Rudolph Lorentz, Texas A&M University at Qatar

KAUST-IAMCS Workshop on Multiscale Modeling, Advanced Discretization Techniques, and Simulation of Wave Propagation

May 7-8, 2011

King Abdullah University of Science and Technology (KAUST)

Thuwal, Kingdom of Saudi Arabia

Compression of Data Resulting from the Numerical Simulation of Counter Propagating Matter Waves in Optical Lattices

Authors: Rudolph Lorentz and Raka Jovanovich

In this talk, I will present a new approach to lossy compression of volumetric data arising from computer simulations. The standard approach to compressing this kind of data is either to use prediction methods (differences) or transformation methods with a discrete cosine or discrete wavelet transform. Instead, an approximation by linear splines on tetrahedra is found. This method is particularly good for very smooth data and high compression factors. It has an additional advantage that the decompression can be combined with extremely rapid visualization.