Abstract: In one aspect, a method of processing time-ordered multi-element data uses a set of computational nodes. In some examples, hundreds or thousands of nodes are used. A set of portions of the data are accepted, for example, from a MD simulation system. Each portion of the data is associated with a corresponding computational node in the plurality of computational nodes, and each portion representing a distinct range of time. Instructions for processing the data are accepted. These instructions include one or more instruction specifying a set of times, a set of elements, an analysis function, and an aggregation function. The accepted data is redistributed from within the portions at each computational node to multiple computational nodes in the plurality of computational nodes, such that data for any element of the specified set of elements is localized to a particular computational node.

Abstract: A method of processing geophysical data on a parallel processor. The method involves decomposition of an analysis cube into depth slices, a second decomposition of a data acquisition cube into traveltime slices, and determination of a variably dimensioned analysis aperture. Precomputed traveltimes are stored in packed format to minimize storage volume and data bandwidths. A processing simulation is performed to optimize the stored sequence of the seismic trace data and to minimize traveltime field input/output demands. The method preferably assigns input/output, analysis, or control tasks to each processor, with depth and traveltime slices assigned to each analysis processor. The method relies on staged access of traveltime fields from high speed mass storage to disk storage and via the input/output processors to analysis processor memory. Seismic trace data are also staged, preferably from tape storage to disk storage to processor memory, and preferably are broadcast under the control of a host computer.