Title :
Stochastic Networked Computation
Author :
Varatkar, Girish Vishnu ; Narayanan, Sriram ; Shanbhag, Naresh R. ; Jones, Douglas L.
Author_Institution :
Coordinated Sci. Lab., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
Abstract :
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.
Keywords :
CMOS integrated circuits; code division multiple access; energy conservation; probability; statistical analysis; stochastic processes; system-on-chip; CMOS process; SNC-based architecture; detection probability; energy efficient system-on-chip; false alarm rate; nanoscale process technology; pseudonoise code acquisition system; size 130 nm; statistical estimation problem; stochastic networked computation; wireless CDMA2000 standard; CMOS process; CMOS technology; Computational modeling; Computer architecture; Computer networks; Energy efficiency; Probability; Robustness; Stochastic processes; Stochastic systems; Code division multiple access (CDMA); low power; nanoscale; process variations; reliability; robust; soft errors; stochastic;
Journal_Title :
Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
DOI :
10.1109/TVLSI.2009.2024673