实时网络的神经调度

[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume II: Software Track Pub Date : 1989-01-03 DOI:10.1109/HICSS.1989.48071

T. Ae, M. Yamashita, Kumiko Nitta

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引用次数: 1

摘要

实时系统的调度问题是一个难以处理的问题，在大多数情况下是NP-hard或完全NP。在硬实时环境下，引入神经计算技术在有限时间内求解该问题。虽然多处理机可以有效地完成神经网络计算，但设计了一个特殊的处理机来实现无开销的调度结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Neural scheduler for real-time networks

Scheduling problem for real-time systems is known to be intractable, i.e. NP-hard or completely NP for most cases. A neural computation technique is introduced to solve it within a limited time under a hard real-time environment. Although the neural computation can be effectively carried out by a multiprocessor, a special processor is designed to obtain the scheduled result with no overhead.<>

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[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume II: Software Track

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