Hybrid simulation for embedded software energy estimation

Abstract

Software energy estimation is a critical step in the design of energyefficient embedded systems. Instruction-level simulation techniques, despite several advances, remain too slow for iterative use in systemlevel 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 targetdependent 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.

Cycle-accurate performance modelling in an ultra-fast just-in-time dynamic binary translation instruction set simulator

“…Finally, only a very few benchmarks have been evaluated. A similar hybrid approach targeting software energy estimation has been proposed earlier in [19,20].…”