Journal
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS
Volume 14, Issue 4, Pages 336-348Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TVLSI.2006.874359
Keywords
digital signal processing (DSP); low-power; reduced precision redundancy (RPR); reliability; soft error tolerance; triple modular redundancy (TMR)
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In this paper, we present energy-efficient soft error-tolerant techniques for digital signal processing (DSP) systems. The proposed technique, referred to as algorithmic soft error-tolerance (ASET), employs low-complexity estimators of a main DSP block to achieve reliable operation in the presence of soft errors. Three distinct ASET techniques-spatial,, temporal and spatio-temporal-are presented. For frequency selective finite-impulse response (FIR) filtering, it is shown that the proposed techniques provide robustness in the presence of soft error rates of up to P-er = 10(-2) and P-er = 10(-3) in a single-event upset scenario. The power dissipation of the proposed techniques ranges from 1.1 X to 1.7 X (spatial ASET) and 1.05 X to 1.17 X (spatio-temporal and temporal ASET) when the desired signal-to-noise ratio SNRdes = 25 dB. In comparison, the power dissipation of the commonly employed triple modular redundancy technique is 2.9 X.
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