Hybrid simulation for embedded software energy estimation

Anish Muttreja, Anand Raghunathan, Srivaths Ravi, Niraj Kumar Jha

Research output: Contribution to journalConference article

14 Scopus citations

Abstract

Software energy estimation is a critical step in the design of energy-efficient embedded systems. Instruction-level simulation techniques, despite several advances, remain too slow for iterative use in system-level exploration. In this paper, we propose a methodology called hybrid simulation, which combines instruction set simulation with selective native execution (execution of some parts of the program directly on the simulation host computer), thereby overcoming the disadvantages of instruction-level simulation (low speed) and pure native execution (estimation accuracy, inapplicability to target-dependent code), while exploiting their advantages. Previously developed techniques for software energy macromodeling are utilized to estimate energy consumption for natively executed sub-programs. We identify and address the main challenges involved in hybrid simulation, and present an automatic tool flow for it, which analyzes a given program and selects functions for native execution in order to achieve maximum estimation efficiency while limiting estimation error. We have applied the proposed hybrid simulation methodology to a variety of embedded software programs, resulting in an average speed-up of 70% and estimation error of at most 6%, compared to one of the fastest publicly-available instruction set simulators.

Original languageEnglish (US)
Article number3.3
Pages (from-to)23-26
Number of pages4
JournalProceedings - Design Automation Conference
StatePublished - Dec 1 2005
Event42nd Design Automation Conference, DAC 2005 - Anaheim, CA, United States
Duration: Jun 13 2005Jun 17 2005

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Control and Systems Engineering

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