ICMS:用于实时工程应用的智能细胞存储系统

Kam-Fai Wong
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引用次数: 0

摘要

人工智能(AI)技术在工程中的应用越来越受到关注。现有的人工智能系统由于其不可接受的实时响应和复杂性而不适合许多应用。提出了一种能够提高实时性能的智能单元存储系统(ICMS)。描述了一个使用专用位片处理器的ICMS的原型实现,该处理器在有限的分离时间内执行并行垃圾收集。该系统采用贝克算法的优化实现,以提供高速性能。它易于使用,灵活,便携,适用于需要快速响应时间的工程应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ICMS: an intelligent cell memory system for real-time engineering applications
There is a growing interest in the application of Artificial Intelligence (AI) techniques in engineering. Existing AI systems are not suitable for many applications because of their unacceptable real-time response and complexity. An intelligent cell memory system (ICMS) is proposed which is capable of providing improved real-time performance. A prototype implementation of ICMS using dedicated bit-slice processors which perform parallel garbage collection with bounded separation time is described. The system uses an optimised implementation of Baker's algorithm to give high speed performance. It is easy-to-use, flexible, portable and suitable for engineering applications where fast response time is required.
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