Register allocation and binding for low power
DAC '95 Proceedings of the 32nd annual ACM/IEEE Design Automation Conference
MediaBench: a tool for evaluating and synthesizing multimedia and communicatons systems
MICRO 30 Proceedings of the 30th annual ACM/IEEE international symposium on Microarchitecture
McPOWER: a Monte Carlo approach to power estimation
ICCAD '92 Proceedings of the 1992 IEEE/ACM international conference on Computer-aided design
A super-scheduler for embedded reconfigurable systems
Proceedings of the 2001 IEEE/ACM international conference on Computer-aided design
The scaling challenge: can correct-by-construction design help?
Proceedings of the 2003 international symposium on Physical design
Effective graph theoretic techniques for the generalized low power binding problem
Proceedings of the 2003 international symposium on Low power electronics and design
Voltage scheduling under unpredictabilities: a risk management paradigm
Proceedings of the 2003 international symposium on Low power electronics and design
Placement Method Targeting Predictability Robustness and Performance
Proceedings of the 2003 IEEE/ACM international conference on Computer-aided design
A Probabilistic Approach to Buffer Insertion
Proceedings of the 2003 IEEE/ACM international conference on Computer-aided design
Empirical models for net-length probability distribution and applications
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Voltage scheduling under unpredictabilities: a risk management paradigm
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Variability inspired implementation selection problem
Proceedings of the 2004 IEEE/ACM International conference on Computer-aided design
Simultaneous floorplanning and resource binding: a probabilistic approach
Proceedings of the 2005 Asia and South Pacific Design Automation Conference
Effective techniques for the generalized low-power binding problem
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Power-driven simultaneous resource binding and floorplanning: a probabilistic approach
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
| Hi-index | 0.00 |
Predictability is the quantified from of accuracy. We propose a predictability driven design methodology. The novelty lies in defining and using the idea of predictability. In order to illustrate the basic concepts we focus on the low power binding problem. The binding problem for low power was solved in [3], [5], but in the presence of in-accuracies, their claims of optimality are imprecise. Our experiments show that these inaccuracies could be as high as 33%. Our methodology could improve this unpredictability to as low as 11% with minimal power penalty (7% on average).