Daniel Katz of University of Chicago and Argonne National Lab to speak on U-M campus Sept. 16-17

Daniel Katz, senior fellow in the Computation Institute at the University of Chicago and Argonne National Laboratory, will be on the U-M campus for seminars Sept. 16 and 17, 2013. His first talk, titled “Parallel and Distributed Application Paradigms,” will use the astronomical image mosaicking application Montage to explore various application paradigms on parallel and distributed systems. It will take place at 4 p.m., Monday, Sept. 16 in Room 3725 of the Bob and Betty Beyster Building on North Campus. The second seminar is titled “Building and Linking Local, Regional and National Cyberinfrastructure to Advance Science.” It will describe the efforts of Louisiana researchers and universities to collaborate to advance statewide cyberinfrastructure including computing systems, data storage systems, advanced instruments and data repositories, and visualization environments. The talk will give an overview and discuss the new projects and environment, the results, and the lessons learned. It is scheduled for 10 a.m., Tuesday, Sept. 17 in the Ehrlicher Room (Room 3100) of North Quad on Central Campus. Katz has 25 years of experience in scientific computing in multiple areas, including engineering, geophysics, astronomy, and computer science. His work includes component models, languages, and visualization. Along with his positions at the University of Chicago and Argonne, Katz is currently on assignment in the Division of Advanced Cyberinfrastructure at the National Science Foundation. He was TeraGrid GIG Director of Science during the final three years of the TeraGrid, and Open Grid Forum Area Co-director for Applications. The seminars are the first in a series sponsored by the Michigan Institute for Computational Discovery and Engineering, which is a joint effort of the College of Engineering, the School of Information, and Advanced Research Computing (ARC). More information can be found at http://arc.umich.edu/micde/seminar-series/.