Using SAS to manage and run a LINUX / WINDOWS-NT based Cluster Of Workstations (COW) to simulate a parallel processor puts the price of supercomputing well within most research budgets. The criteria for using COW's will be discussed in terms of their job symmetry and intermediate solution timing. Special problems and their solutions are discussed including the fact that all COWs need: lots of smoothed electricity, lots of cool breezes; and lots of hard drives. Using three layers of file monitoring, job distribution, and data analysis, SAS can provide clever and cost effective paths to COW management and usage [X command, %MACRO, DATA, STAT].
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