Robust interfaces for mixed-timing systems with application to latency-insensitive protocols
Proceedings of the 38th annual Design Automation Conference
Subthreshold leakage modeling and reduction techniques
Proceedings of the 2002 IEEE/ACM international conference on Computer-aided design
Statistical estimation of leakage current considering inter- and intra-die process variation
Proceedings of the 2003 international symposium on Low power electronics and design
Convex Optimization
Adjustable robust solutions of uncertain linear programs
Mathematical Programming: Series A and B
ISQED '05 Proceedings of the 6th International Symposium on Quality of Electronic Design
Modeling Within-Die Spatial Correlation Effects for Process-Design Co-Optimization
ISQED '05 Proceedings of the 6th International Symposium on Quality of Electronic Design
Robust extraction of spatial correlation
Proceedings of the 2006 international symposium on Physical design
Proceedings of the 2006 IEEE/ACM international conference on Computer-aided design
A statistical framework for post-silicon tuning through body bias clustering
Proceedings of the 2006 IEEE/ACM international conference on Computer-aided design
Voltage-frequency island partitioning for GALS-based networks-on-chip
Proceedings of the 44th annual Design Automation Conference
Mitigating Parameter Variation with Dynamic Fine-Grain Body Biasing
Proceedings of the 40th Annual IEEE/ACM International Symposium on Microarchitecture
Variability-driven module selection with joint design time optimization and post-silicon tuning
Proceedings of the 2008 Asia and South Pacific Design Automation Conference
Process variation aware performance modeling and dynamic power management for multi-core systems
Proceedings of the International Conference on Computer-Aided Design
Recovery-based design for variation-tolerant SoCs
Proceedings of the 49th Annual Design Automation Conference
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Adaptive Body Biasing (ABB) is a popularly used technique to mitigate the increasing impact of manufacturing process variations on leakage power dissipation. The efficacy of the ABB technique can be improved by partitioning a design into a number of "body-bias islands," each with its individual body-bias voltage. In this paper, we propose a system-level leakage variability mitigation framework to partition a multiprocessor system into body-bias islands at the processing element (PE) granularity at design time, and to optimally assign body-bias voltages to each island post-fabrication. As opposed to prior gate- and circuit-level partitioning techniques that constrain the global clock frequency of the system, we allow each island to run at a different speed and constrain only the relevant system performance metrics - in our case the execution deadlines. Experimental results show the efficacy of the proposed framework in reducing the mean and standard deviation of leakage power dissipation compared to a baseline system without ABB. At the same time, the proposed techniques provide significant runtime improvements over a previously proposed Monte-Carlo based technique while providing similar reductions in leakage power dissipation.