 | 2009 |
| 12 |  | Christoph Müller,
Steffen Frey,
Magnus Strengert,
Carsten Dachsbacher,
Thomas Ertl:
A Compute Unified System Architecture for Graphics Clusters Incorporating Data Locality.
IEEE Trans. Vis. Comput. Graph. 15(4): 605-617 (2009) |
| 2007 |
| 11 |  | Martin Kraus,
Magnus Strengert,
Thomas Klein,
Thomas Ertl:
Adaptive sampling in three dimensions for volume rendering on GPUs.
APVIS 2007: 113-120 |
| 10 |  | Martin Kraus,
Magnus Strengert:
Pyramid filters based on bilinear interpolation.
GRAPP (GM/R) 2007: 21-28 |
| 9 |  | Magnus Strengert,
Thomas Klein,
Thomas Ertl:
A hardware-aware debugger for the OpenGL shading language.
Graphics Hardware 2007: 81-88 |
| 8 |  | Martin Kraus,
Mike Eissele,
Magnus Strengert:
GPU-Based Edge-Directed Image Interpolation.
SCIA 2007: 532-541 |
| 7 |  | Martin Kraus,
Magnus Strengert:
Depth-of-Field Rendering by Pyramidal Image Processing.
Comput. Graph. Forum 26(3): 645-654 (2007) |
| 6 |  | Christoph Müller,
Magnus Strengert,
Thomas Ertl:
Adaptive load balancing for raycasting of non-uniformly bricked volumes.
Parallel Computing 33(6): 406-419 (2007) |
| 2006 |
| 5 |  | Magnus Strengert,
Thomas Klein,
Ralf P. Botchen,
Simon Stegmaier,
Min Chen,
Thomas Ertl:
Spectral volume rendering using GPU-based raycasting.
The Visual Computer 22(8): 550-561 (2006) |
| 2005 |
| 4 |  | Thomas Klein,
Magnus Strengert,
Simon Stegmaier,
Thomas Ertl:
Exploiting Frame-to-Frame Coherence for Accelerating High-Quality Volume Raycasting on Graphics Hardware.
IEEE Visualization 2005: 29 |
| 3 |  | Simon Stegmaier,
Magnus Strengert,
Thomas Klein,
Thomas Ertl:
A Simple and Flexible Volume Rendering Framework for Graphics-Hardware-based Raycasting.
Volume Graphics 2005: 187-195 |
| 2 |  | Magnus Strengert,
Marcelo Magallón,
Daniel Weiskopf,
Stefan Guthe,
Thomas Ertl:
Large volume visualization of compressed time-dependent datasets on GPU clusters.
Parallel Computing 31(2): 205-219 (2005) |
| 2004 |
| 1 |  | Magnus Strengert,
Marcelo Magallón,
Daniel Weiskopf,
Stefan Guthe,
Thomas Ertl:
Hierarchical Visualization and Compression of Large Volume Datasets Using GPU Clusters.
EGPGV 2004: 41-48 |