The pressure to reduce both operating and capital costs in seismic data analysis drives an on-going demand for efficiency improvements in computational processing facilities. This is against a background of dramatically increasing seismic data volumes. Wide/Multi/Rich-azimuth
methods using multi-sensor arrays and sophisticated acquisition techniques are producing higher-fidelity subsurface images, and modern analytics techniques are enabling continued advancement in the interpretation of seismic data for both newly acquired data and historical oil field data. As a result of the volume and scale of the seismic data required for modern HPC-based seismic processing and imaging, the performance of the associated storage subsystem can be a source of the greatest overall efficiency improvements. For this report, DDN performed a number of experimental benchmarks to attain optimal IO rates for Paradigm® Echos® application workloads. We present results from IO intensive Echos micro-benchmarks to illustrate the DDN GRIDScaler® performance benefits and provide some detail to aid optimal job packing in 40G Ethernet clusters.

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