We propose a new approach to RT-level power modeling for combinational macros, that does not require simulationbased characterization.Apattern-dependent power model for a macro is analytically constructed using only structural information about its gate-level implementation. The approach has three main advantages over traditional techniques: i# it provides models whose accuracy does not depend on input statistics, ii# it o#ers a wide range of tradeo # between accuracy and complexity, and iii# it enables the construction of pattern-dependent conservative upper bounds
RTL power macromodeling is a mature research topic with a variety of equation and table-based approa...
To characterize a macrocell, a general method is to store the power consumption of all possible tran...
Although RTL power macromodeling is a mature research topic, it is not yet broadly accepted in the i...
We propose a new power macromodel for usage in the context of register-transfer level (RTL) power es...
We propose a new RTL power macromodel that is suitable for re-configurable, synthesizable soft-macro...
Abstract In this paper we present a methodology and techniques for generating cycle-accurate macro-m...
Behavioral power estimation is required to help the designer in making important architectural choic...
In this paper, we present a new analytical macro-modeling technique for high-level power estimation....
Most power macromodels for RTL datapath modules are both data-dependent and activity-sensitive, that...
Abstract—In this paper, we propose a robust register-transfer level (RTL) power modeling methodology...
Register-transfer level (RTL) power estimation is a key feature for synthesis-based design flows. Th...
This paper presents a new macromodeling technique for high-level power estimation. Our technique is ...
This paper presents novel techniques for the cycle-accurate power macro-modeling of complex RTL comp...
In this paper, we propose a novel power macromodeling technique for high level power estimation base...
Abstract—Despite its maturity, RTL power macromodeling is not yet widely accepted as a de facto indu...
RTL power macromodeling is a mature research topic with a variety of equation and table-based approa...
To characterize a macrocell, a general method is to store the power consumption of all possible tran...
Although RTL power macromodeling is a mature research topic, it is not yet broadly accepted in the i...
We propose a new power macromodel for usage in the context of register-transfer level (RTL) power es...
We propose a new RTL power macromodel that is suitable for re-configurable, synthesizable soft-macro...
Abstract In this paper we present a methodology and techniques for generating cycle-accurate macro-m...
Behavioral power estimation is required to help the designer in making important architectural choic...
In this paper, we present a new analytical macro-modeling technique for high-level power estimation....
Most power macromodels for RTL datapath modules are both data-dependent and activity-sensitive, that...
Abstract—In this paper, we propose a robust register-transfer level (RTL) power modeling methodology...
Register-transfer level (RTL) power estimation is a key feature for synthesis-based design flows. Th...
This paper presents a new macromodeling technique for high-level power estimation. Our technique is ...
This paper presents novel techniques for the cycle-accurate power macro-modeling of complex RTL comp...
In this paper, we propose a novel power macromodeling technique for high level power estimation base...
Abstract—Despite its maturity, RTL power macromodeling is not yet widely accepted as a de facto indu...
RTL power macromodeling is a mature research topic with a variety of equation and table-based approa...
To characterize a macrocell, a general method is to store the power consumption of all possible tran...
Although RTL power macromodeling is a mature research topic, it is not yet broadly accepted in the i...