BEMC: A Searchable, Compressed Representation for Large Seismic Wavefields
- Julio LópezAffiliated withParallel Data Laboratory, Carnegie Mellon University
- , Leonardo Ramírez-GuzmánAffiliated withComputational Seismology Laboratory, Carnegie Mellon University
- , Jacobo BielakAffiliated withComputational Seismology Laboratory, Carnegie Mellon University
- , David O’HallaronAffiliated withParallel Data Laboratory, Carnegie Mellon University
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.
- BEMC: A Searchable, Compressed Representation for Large Seismic Wavefields
- Book Title
- Scientific and Statistical Database Management
- Book Subtitle
- 22nd International Conference, SSDBM 2010, Heidelberg, Germany, June 30–July 2, 2010. Proceedings
- pp 306-321
- Print ISBN
- Online ISBN
- Series Title
- Lecture Notes in Computer Science
- Series Volume
- Series ISSN
- Springer Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- Additional Links
- Industry Sectors
- Editor Affiliations
- 16. Institute of Computer Science, University of Heidelberg
- 17. Dept. of Computer Science and Genome Center, University of California
- Author Affiliations
- 18. Parallel Data Laboratory, Carnegie Mellon University,
- 19. Computational Seismology Laboratory, Carnegie Mellon University,
To view the rest of this content please follow the download PDF link above.