Opportunities from the Integration of Simulation Science and Data Science Proceedings of a Workshop (2018) / Chapter Skim
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1 Introduction
1 Introduction
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Convergence refers both to the combined use of simulation and data-centric techniques in science and engineering research and the possibilities for a single type of cyberinfrastructure to support both techniques. The workshop featured speakers from universities, national laboratories, technology companies, and federal agencies who addressed the potential benefits and limitations of convergence as they relate to scientific needs, technological capabilities, funding structures, and system design requirements.
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This gap raises the questions of whether limited funds could be stretched further with converged platforms that meet a larger fraction of scientists -- whether they are running simulations or analyzing data -- and how far such a strategy could go in meeting the needs of scientific research. To frame the workshop, Gropp posed several questions relevant to charting a path forward for the convergence of simulation and data-driven science.
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