KAUST is unusual among major research universities in that its DNA at founding was strongly computational. Among the paths to wisdom, computational modeling and analytics joined theory and experiment only recently, complementing, not replacing. In a short time, KAUST has become a destination for researchers in high performance computing and a beacon for how computation integrates into the overall research endeavor. KAUST has major computational facilities of experimental and production varieties, but these are just components of an overall ecosystem that includes networking, data acquisition, data curation, software, system administrators, developers, educators and enablers, and scientific and engineering users, each of which is enhanced by the balance. In this lecture, a founding faculty member attracted to KAUST because of its potential to deliver revolutionary benefits to the Kingdom and the world by riding the curve of Moore’s Law will give an in-seat tour of KAUST computation, reflect on a few of its highlights, and project its future.
Professor Keyes is the director of the Extreme Computing Research Center at KAUST. He earned a BSE in Aerospace and Mechanical Sciences from Princeton University in 1978 and a PhD in Applied Mathematics from Harvard University in 1984. Prof Keyes works at the interface between parallel computing and the numerical analysis of partial differential equations. Before joining KAUST as a founding dean in 2009, he led DOE scalable solver software projects and taught at Columbia University and Yale.
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