SCHEDULE: NOV 10-16, 2012
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Using Active Storage Concept for Seismic Data Processing
SESSION: Research Poster Reception
EVENT TYPE: Posters and Electronic Posters
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Ekaterina Tyutlyaeva, Alexander Moskovsky, Sergey Konyuhov, Evgeny Kurin
ROOM:East Entrance
ABSTRACT:
This poster presents an approach to distributed seismic data processing using Seismic Un*x Software and the Active Storage system based on TSim C++ template library and the Lustre file system. Active Storage concept implies the use of distributed system architecture, where each node has processing and storage capabilities. Data are distributed accross these nodes, computational tasks are submitted to the most suitable nodes, to reduce network traffic.
The main benefits of our approach are the following:
- Effective storing and processing of seismic data with minimal changes in CWP/SU modules
- Performance testing shows that the Active Storage system is effective
- Meta-programming with C++ templates permits a flexible implementation of scheduling algorithms
The study analyzes performance results of the developed system as well as the usability of Active Storage and Seismic Unix integration. In the nearest future, we will get results for a 1.2 TB data processing.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Ekaterina Tyutlyaeva - Russian Academy of Sciences
Alexander Moskovsky - RSK SKIF
Sergey Konyuhov - RSK SKIF
Evgeny Kurin - GEOLAB
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Using Active Storage Concept for Seismic Data Processing
SESSION: Research Poster Reception
EVENT TYPE:
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Ekaterina Tyutlyaeva, Alexander Moskovsky, Sergey Konyuhov, Evgeny Kurin
ROOM:East Entrance
ABSTRACT:
This poster presents an approach to distributed seismic data processing using Seismic Un*x Software and the Active Storage system based on TSim C++ template library and the Lustre file system. Active Storage concept implies the use of distributed system architecture, where each node has processing and storage capabilities. Data are distributed accross these nodes, computational tasks are submitted to the most suitable nodes, to reduce network traffic.
The main benefits of our approach are the following:
- Effective storing and processing of seismic data with minimal changes in CWP/SU modules
- Performance testing shows that the Active Storage system is effective
- Meta-programming with C++ templates permits a flexible implementation of scheduling algorithms
The study analyzes performance results of the developed system as well as the usability of Active Storage and Seismic Unix integration. In the nearest future, we will get results for a 1.2 TB data processing.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Ekaterina Tyutlyaeva - Russian Academy of Sciences
Alexander Moskovsky - RSK SKIF
Sergey Konyuhov - RSK SKIF
Evgeny Kurin - GEOLAB
Click here to download .ics calendar file