MICDE Seminar: Daniel Katz
Daniel Katz is a senior fellow in the Computation Institute at the University of Chicago and Argonne National Laboratory. He is currently on assignment in the Division of Advanced Cyberinfrastructure at the National Science Foundation, and has 25 years of experience in scientific computing. He gave two talks, Sept 16-17, 2013:
Parallel and Distributed Application Paradigms
This talk used Montage, an astronomical image mosaicking application that is a toolbox of independent components, to explore various application paradigms on parallel and distributed systems.
The Montage components can be used in a variety of settings, including on a single system, a parallel system, or a set of distributed systems, including grids and clouds. Montage, which was built to use MPI in parallel and Pegasus/DAGman on distributed systems, has also been used as an exemplar many task computing (or workflow) application by a number of other tool and system developers.
In this talk, a variety of work with Montage was be discussed, including:
- the use of multiple types of infrastructure/ middleware
- the use of scripting to allow a user to easily customize use of Montage components
- overcoming data management issues
Building and Linking Local, Regional and National Cyberinfrastructure to Advance Science
Louisiana researchers and universities have been involved in a concentrated, collaborative effort to advance statewide cyberinfrastructure: computing systems, data storage systems, advanced instruments and data repositories, visualization environments, and people, all linked together by software and high performance networks.
This effort led to a set of interlinked projects that started making a significant difference to the state and created an environment that encouraged increased collaboration.
Part of this environment included participation in the US National TeraGrid infrastructure, and US National networks.
This talk described the overall effort, the new projects and environment, the results, and the lessons learned.