Narcn Ramakrishnan

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The predicted growth of computational power and network bandwidth suggesls that computational modeling and experimentation will be one of the main lools iIi big and small science. In this scenario, computational modeling wiII shift from the current single physical component design to the design of a whole physical system with a large number of components(More)
Very often scientists are faced with the task of locating appropriate solution software for their problems and then seleding from among many alternatives. Issues related to how someone specifies problems, extracts content information, builds knowledge bases, infers answers, and identifies software resources are crucial to any scientific computing(More)
The advent of High Performance Computing (HPe) and the Internet has brought forth a 'net-centric' scenario for scientific computation where important pieces of algorithms and software arc spread across a(thc) network. The currenL networked computing scenario assumes that the choice of method to solve a scientific problem is fLx:ed a priori and that(More)
Very often scientists are faced with the task of locating appropriate solution software for their problems and then selecting from among many alternatives. Issues related to how someone specifies problems, extracts content information, builds knowledge bases, infers answers, and identifies software resources are crucial to any scientific computing(More)
To reduce the cost associated with screening lifecycle assessments (LCAs), we propose treating LCA as a data mining problem and automating the process of assigning impact factors to inventory components. We describe three sub-problems involved in automating LCA and provide illustrative case studies for each. The results from an automated data mining(More)
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