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Download Current Trends in Scientific Computing by Chen Z., Glowinski R., Li K. (eds.) PDF

By Chen Z., Glowinski R., Li K. (eds.)

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The GridLab project brings together computer scientists with computational scientists from various application areas to design and implement a Grid Application Toolkit (GAT), together with a set of Grid services, in a production grid environment. The GAT will provide functionality through a carefully constructed set of generic highlevel APIs, through which an application will be able to call the underlying grid services. The project will demonstrate the benefits of the GAT by developing and implementing real application scenarios, illustrating wild, exciting, new uses of the Grid.

GRID 2002, LNCS 2536, pp. 39–45, 2002. c Springer-Verlag Berlin Heidelberg 2002 40 Gabrielle Allen et al. The primary aim of GridLab is to provide users and application developers with a simple and robust environment enabling them to produce applications that can exploit the full power and possibilities of the Grid. The GridLab project brings together computer scientists with computational scientists from various application areas to design and implement a Grid Application Toolkit (GAT), together with a set of Grid services, in a production grid environment.

G. Truhlar, editors, Advances in Chemical Physics series, Wiley, New York, 1997. 7. asp. 8. org. 9. E. Korpela, D. Werthimer, D. Anderson, J. Cobb, and M. Lebofsky, “SETI@homeMassively distributed computing for SETI,” Computing in Science and Engineering, v3n1, 81, 2001. 10. C. Robach, and A. Guran, “Basic Concepts & Advances in FaultTolerant Computing Design,” World Scientific Publishing Company, 1998. 11. M. Mascagni, D. Ceperley, and A. Srinivasan, “SPRNG: A Scalable Library for Pseudorandom Number Generation,” ACM Transactions on Mathematical Software, in the press, 2000.

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