A Data Mining Environment for Modeling the Performance of Scientific Software

Complex problems, whether scientific or engineering, are most often solved today by utilizing public domain or commercial libraries or some form of problem solving environment. The task of “selecting” the best software for a targeted application or computation is often difficult and sometimes even intractable. We have proposed an approach for dealing with this issue by “mining” performance data of scientific software to generate knowledge that can be used to select software for a particular scientific problem, assuming some computational objectives. In this chapter we describe a framework together with its software implementation for mining performance data of scientific software and using the results to generate knowledge necessary to solve the software selection problem.

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