Science on the Teragrid
COMPUTATIONAL METHODS IN SCIENCE AND TECHNOLOGY Special Issue 2010, 81-97 Science on the TeraGrid Daniel S. Katz1,2,3, Scott Callaghan4, Robert Harkness5, Shantenu Jha2,6,7, Krzysztof Kurowski8, Steven Manos9*, Sudhakar Pamidighantam10, Marlon Pierce11, Beth Plale11,12, Carol Song13, John Towns10 1Computation Institute, University of Chicago and Argonne National Laboratory, USA 2Center for Computation & Technology, Louisiana State University, USA 3Department of Electrical and Computer Engineering, Louisiana State University, USA 4University of Southern California, USA 5San Diego Supercomputer Center, University of California San Diego, USA 6Department of Computer Science, Louisiana State University, USA 7e-Science Institute, University of Edinburgh, UK 8Poznan Supercomputing and Networking Center, Poland 9Information Technology Services, University of Melbourne, Australia 10National Center for Supercomputer Applications, University of Illinois, USA, 11Pervasive Technology Institute, Indiana University Bloomington, USA 12School of Informatics and Computing, Indiana University Bloomington, USA 13 Rosen Center for Advanced Computing, Purdue University, USA (Received: 21 May 2010; published online: revised: 29 October 2010; 23 November 2010) Abstract: The TeraGrid is an advanced, integrated, nationally-distributed, open, user-driven, US cyberinfrastructure that enables and supports leading edge scientific discovery and promotes science and technology education. It comprises supercomputing resources, storage systems, visualization resources, data collections, software, and science gateways, integrated by software systems and high bandwidth networks, coordinated through common policies and operations, and supported by technology experts. This paper discusses the TeraGrid itself, examples of the science that is occurring on the TeraGrid today, and applications that are being developed to perform science in the future. Key words: computational science applications, high performance computing, grid computing, production grid infrastructure I.
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