathematics since 1998. The main research areas are geometric modeling (b-splines, meshing, and triangulations), heterogeneous computing and interactive scientific computing. He got his PhD in cotutelle between the University of Oslo and Grenoble INP (France) in 2009. Currently, he has a 20% position as associate professor at Norwegian School of Information Technology (NITH), where he teach C++ programming, and courses in basic and advanced graphics programming.

Email

Atle Riise Atle Riise
André Brodtkorb

André R. Brodtkorb,
André R. Brodtkorb is a research scientist working with acceleration using heterogeneous computing. His work includes comparison of different heterogeneous computing resources, developing a Matlab interface to the GPU, and numerically solving partial differential equations on the GPU.

Email
Linkedin Profile
Personal Homepage

Martin Sætra

Martin L. Sætra, Ph.D. Fellow
Martin L. Sætra is a Ph.D. fellow working with visualization using heterogeneous computing. In his master thesis, he utilized a GPU-cluster to numerically solve partial differential equations. He also holds a part-time position at the Norwegian Meteorological Institute as a developer, where he works with visualization tools, among other things.

Email
Linkedin Profile
Personal Homepage 

 

Partners

NVIDIAIntelIBMAdvanced Micro DevicesForskningsrådetCenter of Mathematics for ApplicationsHøgskolen i Narvik

 

Academic Collaborators


Published October 19, 2010