GSRC Student Profile:
Eric Kim
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University of Illinois at Urbana‑Champaign
Advisor: Naresh Shanbhag
GSRC theme: alternatives
Expected graduation: Aug, 2012 |
Research Overview: Soft NMR
Achieving energy-efficiency in nanoscale CMOS process technologies is made challenging due to the presence of process, temperature and voltage variations. Soft N-modular redundancy (soft NMR) consciously exploits statistics of errors due to these nanoscale artifacts in order to design robust and energy-efficient systems. In contrast to conventional NMR, soft NMR employs estimation and detection techniques in the voter. Comparing simulations of NMR and soft NMR in the design of an energy-efficient and robust discrete cosine transform (DCT) image coder in a commercial 45nm, 1:2V, CMOS process show that soft triple-MR (TMR) provides 10X improvement in robustness and 13% power savings over TMR at a peak signal-to-noise ratio (PSNR) of 20dB. In addition, soft dual-MR (DMR) provides 2X improvement in robustness and 35% power savings over TMR at a PSNR of 20dB.
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