Abstract
Grids aim to combine different kinds of computational resources connected by the Internet and make them easily available to a wide user community. While initial research focused on creating the enabling infra-structure, the challenge of programming the Grid has recently become increasingly important. The difficulties for application programmers lie in the highly heterogeneous and dynamic nature of Grid environments. We address this problem by employing reusable algorithmic patterns, called skeletons. Skeletons are used, in addition to the usual library functions, as generic algorithmic building blocks, customizable for particular applications. We describe an experimental Grid programming system, focusing on improving the Java RMI mechanism and the predictability of Java performance in a Grid environment.
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References
Foster, I., Kesselmann, C. (eds.): The Grid: Blueprint for a New Computing Infrastructure. Morgan Kaufmann, San Francisco (1998)
Casanova, H., Dongarra, J.: NetSolve: A network-enabled server for solving computational science problems. Int. J. of Supercomputing Applications and High Performance Computing 3, 212–223 (1997)
Wolski, R., Spring, N., Hayes, J.: The Network Weather Service: A distributed resource performance forecasting service for metacomputing. Journal of Future Generation Computing Systems 15, 757–768 (1999)
Kennedy, K., et al.: Toward a framework for preparing and executing adaptive grid programs. In: IPDPS 2002 (2002) (to appear)
Berman, F., et al.: The GrADS project: Software support for high-level Grid application development. Int. J. of High Performance Computing Applications 15, 327–344 (2001)
Matsuoka, S., Nakada, H., Sato, M., Sekiguchi, S.: Design issues of network enabled server systems for the grid. GridForum, APM WG whitepaper (2000)
Arnold, D., Agrawal, S., Blackford, S., Dongarra, J., Miller, M., Seymour, K., Sagi, K., Shi, Z., Vadhiyar, S.: Users’ Guide to NetSolve V1.4.1. Innovative Computing Dept. Technical Report ICL-UT-02-05, University of Tennessee, Knoxville, TN (2002)
Nakada, H., Sato, M., Sekiguchi, S.: Design and implementations of Ninf: towards a global computing infrastructure. FGCS 15, 649–658 (1999)
Alt, M., Bischof, H., Gorlatch, S.: Program Development for Computational Grids Using Skeletons and Performance Prediction. Parallel Processing Letters 12, 157–174 (2002)
Maassen, J., van Nieuwpoort, R., Veldema, R., Bal, H., Kielmann, T., Jacobs, C., Hofman, R.: Efficient Java RMI for parallel programming. ACM Transactions on Programming Languages and Systems (TOPLAS) 23, 747–775 (2001)
Philippsen, M., Haumacher, B., Nester, C.: More efficient serialization and RMI for Java. Concurrency: Practice and Experience 12, 495–518 (2000)
Meyer, J., Downing, T.: Java Virtual Machine. O’Reilly, Sebastopol (1997)
Hicklin, J., Moler, C., Webb, P., Boisvert, R.F., Miller, B., Pozo, R., Remington, K.: JAMA: A Java matrix package, http://math.nist.gov/javanumerics/jama/
Bate, I., Bernat, G., Murphy, G., Puschner, P.: Low-level analysis of a portable WCET analysis framework. In: 6th IEEE Real-Time Computing Systems and Applications (RTCSA2000), pp. 39–48 (2000)
Bernat, G., Burns, A., Wellings, A.: Portable Worst Case execution time analysis using Java Byte Code. In: Proc. 12th EUROMICRO conference on Real-time Systems (2000)
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Alt, M., Gorlatch, S. (2003). A Prototype Grid System Using Java and RMI. In: Malyshkin, V.E. (eds) Parallel Computing Technologies. PaCT 2003. Lecture Notes in Computer Science, vol 2763. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45145-7_38
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DOI: https://doi.org/10.1007/978-3-540-45145-7_38
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