Parallel processing with multiple CPUs

Several steps in the calculation of geostatistical layers take advantage the increased performance available in systems that use multiple CPUs (or multi-core CPUs). Parallel processing is used for all kriging, inverse distance weighting, and local polynomial models created within Geostatistical Wizard, as well as the cross-validation, validation, and prediction functions for geostatistical layers.

Additionally, the following tools in the Geostatistical Analyst toolbox take advantage of multiple CPUs:

Increased processing speed is most noticeable in complex models (for example, involving data transformations and large neighborhoods) and in repeated use of the tools (as in models and scripts).


7/10/2012