Kirannmayi M. Sirasala

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The size of seismic data from a survey area has exceeded 100 TB, and will increase to more than 1 PB in the near future. The size of PC cluster used for seismic data processing has been 256~1000 nodes and GPU cluster has been used to speed up the parallel computation. To support increasing survey sizes and processing complexity, we propose a practical(More)
6 This article presents an efficient parallel 3D Kirchhoff depth migration algorithm suitable for current class of multicore architecture. The fundamental Kirchhoff depth migration algorithm exhibits inherent parallelism however, when it comes to 3D data migration, as the data size increases the resource requirement of the algorithm also increases. This(More)
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