A system-level energy minimization approach using datapath width optimization
ISLPED '01 Proceedings of the 2001 international symposium on Low power electronics and design
Simulation of Communication Systems: Modeling, Methodology and Techniques
Simulation of Communication Systems: Modeling, Methodology and Techniques
Proceedings of the 40th annual Design Automation Conference
Determining appropriate precisions for signals in fixed-point IIR filters
Proceedings of the 40th annual Design Automation Conference
Moment-Based Power Estimation in Very Deep Submicron Technologies
Proceedings of the 2003 IEEE/ACM international conference on Computer-aided design
Time Series Analysis and Its Applications (Springer Texts in Statistics)
Time Series Analysis and Its Applications (Springer Texts in Statistics)
Combined word-length optimization and high-level synthesis of digital signal processing systems
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Bitwidth cognizant architecture synthesis of custom hardware accelerators
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Dynamic range estimation for nonlinear systems
Proceedings of the 2004 IEEE/ACM International conference on Computer-aided design
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It has been widely recognized that the dynamic range information of an application can be exploited to reduce the datapath bitwidth of either processors or ASICs, and therefore the overall circuit area, delay and power consumption. While recent proposals of analytical dynamic range estimation methods have shown significant advantages over the traditional profiling-based method in terms of runtime, we argue that the rather simplistic treatment of input correlation may lead to significant error. We instead introduce a new analytical method based on a mathematical tool called Karhunen-Loeve Expansion (KLE), which enables the orthogonal decomposition of random processes. We show that when applied to linear systems, this method can not only lead to much more accurate result than previously possible, thanks to its capability to capture and propagate both spatial and temporal correlation, but also richer information than the value bounds previously produced, which enables the exploration of interesting trade-off between circuit performance and signal-to-noise ratio.