TAILIEUCHUNG - Grid Computing P24

The emergence of Grid computing as the prototype of a next-generation cyber infrastructure for science has excited high expectations for its potential as an accelerator of discovery, but it has also raised questions about whether and how the broad population of research professionals, who must be the foundation of such productivity, can be motivated to adopt this new and more complex way of working. The rise of the new era of scientific modeling and simulation has, after all, been precipitous, and many science and engineering professionals have only recently become comfortable with the relatively simple world of uniprocessor workstations and. | 24 NetSolve past present and future - a look at a Grid enabled server1 Sudesh Agrawal Jack Dongarra Keith Seymour and Sathish Vadhiyar University of Tennessee Tennessee United States INTRODUCTION The emergence of Grid computing as the prototype of a next-generation cyber infrastructure for science has excited high expectations for its potential as an accelerator of discovery but it has also raised questions about whether and how the broad population of research professionals who must be the foundation of such productivity can be motivated to adopt this new and more complex way of working. The rise of the new era of scientific modeling and simulation has after all been precipitous and many science and engineering professionals have only recently become comfortable with the relatively simple world of uniprocessor workstations and desktop scientific computing tools. In this world software packages such as Matlab and Mathematica and languages such as C and Fortran represent general-purpose scientific computing environments that enable users - totaling more than a million worldwide - to solve a wide variety of problems 1 Work supported in part by the NSF NGS GRANT NSF EIA-9 975 015 and NSF GRANT ACI-9 876 895 Grid Computing - Making the Global Infrastructure a Reality. Edited by F. Berman A. Hey and G. Fox 2003 John Wiley Sons Ltd ISBN 0-470-85319-0 616 SUDESH AGRAWAL ET AL. through flexible user interfaces that can model in a natural way the mathematical aspects of many different problem domains. Moreover the ongoing exponential increase in the computing resources supplied by the typical workstation makes these scientific computing environments more and more powerful and thereby tends to reduce the need for the kind of resource sharing that represents a major strength of Grid computing. Certainly there are various forces now urging collaboration across disciplines and distances and the burgeoning Grid community which aims to facilitate such collaboration has made

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