Visualization and data reordering using EcoRAM

Transpose

Transposing a dataset is a common seismic processing step. A given processing step might need data in offset gathers while the data exists in common offset sections. For source-receiver based wave equation migration, the natural axis order is: midpoint, offset, and depth while further processing steps need the data in depth, offset, and midpoint. For large data volumes (significantly beyond the CPUs memory) what looks like a rather trivial operation can take hours to days using a single CPU. The transpose time is dominated for large problems by disk IO. A solution to this problem is to stream a data volume to a cluster where the transpose can be done completely in-core. This is an effective technique but again adds significant programming overhead.