Begin forwarded message:

From: Alyssa Goodman <>
Date: December 12, 2005 11:17:36 AM EST
Subject: IIC SEMINAR Wednesday, Dec. 14: Mark Green on Gateway for Science & Engineering
Reply-To: Alyssa Goodman <>

Wednesday, December 14

 Building a Grid-Enabled Gateway for Science and Engineering

Maxwell Dworkin G115
Refreshments at 3:45 PM, Talk 4-5 PM

Mark Green

Grid Computational Scientist, Center for Computational Research, Center for Excellence in Bioinformatics and Life Sciences, SUNY Buffalo


Modern "data centers" have typically supplied computational and data resources consisting of a variety of efficient computational platforms, operating systems, and data storage devices. In addition, providing a secure environment has been important to those data centers that serve a variety of customers. Historically, the primary focus of such data centers was to provide access to the most computational power possible, much like the muscle cars of the 1960s produced the highest horsepower possible for car enthusiasts. In the future, however, these data centers will migrate toward cyberinfrastructure-based warehouses that provide high-performance computing, high-end data storage, and high-bandwidth networking. More importantly, they will provide a secure environment that allows for the rapid deployment of compute systems and provide on-demand resources. A modern data warehouse, as just described, is required in areas that include biomedical science, manufacturing, computational chemistry and drug design, banking and finance, multi-media, and virtually all areas of science and engineering. The time for conservation in our energy driven society has arrived. As the muscle cars of the 1960s have been transformed by hybrid technologies for fuel efficiencies without comprising performance, we must design our future cyberinfrastructure-based data centers to use less space, less power, and less cooling while providing more computational power. In terms of ease of use, the focus of modern computational science is on cyberinfrastructure. That is, the development of the necessary software, algorithms, portals, and interfaces that will allow a user to operate a workstation without knowledge of where their data is stored, where computations will be performed, where rendering for visualization will take place, where instruments are located, and how the data is collected and managed.