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George Hamer

Publications and source records attributed to George Hamer.

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Extending Beowulf Clusters

Beowulf clusters can provide a cost-effective way to compute numerical models and process large amounts of remote sensing image data. Usually a Beowulf cluster is designed to accomplish a specific set of processing goals, and processing is very efficient when the problem remains inside the constraints of the original design. There are cases, however, when one might wish to compute a problem that is beyond the capacity of the local Beowulf system. In these cases, spreading the problem to multiple clusters or to other machines on the network may provide a cost-effective solution.

Open-File Report

Extending the Beowulf Cluster to the Desktop

Existing Beowulf clusters are normally limited to the actual number of compute nodes physically connected to the cluster's network switch. At some point, it may become necessary to extend the size of the cluster beyond the capacity of the switch. By using existing computers on a campus network, one can extend the computing power of the cluster by including these machines during times they would normally be idle. We have done a survey of methods for extending clusters and devised a parallel solution to a computationally complex all-possible-regressions algorithm and tested it by using idle computing power on the campus network.

Open-File Report