We present an algorithmic noise-tolerance (ANT) technique for designing low-power DSP systems. The proposed technique achieves substantial energy saving via voltage overscaling, whereby the supply voltage is scaled beyond the minimum supply voltage Vdd-crit at which the architecture operates correctly for a given throughput specification. The resulting input-dependent soft errors are corrected via low-complexity error canceller and hence is referred to as adaptive error-cancellation. The trade-off between energy savings and algorithmic performance is illustrated by employing a reduced-order least mean square (LMS) algorithm to compensate for the design overhead. Simulation results in a 0.35μm CMOS technology demonstrate that the proposed technique achieves up to 73% energy savings in a multiuser communication scenario over present-day voltage-scaling, with a 3dB algorithmic performance loss. Moreover, a 40% energy reduction is obtained over conventional DSP systems without algorithmic performance degradation.
|Original language||English (US)|
|Number of pages||10|
|Journal||IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation|
|State||Published - Dec 1 2000|
|Event||2000 IEEE Workshop on Signal Processing Systems (SIPS 2000) - Lafayette, LA, USA|
Duration: Oct 11 2000 → Oct 13 2000
ASJC Scopus subject areas