TY - GEN
T1 - Toward limits of constructing reliable memories from unreliable components
AU - Varshney, Lav R.
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/12/17
Y1 - 2015/12/17
N2 - There has been long-standing interest in constructing reliable memory systems from unreliable components like noisy bit-cells and noisy logic gates, under circuit complexity constraints. Prior work has focused exclusively on constructive achievability results, but here we develop converse theorems for this problem for the first time. The basic technique relies on entropy production/dissipation arguments and balances the need to dissipate entropy with the redundancy of the code employed. A bound from the entropy dissipation capability of noisy logic gates is used via a sphere-packing argument. Although a large gap remains between refined achievability results stated herein and the converse, some suggestions for ways to move forward beyond this first step are provided.
AB - There has been long-standing interest in constructing reliable memory systems from unreliable components like noisy bit-cells and noisy logic gates, under circuit complexity constraints. Prior work has focused exclusively on constructive achievability results, but here we develop converse theorems for this problem for the first time. The basic technique relies on entropy production/dissipation arguments and balances the need to dissipate entropy with the redundancy of the code employed. A bound from the entropy dissipation capability of noisy logic gates is used via a sphere-packing argument. Although a large gap remains between refined achievability results stated herein and the converse, some suggestions for ways to move forward beyond this first step are provided.
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U2 - 10.1109/ITWF.2015.7360745
DO - 10.1109/ITWF.2015.7360745
M3 - Conference contribution
AN - SCOPUS:84962733255
T3 - ITW 2015 - 2015 IEEE Information Theory Workshop
SP - 114
EP - 118
BT - ITW 2015 - 2015 IEEE Information Theory Workshop
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE Information Theory Workshop, ITW 2015
Y2 - 11 October 2015 through 15 October 2015
ER -