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  Data Description Via a Generalized Fiber Bundle Data Model

Benger, W., Hege, H.-C., Radke, T., & Seidel, E. (2001). Data Description Via a Generalized Fiber Bundle Data Model. In I. C. S. T. C. o. D. Processing (Ed.), Proceedings / Tenth International Symposium on High Performance Distributed Computing. Los Alamitos, Calif.: IEEE Computer Society.

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HPDC10_2001_Fiber.pdf (Any fulltext), 258KB
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 Creators:
Benger, Werner1, Author
Hege, Hans-Christian, Author
Radke, Thomas2, Author           
Seidel, Edward1, Author
Affiliations:
1Cactus Group, AEI-Golm, MPI for Gravitational Physics, Max Planck Society, ou_67202              
2Astrophysical Relativity, AEI-Golm, MPI for Gravitational Physics, Max Planck Society, ou_24013              

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 Abstract: Advanced applications in a metacomputing environment need to communicate semantic information in addition to raw data. This requires a suitable data model, appropriate concepts on how to exchange data objects, as well as corresponding I/O layers and communication protocols. In this paper a data model is presented, providing a conceptual base for the design of generalized grid operations and semantics aware I/O layers. With this model, code redundancies can be immensely reduced and high reusability of algorithms is ensured. It is inspired by the mathematical theory of fiber bundles and generalized to the concept of index spaces. The presented concepts allow us to formulate data properties and relationships among data objects in a powerful and widely usable way. A wide range of data types, like 3D uniform grids, particle trajectories, triangular surfaces, expansion coefficients, can be covered. The HDF 5 API and XML can be used to realize fully capable I/O layers. By employing HDF 5 virtual file drivers remote I/O of persistent and volatile data is easily achieved, in addition to local file I/O.

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Language(s): eng - English
 Dates: 2001
 Publication Status: Issued
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 Rev. Type: -
 Identifiers: eDoc: 3190
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Title: 10th IEEE International Symposium on High Performance Distributed Computing
Place of Event: San Francisco
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Title: Proceedings / Tenth International Symposium on High Performance Distributed Computing
Source Genre: Proceedings
 Creator(s):
Processing, IEEE Computer Society Technical Committee on Distributed, Editor
Affiliations:
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Publ. Info: Los Alamitos, Calif. : IEEE Computer Society
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