| Autor: | Ranga S. Ramanujan, Howard Jay Siegel, John Budenske |
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| Rok vydání: | 1998 |
| Předmět: |
Class (computer programming)
Computer science Heuristic Distributed computing Symmetric multiprocessor system Theoretical Computer Science Set (abstract data type) Automatic target recognition Hardware and Architecture Application domain State (computer science) Line (text file) Software Information Systems |
| Zdroj: | The Journal of Supercomputing. 12:387-406 |
| ISSN: | 0920-8542 |
| DOI: | 10.1023/a:1008039908507 |
| Popis: | This study focuses on a particular application domain (iterative automatic target recognition tasks) and an associated specific class of dedicated heterogeneous parallel hardware platforms. For the computational environment considered, a methodology is presented for the on-line operating system to decide heuristically whether to perform a remapping of the application onto the platform based on information generated from input data by the application during execution. If the decision is to remap, the operating system will be able to select a mapping, which is appropriate for the given state of the application, from a stored set of mappings that were previously derived with an off-line heuristic. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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