Alex Szalay, Johns Hopkins University
Exascale simulations in the near future will have much higher resolution, with memory footprints in several petabytes. As a result,
in the Exascale world only a small fraction of the complete output can ever be saved for later reuse and much of the analysis will
have to be done in-situ. At the same time, as fewer and fewer researchers will be able to directly access these ever larger systems,
it will become increasingly important that data products from the largest simulations be released, shared, reanalyzed and archived
over extended periods by the broader science community. This will require a new, statistical and computational look at how results
are analyzed, compressed and served for posterior, off-line analyses.
Speaker Bio. Alexander Szalay is the Bloomberg Distinguished Professor at the Johns Hopkins University, with a joint appointment in the Departments of Physics and Astronomy and Computer Science. He is the Director of the Institute for Data Intensive Science and Engineering (IDIES). He is a cosmologist, working on the statistical measures of the spatial distribution of galaxies and galaxy formation. He has been the architect for the archive of the Sloan Digital Sky Survey. He is a Corresponding Member of the Hungarian Academy of Sciences, and a Fellow of the American Academy of Arts and Sciences. In 2004 he received an Alexander Von Humboldt Award in Physical Sciences, in 2007 the Microsoft Jim Gray Award. In 2008 he became Doctor Honoris Causa of the Eotvos University, Budapest. In 2015 he received the Sidney Fernbach Award of the IEEE for his work on Data Intensive Computing. He enjoys playing with Big Data.