Component-based computation-energy modeling for embedded systems

Adam Seewald; Ulrik Pagh Schultz; Julius Roeder; Benjamin Rouxel; Clemens Grelck

doi:10.1145/3359061.3362775

Component-based computation-energy modeling for embedded systems

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

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Publikation: Kapitel i bog/rapport/konference-proceeding › Konferenceabstrakt i proceedings › Forskning › peer review

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.

Originalsprog	Engelsk
Titel	Proceedings Companion of the 2019 ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications : Software for Humanity
Redaktører	Yannis Smaragdakis
Udgivelses sted	New York, NY, USA
Forlag	Association for Computing Machinery
Publikationsdato	20. okt. 2019
Sider	5-6
ISBN (Trykt)	978-1-4503-6992-3
DOI	https://doi.org/10.1145/3359061.3362775
Status	Udgivet - 20. okt. 2019
Begivenhed	ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications : Software for Humanity - Athen, Grækenland Varighed: 20. okt. 2019 → 25. okt. 2019

Konference

Konference	ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications
Land	Grækenland
By	Athen
Periode	20/10/2019 → 25/10/2019

Dokumenter og links

10.1145/3359061.3362775

https://adamseew.bitbucket.io/short/component2019

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1 Igangværende

EU H2020: TeamPlay
Ebeid, E. S. M., Schultz, U. P., Sahafi, A. & Seewald, A.
01/01/2018 → 31/12/2020
Projekter: Projekt › Forskning

Citationsformater

Seewald, A., Schultz, U. P., Roeder, J., Rouxel, B., & Grelck, C. (2019). Component-based computation-energy modeling for embedded systems. I Y. Smaragdakis (red.), Proceedings Companion of the 2019 ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications: Software for Humanity (s. 5-6). Association for Computing Machinery. https://doi.org/10.1145/3359061.3362775

Seewald, Adam ; Schultz, Ulrik Pagh ; Roeder, Julius ; Rouxel, Benjamin ; Grelck, Clemens. / Component-based computation-energy modeling for embedded systems. Proceedings Companion of the 2019 ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications: Software for Humanity. red. / Yannis Smaragdakis. New York, NY, USA : Association for Computing Machinery, 2019. s. 5-6

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title = "Component-based computation-energy modeling for embedded systems",

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.",

keywords = "Component-Based Development, Embedded Platforms, Energy Modeling, Energy Profiling",

author = "Adam Seewald and Schultz, {Ulrik Pagh} and Julius Roeder and Benjamin Rouxel and Clemens Grelck",

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doi = "10.1145/3359061.3362775",

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isbn = "978-1-4503-6992-3",

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editor = "Yannis Smaragdakis",

booktitle = "Proceedings Companion of the 2019 ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications",

publisher = "Association for Computing Machinery",

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note = "ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications : Software for Humanity, SPLASH ; Conference date: 20-10-2019 Through 25-10-2019",

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Seewald, A , Schultz, UP, Roeder, J, Rouxel, B & Grelck, C 2019, Component-based computation-energy modeling for embedded systems. i Y Smaragdakis (red.), Proceedings Companion of the 2019 ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications: Software for Humanity. Association for Computing Machinery, New York, NY, USA, s. 5-6, ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications , Athen, Grækenland, 20/10/2019. https://doi.org/10.1145/3359061.3362775

Component-based computation-energy modeling for embedded systems. / Seewald, Adam ; Schultz, Ulrik Pagh; Roeder, Julius; Rouxel, Benjamin; Grelck, Clemens.

Proceedings Companion of the 2019 ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications: Software for Humanity. red. / Yannis Smaragdakis. New York, NY, USA : Association for Computing Machinery, 2019. s. 5-6.

Publikation: Kapitel i bog/rapport/konference-proceeding › Konferenceabstrakt i proceedings › Forskning › peer review

TY - ABST

T1 - Component-based computation-energy modeling for embedded systems

AU - Seewald, Adam

AU - Schultz, Ulrik Pagh

AU - Roeder, Julius

AU - Rouxel, Benjamin

AU - Grelck, Clemens

PY - 2019/10/20

Y1 - 2019/10/20

N2 - 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.

AB - 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.

KW - Component-Based Development

KW - Embedded Platforms

KW - Energy Modeling

KW - Energy Profiling

U2 - 10.1145/3359061.3362775

DO - 10.1145/3359061.3362775

M3 - Conference abstract in proceedings

SN - 978-1-4503-6992-3

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EP - 6

BT - Proceedings Companion of the 2019 ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications

A2 - Smaragdakis, Yannis

PB - Association for Computing Machinery

CY - New York, NY, USA

T2 - ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications

Y2 - 20 October 2019 through 25 October 2019

ER -

Seewald A , Schultz UP, Roeder J, Rouxel B, Grelck C. Component-based computation-energy modeling for embedded systems. I Smaragdakis Y, red., Proceedings Companion of the 2019 ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications: Software for Humanity. New York, NY, USA: Association for Computing Machinery. 2019. s. 5-6 https://doi.org/10.1145/3359061.3362775

Component-based computation-energy modeling for embedded systems

Abstrakt

Konference

Dokumenter og links

EU H2020: TeamPlay

Citationsformater