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

Rudolph Lorentz, Texas A&M University at Qatar (Qatar)
Compression of Data Resulting from the Numerical Simulation of Counter Propagating Matter Waves in Optical Lattices


  • Rudolph Lorentz
  • 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.