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Often scientists need to locate appropriate software for their problems and then select from among many alternatives. The authors have previously proposed an approach for dealing with this task by processing performance data of the targeted software. This approach has been tested using a customized implementation referred to as PYTHIA. This experience made one realize the complexity of the algorithmic discovery of knowledge from performance data and the management of these data together with the discovered knowledge.
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