Parallelization strategies for random path generation.

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Master Thesis

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Abstract

Geostatistical sequential simulations are becoming larger and larger. In recent time, many parts of the simulation process have been parallelized to accommodate this growth. One part of the process that has not yet been parallelized, but at some point inevitably will have to be, is the calculation of the random path. In this paper, multiple methods of parallelization of the random path generation are presented. The most efficient one will completely parallelize this process and will require no communication between computers about the random path. All methods have been implemented to make analysis of quality of randomness possible.

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