983 resultados para Kernel of Extendable Language of Applied Logic
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Hardware/Software partitioning (HSP) is a key task for embedded system co-design. The main goal of this task is to decide which components of an application are to be executed in a general purpose processor (software) and which ones, on a specific hardware, taking into account a set of restrictions expressed by metrics. In last years, several approaches have been proposed for solving the HSP problem, directed by metaheuristic algorithms. However, due to diversity of models and metrics used, the choice of the best suited algorithm is an open problem yet. This article presents the results of applying a fuzzy approach to the HSP problem. This approach is more flexible than many others due to the fact that it is possible to accept quite good solutions or to reject other ones which do not seem good. In this work we compare six metaheuristic algorithms: Random Search, Tabu Search, Simulated Annealing, Hill Climbing, Genetic Algorithm and Evolutionary Strategy. The presented model is aimed to simultaneously minimize the hardware area and the execution time. The obtained results show that Restart Hill Climbing is the best performing algorithm in most cases.
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"UILU-ENG 79 1714."
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Vita.
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Mode of access: Internet.
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Includes index.
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Mode of access: Internet.
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Mode of access: Internet.
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"A compilation of many of the most valuable instruction books of the American school of correspondence."--Forword.
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"Members": v. 28, p. 365-463.
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Edited by Sir William Ramsay, William Macnab, and others.
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Mode of access: Internet.
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Contains bibliographies.
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Mode of access: Internet.