Stochastic networked computation

IEEE Transactions on Very Large Scale Integration (VLSI) Systems(2010)

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摘要
In this paper, the stochastic networked computation (SNC) paradigm for designing robust and energy-efficient systems-on-a-chip in nanoscale process technologies, where robust computation is treated as a statistical estimation problem is presented. The benefits of SNC are demonstrated by employing it to design an energy-efficient and robust pseudonoise-code acquisition system for the wireless CDMA2000 standard (http://www.3gpp2.org). Simulations in IBM's 130-nm CMOS process show that the SNC-based architecture enhances the average probability of detection (PDet) in the presence of process variations by two to three orders of magnitude, reduces power by 31%-39%, and reduces the variation in (PDet) by one to two orders of magnitude at a typical false-alarm rate of 5% over a conventional architecture. SNC performance in the presence of voltage overscaling and across technology nodes (90, 65, 45, and 32 nm) is also studied.
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关键词
nanoscale process technology,130-nm cmos process show,snc performance,energy-efficient systems-on-a-chip,stochastic networked computation,process variation,robust pseudonoise-code acquisition system,conventional architecture,robust computation,snc-based architecture,sensors,system on a chip,stochastic processes,cmos integrated circuits,energy efficient,reliability,stochastic,system on chip,computer architecture,robustness,probability of detection,code division multiple access,soft error,false alarm rate,energy conservation,statistical analysis,probability,noise,hardware,nanoscale
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