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.
To find out the results download this guide.
All information that you supply is protected by our privacy policy. By submitting your information you agree to our Terms of Use.
* All fields required.
