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Informed partly by the work of the International Exascale Software Project (IESP, 2009-2012), in the past five years, the United States, the European Union, Japan and China have each moved aggressively to develop their own plans for achieving exascale computing in the next decade. Such concerted planning by the traditional leaders of high performance computing speaks eloquently about both the substantial rewards that await the success of such efforts, and about the unprecedented technical obstacles that apparently block the path upward to get there.
But while these exascale initiatives have understandably focused on the big challenges of exascale for hardware and software architecture, the relatively recent emergence of the phenomena of Big Data in a wide variety of scientific fields represents a tectonic shift that is transforming the entire research landscape on which all plans for exascale computing must play out.
Building on the work of the IESP, the Big Data and Extreme-scale Computing (BDEC) community has staged a series of workshops that have endeavored to map out and account for the ways in which the major issues associated with Big Data intersect with, impinge upon, and potentially change, the national (and international) plans that are now being laid for achieving exascale computing.
