Component-based computation-energy modeling for embedded systems

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

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Abstrakt

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.

OriginalsprogEngelsk
TitelProceedings Companion of the 2019 ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications : Software for Humanity
RedaktørerYannis Smaragdakis
Udgivelses stedNew York, NY, USA
ForlagAssociation for Computing Machinery
Publikationsdato20. okt. 2019
Sider5-6
ISBN (Trykt)978-1-4503-6992-3
DOI
StatusUdgivet - 20. okt. 2019
BegivenhedACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications : Software for Humanity - Athen, Grækenland
Varighed: 20. okt. 201925. okt. 2019

Konference

KonferenceACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications
LandGrækenland
ByAthen
Periode20/10/201925/10/2019

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