Difference between revisions of "Slicer-IGT/GPU-IGT/112707"
From NAMIC Wiki
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# Nicholas update on his CUDA project | # Nicholas update on his CUDA project | ||
* Rigid and non-rigid registration using CUDA using Nvidia 8800 GTK (350GFlps) compatible with CUDA platform. | * Rigid and non-rigid registration using CUDA using Nvidia 8800 GTK (350GFlps) compatible with CUDA platform. | ||
| − | * Rigid registration (Japanese cas paper) *******to be filled by Nicholas ****** | + | * Rigid registration (Japanese cas paper) *******to be filled by Nicholas ****** x12 |
| − | * Non-rigid registration based on (Rueckert et al.). | + | * Non-rigid registration based on (Rueckert et al.). achieved x10-x20 |
| − | + | #Tool kit used | |
| − | ***CUDA | + | *CUDA calculator |
| + | *8800GTX is CUDA 1.0 compatible | ||
| + | * XXXX is CUDA 1.1 compatible which comes with Atomic function to control cuncurrent access to memoery from multiple thread | ||
| + | |||
| + | # Extension to ITK | ||
| + | * CMake turn on/off #DEFINE | ||
| + | * VTK VolumePro as part of volume redering | ||
| + | * ITK parallelized process | ||
| + | * [Action items] Mid-term goal for Nicholas is to port his rigid and non-rigid regstration to ITK | ||
| + | * [Action items] Contact Utah team hear how exactly they implement their ITK. | ||
Revision as of 15:04, 27 November 2007
Home < Slicer-IGT < GPU-IGT < 112707- Introduction of members of this project
- Nicholas: student from Tokyo
- Benjamin: student from ETH, be at SPL for 6 mo. till May 31, 2007. Experience in golfing simulator, histoscopy simulator, open-source game software. His project here is GPU accerelated Slicer for 4D IGT.
- Nicholas update on his CUDA project
- Rigid and non-rigid registration using CUDA using Nvidia 8800 GTK (350GFlps) compatible with CUDA platform.
- Rigid registration (Japanese cas paper) *******to be filled by Nicholas ****** x12
- Non-rigid registration based on (Rueckert et al.). achieved x10-x20
- Tool kit used
- CUDA calculator
- 8800GTX is CUDA 1.0 compatible
- XXXX is CUDA 1.1 compatible which comes with Atomic function to control cuncurrent access to memoery from multiple thread
- Extension to ITK
- CMake turn on/off #DEFINE
- VTK VolumePro as part of volume redering
- ITK parallelized process
- [Action items] Mid-term goal for Nicholas is to port his rigid and non-rigid regstration to ITK
- [Action items] Contact Utah team hear how exactly they implement their ITK.
