Abstract
We describe the strategy adopted to enable selected linear algebra routines in the NAG Library to achieve high levels of performance on vector-processing machines. The routines have been restructed so as to perform the bulk of their computation via calls to simple kernel routines, which have been implemented in different versions to suit specific vector-processing machines as well as scalar machines. We present performance measurements for some of the kernel routines and some of the routines which call them, for Cray-1, Cray-XMP, Cyber 205 and FPS-164.
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