Negative-Bias Temperature Instability seriously affects nanoscale circuits reliability and performance. Continuous stress and increasing operating temperatures lead to device degradation and long-term system unavailability. The opportunity to optimize the duty-cycle of the stress/recovery phases to reduce Vth degradation leads to innovative research of reliability-oriented resources allocation at architectural level. This work explores the impact of different allocation strategies on the processor degradation, through a novel estimation methodology. Experimental results show that the proposed NBTI-aware allocation strategy can guarantee from 10% and up to 30% lower degradation compared to classical strategies, under different operating scenarios and under process variability.

NBTI Mitigation in Microprocessor Designs

CORBETTA, SIMONE;FORNACIARI, WILLIAM
2012-01-01

Abstract

Negative-Bias Temperature Instability seriously affects nanoscale circuits reliability and performance. Continuous stress and increasing operating temperatures lead to device degradation and long-term system unavailability. The opportunity to optimize the duty-cycle of the stress/recovery phases to reduce Vth degradation leads to innovative research of reliability-oriented resources allocation at architectural level. This work explores the impact of different allocation strategies on the processor degradation, through a novel estimation methodology. Experimental results show that the proposed NBTI-aware allocation strategy can guarantee from 10% and up to 30% lower degradation compared to classical strategies, under different operating scenarios and under process variability.
2012
GLSVLSI '12: Proceedings of the great lakes symposium on VLSI
9781450312448
Dynamic instruction scheduling; NBTI degradation
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/656744
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