Publication Type:

Conference Paper

Source:

2017 International Conference on Computer Communication and Informatics, ICCCI 2017, Institute of Electrical and Electronics Engineers Inc. (2017)

ISBN:

9781467388542

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041447255&doi=10.1109%2fICCCI.2017.8117768&partnerID=40&md5=808725b204f52ac7031ccbc42423131e

Keywords:

Code rates, Critical issues, Data storage equipment, Decoding, diagonal, Error correction, Error detection, Errors, External radiation, parity, Radiation hardening, Reliability, Signal encoding, Single error corrections, Soft error, Soft error detection

Abstract:

<p>External radiations create soft errors which are turning into an undeniable critical issue. Customarily, Single Error Correction (SEC) code which can detect and correct 1-bit error per memory word is used to rectify soft errors. As errors turn out to be more common, the SEC methodology becomes inefficient. In this paper, Horizontal-Vertical Parity and Diagonal Hamming (HVPDH) method is proposed for detection of up to 8-bit errors and correction of 1-bit error, all combinations of 2-bit errors and most combinations of 3, 4 and 5-bit errors for memories. The aim here is to incorporate an encoder and decoder which will be effective in detecting and correcting errors. The encoder and decoder use three parity sets, namely horizontal, vertical and grouped diagonal Hamming parities. As per the analysis, higher code rate is achieved by using HVPDH method in memories when compared to the existing methods. © 2017 IEEE.</p>

Notes:

cited By 0; Conference of 7th International Conference on Computer Communication and Informatics, ICCCI 2017 ; Conference Date: 5 January 2017 Through 7 January 2017; Conference Code:132680

Cite this Research Publication

P. Raha, Vinodhini, M., and Murty, N. S., “Horizontal-vertical parity and diagonal hamming based soft error detection and correction for memories”, in 2017 International Conference on Computer Communication and Informatics, ICCCI 2017, 2017.

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