Exascale computing and big data

Daniel A. Reed and Jack Dongarra state that scientific discovery and engineering innovation requires unifying traditionally separated high-performance computing and big data analytics. Big data machine learning and predictive data analytics have been considered as the fourth paradigm of science, allowing researchers to extract insights from both scientific instruments and computational simulations. A rich ecosystem of hardware and software has emerged for big-data analytics similar to high-performance computing.