Work

Data Dependent Energy Modeling for Worst Case Energy Consumption Analysis

Year: 2017

Type: conference-paper

Abstract: 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.

Source: International Workshop on Software and Compilers for Embedded Systems (SCOPES)

DOI: 10.1145/3078659.3078666

Authors: James Pallister, Steve Kerrison, Jeremy Morse, Kerstin Eder

Institution: University of Bristol

Language: English

Topic: Real-Time Systems Scheduling

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: green

Funders: European Commission, Seventh Framework Programme