This presentation creates and applies a computational model of irrigation agriculture in order to study the effects of salinization in Mesopotamia. The model applies a distributed and parallel computational approach that spreads a batch workload to multiple computer nodes within a cluster environment. Benefits of this approach not only allow large-scale testing of many simulation runs, but problems of larger spatial scales are better addressed by using a distributed approach. In this paper, some initial results and discussion are presented showing the benefits to archaeological methods and insights into archaeological theory achieved. Applying some of the modeling results with a larger discussion on how parallel, distributed, and high performance computing could alter and transform how archaeologists approach research problems will also be presented.