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Summary: An Associative Memory Architecture for
Concurrent Production Systems
Jos'e Nelson Amaral \Lambda and Joydeep Ghosh
(nelson@pine.ece.utexas.edu, ghosh@pine.ece.utexas.edu)
Department of Electrical and Computer Engineering,
University of Texas at Austin,
Austin, Texas 78712
Abstract
This paper presents a novel parallel architecture
for production systems. It relies on modern asso
ciative memory techniques to construct an envi
ronment in which productions can be fired in par
allel even before the actions of previously fired
productions are fully processed. This approach
is made possible by the use of the serializabil
ity criterion for correctness. An approximate so
lution for the rule partitioning problem is pre
sented. Measurements of speedup obtained from
a detailed eventdriven simulator indicate the po
tential of this new architecture.
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