IXM2: a parallel associative processor for knowledge processing

Authors:
Tetsuya Higuchi;Hiroaki Kitano;Tatsumi Furuya;Ken-ichi Handa;Naoto Takahashi;Akio Kokubu
Affiliations:
Electrotecbnical Laboratory, Tsukuba, Ibaraki, Japan;Carnegie Mellon University, Center for Machine Translation, Pittsburgh, PA;Electrotecbnical Laboratory, Tsukuba, Ibaraki, Japan;Electrotecbnical Laboratory, Tsukuba, Ibaraki, Japan;University of Tsukuba, Tsukuba, Ibaraki, Japan;Electrotecbnical Laboratory, Tsukuba, Ibaraki, Japan
Venue:
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 1
Year:
1991

Citing 4
Cited 0

Flexible semantic networks for knowledge representation

Journal of Information Processing
IXM2: a parallel associative processor

ISCA '91 Proceedings of the 18th annual international symposium on Computer architecture
Content Addressable Parallel Processors

Content Addressable Parallel Processors
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project

Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes a parallel associative processor, IXM2, developed mainly for semantic network processing. IXM2 consists of 64 associative processors and 9 network processors having a total of 256K words of associative memory. The large associative memory enables 65,536 semantic network nodes to be processed in parallel and reduces the order of algorithmic complexity to O(1) in basic semantic net operations. We claim that intensive use of associative memory provides far superior performance in carrying out the basic operations necessary for semantic network processing: intersection, marker-propagation, and arithmetic operations.