Function-level power estimation methodology for microprocessors

Gang Qu, Naoyuki Kawabe, Kimiyoshi Usami, Miodrag Potkonjak

研究成果: Conference contribution

66 引用 (Scopus)


We have developed a function-level power estimation methodology for predicting the power dissipation of embedded software. For a given microprocessor core, we empirically build the 'power data bank', which stores the power information of the built-in library functions and basic instructions. To estimate the average power of an embedded software on this core, we first get the execution information of the target software from program profiling/tracing tools. Then we evaluate the total energy consumption and execution time based on the 'power data bank', and take their ratio as the average power. High efficiency is achieved because no power simulator is used once the 'power data bank' is built. We apply this method to a commercial microprocessor core and get power estimates with an average error of 3%. With this method, microprocessor vendors can provide users the 'power data bank' without releasing details of the core to help users get early power estimates and eventually guide power optimization.

ホスト出版物のタイトルProceedings - Design Automation Conference
出版物ステータスPublished - 2000
イベントDAC 2000: 37th Design Automation Conference - Los Angeles, CA, USA
継続期間: 2000 6 52000 6 9


OtherDAC 2000: 37th Design Automation Conference
Los Angeles, CA, USA


ASJC Scopus subject areas

  • Hardware and Architecture
  • Control and Systems Engineering


Qu, G., Kawabe, N., Usami, K., & Potkonjak, M. (2000). Function-level power estimation methodology for microprocessors. : Proceedings - Design Automation Conference (pp. 810-813). IEEE.