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Online error detection in SRAM based FPGAs using Scalable Error Detection Coding

Authors: Zahid Ali Siddiqui; Jeong-A Lee;

Online error detection in SRAM based FPGAs using Scalable Error Detection Coding

Abstract

SRAM based devices are more susceptible to unidirectional errors when exposed to radiations. This paper presents an error detection scheme for detecting errors in SRAM cells of FPGA. This proposed Scalable Error Detection Coding (SEDC) scheme is capable of detecting 100% unidirectional errors. SEDC scheme partitions the data into segments of 2-, 3- and 4-bits data and encodes these segments using SEDC codes, in parallel fashion. The programming device generates the SEDC check bits and stores them on the FPGA's SRAM cells. A high speed, compact and easily scalable online SEDC check bit generator generates the SEDC check bits, which are compared with the pre-stored check bits during circuit operation. All unidirectional errors in SRAM cells, caused by cosmic radiations, are detected. The proposed technique achieves significant improvement in area as well as speed over Berger & simple TMR technique for the same application.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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