Wavelet Transforms using VTK-m
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
These are a set of slides that deal with the topics of wavelet transforms using VTK-m. First, wavelets are discussed and detailed, then VTK-m is discussed and detailed, then wavelets and VTK-m are looked at from a performance comparison, then from an accuracy comparison, and finally lessons learned, conclusion, and what is next. Lessons learned are the following: Launching worklets is expensive; Natural logic of performing 2D wavelet transform: Repeat the same 1D wavelet transform on every row, repeat the same 1D wavelet transform on every column, invoke the 1D wavelet worklet every time: num_rows x num_columns; VTK-m approach of performing 2D wavelet transform: Create a worklet for 2D that handles both rows and columns, invoke this new worklet only one time; Fast calculation, but cannot reuse 1D implementations.
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
- DOE Contract Number:
- AC52-06NA25396
- OSTI ID:
- 1329546
- Report Number(s):
- LA-UR-16-27385
- Country of Publication:
- United States
- Language:
- English
Similar Records
TU-EF-BRA-01: NMR and Proton Density MRI of the 1D Patient
TU-EF-BRA-02: Longitudinal Proton Spin Relaxation and T1-Imaging