DocumentCode
2125612
Title
Computational Characteristics of Production Seismic Migration and its Performance on Novel Processor Architectures
Author
Panetta, Jairo ; De Souza Filho, Paulo R P ; da Cunha Filho, C.A. ; Da Motta, Fernando M Roxo ; Pinheiro, Silvio Sinedino ; Pedrosa, Ivan, Jr. ; Rosa, Andre L Romanelli ; Monnerat, Luiz R. ; Carneiro, Leandro T. ; De Albrecht, Carlos H B
Author_Institution
Petroleo Brasileiro SA, Rio de Janeiro
fYear
2007
fDate
24-27 Oct. 2007
Firstpage
11
Lastpage
18
Abstract
We describe the computational characteristics of the Kirchhoff prestack seismic migration currently used in daily production runs at Petrobras and its port to novel architectures. Fully developed in house, this portable and fault tolerant application has high sequential and parallel efficiency, with parallel scalability tested up to 8192 processors on the IBM Blue Gene without exhausting parallelism. Production load comprises thousands of jobs per year, consuming the installed park of a few thousand x86 CPU cores, with top production runs continuously using up to 1000 dedicated processors during 20 days. A built in mechanism automatically produces, collects and stores job performance data, allowing single job performance analysis and multi job performance statistics. Its port to quad-core x86 and Sony PlayStation 3 achieved very high price/performance and performance/watt gains over single core x86 machines. Port to the PS3 is described in detail. Experimental performance data on a modest PS3 cluster is also presented.
Keywords
fault tolerant computing; geophysics computing; multiprocessing systems; parallel architectures; seismology; IBM Blue Gene; Kirchhoff prestack seismic migration; Petrobras; fault tolerant application; job performance analysis; multijob performance statistics; parallel efficiency; parallel scalability; processor architecture; production seismic migration; Computer architecture; Continuous production; Fault tolerance; Job production systems; Parallel processing; Performance analysis; Performance gain; Scalability; Sequential analysis; Statistical analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Architecture and High Performance Computing, 2007. SBAC-PAD 2007. 19th International Symposium on
Conference_Location
Rio Grande do Sul
ISSN
1550-6533
Print_ISBN
978-0-7695-3014-7
Type
conf
DOI
10.1109/SBAC-PAD.2007.13
Filename
4384037
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