Paper Info
Title
BEMC: a searchable, compressed representation for large seismic wavefields
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.
Year
Venue
Keywords
2010
SSDBM
o access pattern,data analysis,o bandwidth requirement,wave propagation data,insufficient data bandwidth,large seismic wavefields,frequency domain representation,o workload,representation result,boundary integral representation,o access,wave propagation,spatial index,frequency domain
Field
DocType
Volume
Frequency domain,Data mining,Central processing unit,Computer science,Terabyte,Bandwidth (signal processing),Redundancy (engineering),Compression ratio,Boundary element method,Database,Computation
Conference
6187
ISSN
ISBN
Citations 
0302-9743
3-642-13817-9
0
PageRank 
References 
Authors
0.34
13
4
Name
Order
Citations
PageRank
Julio López116511.33
Leonardo Ramirez-guzman2111.49
Jacobo Bielak3999.01
David R. O'hallaron41243126.28