Running POM on a Beowulf Cluster
Stephen Cousins and Huijie Xue
School of Marine Sciences
University of Maine
Linux based Beowulf clusters provide a relatively inexpensive way to achieve
high-performance computing for scientific modeling. Funded by a grant from the
Maine Science and Technology Foundation (MSTF), a joint project between the
Computer Science department and the School of Marine Sciences at the University
of Maine has been in progress since January of 2000. The goal of this project
is to create a parallel version of the Princeton Ocean Model (POM), to run on
a Beowulf cluster built by the Computer Science department. Specifically, the
model is of Penobscot Bay on the coast of Maine.
Using the MP-POM code generated by the TOPAZ project at the University of
Minnesota as a starting point, the code was changed to work with our Penobscot
Bay model on the Beowulf cluster. An overview of the project and the project
status will be presented.