---
title: "NON-VONs Applicability to Three AI Task Areas"
authors:
  - "David E. Shaw"
doi: ""
url: "https://ijcai.org/proceedings/1985/13"
pdf: "https://ijcai.org/proceedings/1985/0013.pdf"
venue: "Proceedings of the Ninth International Joint Conference on Artificial Intelligence"
year: 1985
pages: "61-71"
track: "AI Architectures"
keywords:
---

# NON-VONs Applicability to Three AI Task Areas

David E. Shaw

*Proceedings of the Ninth International Joint Conference on Artificial Intelligence*, pages 61-71.

## Abstract

NON-VON 1s a massively parallel machine constructed using custom VLSI chips, each containing a number of simple processing elements. A preliminary prototype is now operational at Columbia University . The machine is mtended to provide highly efficient support for a wide range of artificial intelligence and other symbolic applications . This paper briefly d es cribes the current verswn of the NON-VON machine and presents evidence for its applicability to the execution of OPS5 production systems, a number of low- and intermediate-level computer vision tasks, and certain "difficult" relational algebraic operations relevant to knowledge base management . Analytic and simulation results are presented for a number of algorithms . The data suggest that NON-VON could provide a performance improvement of as much as two to three orders of magnitude over a conventional sequential machine for a wide range of AI tasks.