A Multi-Granularity Power Modeling Methodology for Embedded Processors

作者：Park Young Hwan^*; Pasricha Sudeep; Kurdahi Fadi J; Dutt Nikil

来源：IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2011, 19(4): 668-681.

DOI：10.1109/TVLSI.2009.2039153

• Digital systems
• embedded processor performance
• embedded processor power estimation
• multi-granularity levels

With power becoming a major constraint for multiprocessor embedded systems, it is becoming important for designers to characterize and model processor power dissipation. It is critical for these processor power models to be useable across various modeling abstractions in an electronic system level (ESL) design flow, to guide early design decisions. In this paper, we propose a unified processor power modeling methodology for the creation of power models at multiple granularity levels that can be quickly mapped to an ESL design flow. Our experimental results based on applying the proposed methodology on the OpenRISC and MIPS processors demonstrate the usefulness of having multiple power models. The generated models range from very high-level two-state and architectural/instruction set simulator models that can be used in transaction level models, to extremely detailed cycle-accurate models that enable early exploration of power optimization techniques. These models offer a designer tremendous flexibility to trade off estimation accuracy with estimation/simulation effort.

• 出版日期2011-4