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14th Annual IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM'06)
Defect-Tolerant Nanocomputing Using Bloom Filters
Napa, California
April 24-April 26
ISBN: 0-7695-2661-6
Gang Wang, University of California, Santa Barbara
Wenrui Gong, University of California, Santa Barbara
Ryan Kastner, University of California, Santa Barbara
We propose a novel defect-tolerant design methodology using Bloom filters for defect mapping for nanoscale computing devices. It is a general approach that can be used for any permanent defects incurred during the manufacturing process. Our redundant design methodology does not rely on a voting strategy, thus it utilizes the device redundancy more effectively than existing approaches. Additionally, our method does not have false-positive in defect identification, i.e. it will not report a defective device as functional. Moreover, it is very space economic and can be programmed to fit different scales and characteristics of the underlying specific nanoscale devices used in the system.
Citation:
Gang Wang, Wenrui Gong, Ryan Kastner, "Defect-Tolerant Nanocomputing Using Bloom Filters," fccm, pp.277-278, 14th Annual IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM'06), 2006
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