Component-based computation-energy modeling for embedded systems

Adam Seewald*, Ulrik Pagh Schultz, Julius Roeder, Benjamin Rouxel, Clemens Grelck

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsResearchpeer-review

Abstract

Computational energy–efficiency is a critical aspect of many modern embedded devices as it impacts the level of autonomy for numerous scenarios. We present a component–based energy modeling approach to abstract per–component energy in a dataflow computational network executed according to a given scheduling policy. The approach is based on a modeling tool and ultimately relies on battery state to support a wider range of energy–optimization strategies for power–critical devices.

Original languageEnglish
Title of host publicationProceedings Companion of the 2019 ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications : Software for Humanity
EditorsYannis Smaragdakis
Place of PublicationNew York, NY, USA
PublisherAssociation for Computing Machinery
Publication date20. Oct 2019
Pages5-6
ISBN (Print)978-1-4503-6992-3
DOIs
Publication statusPublished - 20. Oct 2019
EventACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications : Software for Humanity - Athen, Greece
Duration: 20. Oct 201925. Oct 2019

Conference

ConferenceACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications
CountryGreece
CityAthen
Period20/10/201925/10/2019

Keywords

  • Component-Based Development
  • Embedded Platforms
  • Energy Modeling
  • Energy Profiling

Fingerprint Dive into the research topics of 'Component-based computation-energy modeling for embedded systems'. Together they form a unique fingerprint.

Cite this