Energy-efficient soft error-tolerant digital signal processing

  • Authors:
  • Byonghyo Shim;Naresh R. Shanbhag

  • Affiliations:
  • Qualcomm Inc., San Diego, CA and University of Illinois at Urbana-Champaign, Urbana, IL;Coordinated Science Laboratory, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL

  • Venue:
  • IEEE Transactions on Very Large Scale Integration (VLSI) Systems
  • Year:
  • 2006

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Abstract

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 Per = 10-2 and Per = 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.