IXM2:用于语义网络处理的并行关联处理器——初步评估

[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence Pub Date : 1990-11-06 DOI:10.1109/TAI.1990.130418

Tetsuya Higuchi, T. Furuya, Ken'ichi Handa, A. Kokubu

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引用次数: 4

摘要

作者描述了一种用于人工智能应用的关联并行处理器IXM2，它使用网络结构化数据(例如，语义网络)。IXM2由64个关联处理器和9个网络处理器组成，总共有256 Kwords × 40比特的关联内存。IXM2采用了一种基于完全连接的新型互联机制，实现了高通信带宽和更大系统的可扩展性。研究表明，联想记忆在抑制大型语义网络处理中的计算爆炸方面非常有效。算术和逻辑运算也可以在联想存储器的所有单词上并行进行，例如，“小于”运算可以达到7200 MOPS。

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IXM2: a parallel associative processor for semantic net processing-preliminary evaluation

The authors describe an associative parallel processor, IXM2, for artificial-intelligence applications, using network structured data (e.g., a semantic network). IXM2 consists of 64 associative processors and nine network processors, having a total of 256 Kwords by 40 bits of associative memory. IXM2 uses a novel interconnection mechanism based on complete connection, realizing both high communication bandwidth and expansibility into a larger system. It is shown that associative memory is very effective in suppressing the computational explosion in large semantic network processing. Arithmetic and logical operations can also be done in parallel on all the words of associative memory, for example, achieving 7200 MOPS for the 'less than' operation.<>

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[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence

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