Wattch: a framework for architectural-level power analysis and optimizations
Proceedings of the 27th annual international symposium on Computer architecture
A static power model for architects
Proceedings of the 33rd annual ACM/IEEE international symposium on Microarchitecture
Memory power models for multilevel power estimation and optimization
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Design Challenges of Technology Scaling
IEEE Micro
IDAP: a tool for high-level power estimation of custom array structures
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Proceedings of the conference on Design, automation and test in Europe
Proceedings of the 2007 IEEE/ACM international conference on Computer-aided design
DRAM power management and energy consumption: a critical assessment
Proceedings of the 22nd Annual Symposium on Integrated Circuits and System Design: Chip on the Dunes
Reducing SRAM power using fine-grained wordline pulsewidth control
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Misleading energy and performance claims in sub/near threshold digital systems
Proceedings of the International Conference on Computer-Aided Design
A hybrid and adaptive model for predicting register file and SRAM power using a reference design
Proceedings of the 49th Annual Design Automation Conference
Power Modeling and Characterization of Computing Devices: A Survey
Foundations and Trends in Electronic Design Automation
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We propose an accurate architecture-level power estimation method for SRAM memories. This hybrid method is composed of an analytical part for dynamic power estimation and a circuit-simulation backend used to obtain static leakage power values of all basic memory components. The method is flexible in that memory size is an arbitrary parameter. In a comparison to circuit-level simulations (Hspice) of complete 2 KBytes and 8 KBytes 6T-SRAM memories implemented both in 0.13-ìm and 65-nm (BPTM) bulk CMOS processes, the proposed method shows a high accuracy in estimating leakage power.