By Kris Garrett, SC17 SCC Reproducibility Chair from Los Alamos National Laboratory For years, computational science research literature has relied upon computational results. While this mimics relying on experimental results in other sciences, the ability to reproduce computational results has been lacking. At SC16, the Student Cluster Competition (SCC) began taking the lead in pushing […]
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SC16 Explores Reproducibility for Advanced Computing Through Student Cluster Competition by Michela Taufer
Data sets and software are important by-products products of research in fields that depend upon data-intensive and high performance computing. But these elements are typically absent when research results are recorded in a journal article or conference proceedings. There is a growing sense in the computational community that this gap needs to be filled if […]
