DocumentCode
2786253
Title
Defect-Tolerant Nanocomputing Using Bloom Filters
Author
Wang, Gang ; Gong, Wenrui ; Kastner, Ryan
Author_Institution
Dept. of ECE, California Univ., Santa Barbara, CA
fYear
2006
fDate
24-26 April 2006
Firstpage
277
Lastpage
278
Abstract
The authors 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. The 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
Keywords
data structures; fault tolerant computing; manufacturing processes; nanoelectronics; Bloom filters; defect identification; defect mapping; defect-tolerant nanocomputing; device redundancy; manufacturing process; nanoscale computing devices; specific nanoscale devices; Bridges; CMOS technology; Data structures; Design methodology; Error analysis; Filters; Manufacturing processes; Nanoscale devices; Redundancy; Voting;
fLanguage
English
Publisher
ieee
Conference_Titel
Field-Programmable Custom Computing Machines, 2006. FCCM '06. 14th Annual IEEE Symposium on
Conference_Location
Napa, CA
Print_ISBN
0-7695-2661-6
Type
conf
DOI
10.1109/FCCM.2006.35
Filename
4020918
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