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Details of Grant 

EPSRC Reference: GR/M46396/01
Title: ROPA: EFFICIENT VLSI ARCHITECTURES FOR INEXACT ASSOCIATIVE MEMORIES
Principal Investigator: Furber, Professor S B
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Department: Computer Science
Organisation: Victoria University of Manchester, The
Scheme: ROPA
Starts: 30 June 1999 Ends: 29 December 2001 Value (£): 102,064
EPSRC Research Topic Classifications:
VLSI Design
EPSRC Industrial Sector Classifications:
Electronics
Related Grants:
Panel History:  
Summary on Grant Application Form
Sequential processors are remarkably good at some tasks and remarkably poor at others. Many tasks in the second category can be described under the general heading of association-recognising similarities. Although alternative architectures such as neural networks have been proposed as efficient ways to implement inexact association, they have frequently not led to designs that match current VLSI technology well. The proposed research will investigate alternative ways to implement inexact association with the objective of making the best use of current technology.
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