Science is undergoing a rapid transformation driven by an explosion of data. The result has been the emergence of a new paradigm of scientific discovery that now stands alongside the three traditional pillars of experimentation, theory and computational simulation. This new Fourth Paradigm is based on our ability to discover and learn concepts based on the analysis of massive amounts of data. This site will provide information and tutorials about the role scalable cloud computing and high performance computing (HPC) plays in scientific data analysis. We will also provide information about new software technology and scalable algorithms for scientific discovery.
Author Archives: dbgannon
About dbgannon
Dennis Gannon is a computer scientist involved with the application of cloud supercomputing to data analysis for science. From 2008 until he retired in 2014 he was with Microsoft Research as the Director of Cloud Research Strategy. In this role he helped provide access to Azure cloud computing resources to over 300 projects in the research and education community. Gannon is professor emeritus of Computer Science at Indiana University and the former science director for the Indiana Pervasive Technology Labs. His research interests include cloud computing, large-scale cyberinfrastructure, programming systems and tools, distributed computing, parallel programming, data analytics and machine learning, computational science, problem solving environments and performance analysis of scalable computer systems. His publications include more than 100 refereed articles and three co-edited books. Gannon received his PhD in computer science from the University of Illinois Urbana-Champaign and a PhD in mathematics from the University of California, Davis.
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