Data Dependent Energy Modeling for Worst Case Energy Consumption Analysis
James Pallister, Steve Kerrison, Jeremy Morse, Kerstin Eder · 2017
Safely meeting Worst Case Energy Consumption (WCEC) criteria requires accurate energy modeling of software. We investigate the impact of instruction operand values upon energy consumption in cacheless embedded processors. Existing instruction-level energy models typically use measurements from random input data, providing estimates unsuitable for safe WCEC analysis.