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:

• Areal Interpolation Layer To Polygons
• Densify Sampling Network
• Diffusion Interpolation With Barriers
• Empirical Bayesian Kriging
• GA Layer To Grid
• GA Layer To Points
• Gaussian Geostatistical Simulations (for conditional simulation)
• Moving Window Kriging

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).