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The first is the ongoing emergence of multicore and hybrid microprocessor designs, ushering in a new era of computing in which system designers must accept energy usage as a first-order constraint, and application designers must be able to exploit parallelism and data locality to an unprecedented degree. The research areas of cluster, cloud, and data analytics computing, which today provide fundamental infrastructure for all areas of advanced computational science, are being radically transformed by the convergence of at least two unprecedented trends. [Extracted from the article]

This special issue gathers selected papers of the Workshop on Clusters, Clouds and Data for Scientific Computing that was held at La Maison des Contes, Dareize-France, on October 3-6, 2016. [ABSTRACT FROM AUTHOR]