2002Unpublished venueRequires access

Hierarchical redundancy design for WSI neuro-processors

Nobuhiro Tomabechi

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Abstract

This paper proposes the hierarchical redundancy design for the defect recovery of wafer scale neuro-processors. The design combines both the circuit level redundancy and the system level redundancy. The hierarchical redundancy design results in that a neuro-processor composed of 500 neurons may be implemented on a single wafer with 27% increase of hardware and with sufficient yield.

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What this paper is about

This paper proposes the hierarchical redundancy design for the defect recovery of wafer scale neuro-processors. The design combines both the circuit level redundancy and the system level redundancy. The hierarchical redundancy design results in that a neuro-processor composed of 500 neurons may be implemented on a single wafer with 27% increase of hardware and with sufficient yield.

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Available abstract

This paper proposes the hierarchical redundancy design for the defect recovery of wafer scale neuro-processors. The design combines both the circuit level redundancy and the system level redundancy. The hierarchical redundancy design results in that a neuro-processor composed of 500 neurons may be implemented on a single wafer with 27% increase of hardware and with sufficient yield.

Key concepts: Redundancy (engineering), Wafer-scale integration, Computer science, Wafer, Computer architecture, Embedded system, Parallel computing, Computer hardware

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