Title
Adjacent-MBU-Tolerant SEC-DED-TAEC-yAED Codes for Embedded SRAMs
Abstract
As technology scaling increases embedded static random access memory bit-cell density, the number of soft errors due to radiation-induced multiple-bit upsets (MBUs) also increases. Traditionally, these errors have been addressed using a simple error correction code (ECC) combined with word interleaving. With continued scaling, however, errors beyond this setup begin to emerge. Although more powerful ECCs exist, they come at an increased overhead in terms of area and latency. Additionally, interleaving adds complexity to the system and may not always be feasible for the given architecture. In this brief, a set of double adjacent error correction (DAEC) codes is modified to provide triple adjacent error correction for a cost of zero additional check-bits over the code's DAEC equivalent, yielding a 2.25× reduction in bit-level soft error rate for a 22-nm MBU error channel model. MATLAB simulation and HDL synthesis results are included for standard 16- and 32-data-bit memory word sizes and compared against existing codes.
Year
DOI
Venue
2015
10.1109/TCSII.2014.2368262
Circuits and Systems II: Express Briefs, IEEE Transactions  
Keywords
Field
DocType
sram chips,circuit simulation,error correction codes,mathematics computing,radiation hardening (electronics),hdl synthesis,matlab simulation,adjacent error correction,double adjacent error correction codes,embedded srams,radiation-induced multiple-bit upsets,soft errors,word interleaving,error correction codes (eccs),memories,multiple bit upsets (mbu),multiple-bit upsets (mbu),decoding,very large scale integration,error correction,encoding
Soft error,MBus,Computer science,Parallel computing,Arithmetic,Error detection and correction,Static random-access memory,Electronic engineering,Decoding methods,Very-large-scale integration,Interleaving,Encoding (memory)
Journal
Volume
Issue
ISSN
62
4
1549-7747
Citations 
PageRank 
References 
8
0.58
8
Authors
3
Name
Order
Citations
PageRank
Adam Neale1102.00
Maarten Jonkman280.58
Manoj Sachdev366988.45