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Parallel algorithm of 3D wave-packet decomposition of seismic data: implementation and optimization for GPU

På svenska

Author

  • Viktor Nikitin
  • Fredrik Andersson
  • Anton Duchkov

Summary, in English

In this paper, we consider 3D wave-packet transform that is useful in 3D data processing. This transform is computationally intensive even though it has a computational complexity of O(N3 log N). Here we present its implementation on GPUs using NVIDIA CUDA technology. The code was tested on different types of graphical processors achieving the average speedup up to 46 times on Tesla M2050 compared to CPU sequential code. Also, we analyzed its scalability for several GPUs. The code was tested for processing synthetic seismic data set: data compression, de-noising, and interpolation.

Publishing year

2012

Language

English

Pages

469-473

Publication/Series

Journal of Computational Science

Volume

3

Issue

6

Document type

Journal article

Publisher

Elsevier

Topic

  • Mathematics

Keywords

  • GPU
  • Wave-packet decomposition
  • Seismic processing

Status

Published

ISBN/ISSN/Other

  • ISSN: 1877-7511