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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Adve, V. Browne, J. Ensink, B. Rice, J. Teller, P. Vernon, M. Wright, S. |
| Copyright Year | 2003 |
| Description | Author affiliation: Illinois Univ., IL, USA (Adve, V.) |
| Abstract | The method of lines is a widely used algorithm for solving parabolic partial differential equations that could benefit greatly from implementation on Grid computing environments. This paper outlines the issues involved in executing method-of-lines codes on a Grid and in developing model-driven adaptive control strategies for these codes. We have developed a parameterizable benchmark called MOL that captures a wide range of realistic method-of-lines codes. We are using this benchmark to develop performance models that can be used to achieve specific optimality criteria under the available (and dynamically varying) resources of a Grid environment, and under user-specified goals for solution error and computational rate-of-progress. We are developing a componentization strategy that can enable effective adaptive control of MOL, as well as language and compiler support that can simplify the development of adaptive distributed applications. If successful, this work should yield a much better understanding than we have at present of how an important class of parallel numerical applications can be executed effectively in a dynamic Grid environment. |
| Sponsorship | IEEE Comput. Soc Tech. Committee on Parallel Process. IEEE Comput. Soc. Tech. Committee on Comput. Archit. IEEE Comput. Soc. Tech. Committee on Distrib. Process. ACM SIGARCH |
| File Size | 298382 |
| File Format | |
| ISBN | 0769519261 |
| ISSN | 15302075 |
| DOI | 10.1109/IPDPS.2003.1213385 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-04-22 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Grid computing Adaptive control Adaptation model Partial differential equations Distributed computing Programmable control Adaptive systems Environmental management Power system management Power engineering and energy |
| Content Type | Text |
| Resource Type | Article |
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