BEMC: A Searchable, Compressed Representation for Large Seismic Wavefields

  • Julio López
  • Leonardo Ramírez-Guzmán
  • Jacobo Bielak
  • David O’Hallaron
Conference paper

DOI: 10.1007/978-3-642-13818-8_23

Volume 6187 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
López J., Ramírez-Guzmán L., Bielak J., O’Hallaron D. (2010) BEMC: A Searchable, Compressed Representation for Large Seismic Wavefields. In: Gertz M., Ludäscher B. (eds) Scientific and Statistical Database Management. SSDBM 2010. Lecture Notes in Computer Science, vol 6187. Springer, Berlin, Heidelberg

Abstract

State-of-the-art numerical solvers in Earth Sciences produce multi terabyte datasets per execution. Operating on increasingly larger datasets becomes challenging due to insufficient data bandwidth. Queries result in difficult to handle I/O access patterns. BEMC is a new mechanism that allows querying and processing wavefields in the compressed representation.

This approach combines well-known spatial-indexing techniques with novel compressed representations, thus reducing I/O bandwidth requirements. A new compression approach based on boundary integral representations exploits properties of the simulated domain. Frequency domain representation further compresses the data by eliminating temporal redundancy found in wave propagation data.

This representation enables the transformation of a large I/O workload into a massively-parallel CPU-intensive computation. Queries to this representation result in largely sequential I/O accesses. Although, decompression places heavy demands on the CPU, it exhibits parallelism well-suited for many-core processors. We evaluate our approach in the context of data analysis for the Earth Sciences datasets.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Julio López
    • 1
  • Leonardo Ramírez-Guzmán
    • 2
  • Jacobo Bielak
    • 2
  • David O’Hallaron
    • 1
  1. 1.Parallel Data LaboratoryCarnegie Mellon University 
  2. 2.Computational Seismology LaboratoryCarnegie Mellon University