The Heterogeneous Computing group has supervised students from multiple universities in Norway, including the University of Oslo, Narvik University College, and the Norwegian University of Science and Technology. Our ongoing aim is to continue to supervise students at different levels, and we have several master's projects available. We have had many master's students through the years, and many graduees have continued to work at SINTEF, either as researchers, or as doctoral students. As a master student associated to us you will be integrated in our research group, including informal discussions at the foosball table.

Available Master's Projects

Virtualizing CUDA for C
Nvidias CUDA API is the preferred choice for many GPGPU computations. However, not all computers are CUDA-ready, and the correct configuration of drivers and compilers is a major headache. It would be beneficial to provide virtualized CUDA environments where a small pool of GPUs could be used by several guest operating systems with only a small performance penalty.

This project will include the development of a Xen driver that handles communication through the hypervisor and a userspace library that communicates with the driver.
Contact: Johan Seland 

Explicit schemes for evolutionary PDEs.
Explicit schemes for evolutionary PDEs maps well to GPU hardware and high speedups have been demonstrated for applications to shallow water flows, gas dynamics, and astrophysics. The project can take several directions: (i) explore central difference schemes on triangular grids, (ii) investigate the use hierarchical parallelisation using multiple GPUs, (iii) use of higher-order (WENO) reconstructions for shallow water and/or gas dynamics.
Contact: Knut-Andreas Lie

Flow in porous media
SINTEF has for several years developed advanced computational methodologies for computing flow in porous media with particular emphasis on applications in reservoir simulation and subsurface storage of CO₂. The project can take several directions: (i) use CUDA or OpenCL on programmable GPUs to accelerate streamline simulation: the solution of 1-D transport problems along streamlines and gravity lines and/or pvt and flash calculations; (ii) use of GPUs for linear algebra, in particular, algebraic multigrid and/or multiscale methods, (iii) build support for GPU accelleration into the MATLAB Reservoir Simulation Toolbox.
Contact: Knut-Andreas Lie

3D Volume Visualization
Volume visualization is increasingly becoming more and more important. The use of computationally demanding algorithms, such as ray-tracing and ray-casting, has recently become feasible for realtime visualization.

Projects:

Visualization of smooth surfaces
Applications ranging from computer games and simulators to industrial design rely on efficient rendering of smooth surfaces e.g. subdivision and B-Splines. Visualizing spline surfaces correctly and in real time is a vital part of all CAD software. Functionality available in new graphics hardware can be exploited to efficiently visualize such surfaces, both in real time, and with good quality.

Algebraic surfaces are often difficult to understand from their mathematical formulation. Visualization of such surfaces is important to broaden our understanding of such surfaces and their singularities.

Projects:

Contact: Tor Dokken

Interactive Ray-Tracing of Volumetric Data using the NVIDIA OptiX engine

More information to come.

Current Master/Project Students

1. Heidi-Christin Bernhoff-Jacobsen, University of Oslo
2. Svein Atle Arnesen, University of Oslo
3. Jo-Herman Haugholt
4. Gagandeep Singh og Runar Heggelien Refsnæs, NTNU

Past Stutents

Post Doctoral

• Talal Rahman (2008),  University of Bergen.

Doctoral

• André R. Brodtkorb (2010), University of Oslo. Scientific Computing on Heterogeneous Architectures.
• Jon M. Hjelmervik (2009), In cotutelle between University of Oslo and Grenoble INP. Heterogenous Computing with Focus on Mechanical Engineering.  
• Johan S. Seland (2008),  University of Oslo. Smooth surface visualization using graphics hardware.
  

Master

1. Erik Bjønnes (2010), University of Oslo, Accelerated Global Illumination
2. Asbjørn Bydal (2009), University of Agder, GPU-accelerated simulation of flow through a porous medium.
3. Eirik Ulvik (2008), Narvik University College, Subdivision on the GPU.
4. Kent Roger Bjørshol Fagerjord (2008), Narvik University College, Collision detection on the GPU
5. Tatyana Lochehina (2008), Narvik University College, Collision detection on the GPU
6. Håkon Fjukstad (2007), Narvik University College, Visualization of water flow in terrain
7. Kato Griff Klæboe (2007), Narvik University College, GPU-based visualization of explosions in real time
8. Ove Hermann Bastiansen (2007), Narvik University College, "Zoom" of visualization of complex geometry
9. Xu Yihui (2007), Narvik University College, GPU-based interactive ray tracing of algebraic surfaces
10. Martin Lilleeng Sætra (2007), University of Oslo, Solving systems of hyperbolic PDEs using multiple GPUs
11. Lars Moastuen (2007), University of Oslo, Real-time simulation of the incompressible Navier-Stokes equations on the GPU
12. Trygve Fladby (2007), University of Oslo, Efficient linear algebra on heterogeneous processors
13. Hanne Moen (2007), University of Oslo, Wavelet transformation and efficient implementation on the GPU
14. Andre Rigland Brodtkorb (2007), University of Oslo, A MATLAB interface to the GPU
15. Olav Haugehåtveit (2006), Norwegian University of Science and Technology, Calculation of underwater sound fields on the GPU
16. Andreas Eidissen (2006), Narvik University College, Realistic real-time simulation of waves from vessels
17. Frank-Vegar Mortensen (2006), Narvik University College, A real-time system for creating and displaying ship wakes
18. Ove Byberg (2006), Narvik University College, 3D terrain visualization based on geometric images using the GPU
19. Andrei Kourinski (2005), Narvik University College, Vertex and fragment programs for image processing
20. Bjørn Anders Ulsund (2005), Narvik University College, Expo-rational B-splines evaluated on the GPU
21. Fredrik Eidissen (2005), Narvik University College, Course setup for GPGPU programming
22. Gunhild Helene Strøm (2005), Narvik University College, Experiments with filters and transformations using vertex and fragment programs with applications in image processing.
23. Hans-Børge Stormo (2005), Narvik University College, Vertex and fragment programs for curvature visualization
24. Juri Bobrovsky (2005), Narvik University College, Recognition of geometric objects using the GPU
25. Pål-Arve Nilsen (2005), Narvik University College, 3D fluid flow simulation with complex boundaries on the GPU
26. Richard Dahl (2005), Narvik University College, Realistic simulations using expo-rational B-splines and GPU programming