This talk will focus on the special numerical and computational methods
used in an algorithm for doing a least squares fit of genomic data. By
taking advantage of special hardware features of the Cray SV1ex vector
computer the algorithm evolved from a random walk for a global minimum,
to a bootstrapping exhaustive search of the domain. The talk will also
touch on a quick overview of the current state of high performance
computing and some of the features of Cray's newest machine, the Cray X1.
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