Nornir: A customizable framework for autonomic and power-aware applications

Daniele De Sensi; Tiziano De Matteis; Marco Danelutto

doi:10.1007/978-3-319-75178-8_4

Nornir: A customizable framework for autonomic and power-aware applications

Daniele De Sensi
, Tiziano De Matteis
, Marco Danelutto

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

Abstract

A desirable characteristic of modern parallel applications is the ability to dynamically select the amount of resources to be used to meet requirements on performance or power consumption. In many cases, providing explicit guarantees on performance is of paramount importance. In streaming applications, this is related with the concept of elasticity, i.e. being able to allocate the proper amount of resources to match the current demand as closely as possible. Similarly, in other scenarios, it may be useful to limit the maximum power consumption of an application to do not exceed the power budget. In this paper we propose Nornir, a customizable C++ framework for autonomic and power-aware parallel applications on shared memory multicore machines. Nornir can be used by autonomic strategy designers to implement new algorithms and by application users to enforce requirements on applications.

Original language	English
Title of host publication	Euro-Par 2017: Parallel Processing Workshops - Euro-Par 2017 International Workshops
Editors	D.B. Heras, L. Bouge
Publisher	Springer Verlag
Pages	42-54
ISBN (Print)	9783319751771
DOIs	https://doi.org/10.1007/978-3-319-75178-8_4
Publication status	Published - 2018
Externally published	Yes
Event	International Workshops on Parallel Processing, Euro-Par 2017 - Santiago de Compostela, Spain Duration: 28 Aug 2017 → 29 Aug 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Workshops on Parallel Processing, Euro-Par 2017
Country/Territory	Spain
City	Santiago de Compostela
Period	28/08/17 → 29/08/17

Funding

Acknowledgements. This work has been partially supported by the EU H2020-ICT-

Funders
EU H2020-ICT

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Access to Document

10.1007/978-3-319-75178-8_4

Persistent URL (handle)

Persistent link

Cite this

De Sensi, D., De Matteis, T., & Danelutto, M. (2018). Nornir: A customizable framework for autonomic and power-aware applications. In D. B. Heras, & L. Bouge (Eds.), Euro-Par 2017: Parallel Processing Workshops - Euro-Par 2017 International Workshops (pp. 42-54). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Springer Verlag. https://doi.org/10.1007/978-3-319-75178-8_4

De Sensi, Daniele ; De Matteis, Tiziano ; Danelutto, Marco. / Nornir : A customizable framework for autonomic and power-aware applications. Euro-Par 2017: Parallel Processing Workshops - Euro-Par 2017 International Workshops. editor / D.B. Heras ; L. Bouge. Springer Verlag, 2018. pp. 42-54 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{1579154efed54cc68d0ca445bef2bca6,

title = "Nornir: A customizable framework for autonomic and power-aware applications",

abstract = "A desirable characteristic of modern parallel applications is the ability to dynamically select the amount of resources to be used to meet requirements on performance or power consumption. In many cases, providing explicit guarantees on performance is of paramount importance. In streaming applications, this is related with the concept of elasticity, i.e. being able to allocate the proper amount of resources to match the current demand as closely as possible. Similarly, in other scenarios, it may be useful to limit the maximum power consumption of an application to do not exceed the power budget. In this paper we propose Nornir, a customizable C++ framework for autonomic and power-aware parallel applications on shared memory multicore machines. Nornir can be used by autonomic strategy designers to implement new algorithms and by application users to enforce requirements on applications.",

author = "\{De Sensi\}, Daniele and \{De Matteis\}, Tiziano and Marco Danelutto",

year = "2018",

doi = "10.1007/978-3-319-75178-8\_4",

language = "English",

isbn = "9783319751771",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "42--54",

editor = "D.B. Heras and L. Bouge",

booktitle = "Euro-Par 2017: Parallel Processing Workshops - Euro-Par 2017 International Workshops",

note = "International Workshops on Parallel Processing, Euro-Par 2017 ; Conference date: 28-08-2017 Through 29-08-2017",

}

De Sensi, D, De Matteis, T & Danelutto, M 2018, Nornir: A customizable framework for autonomic and power-aware applications. in DB Heras & L Bouge (eds), Euro-Par 2017: Parallel Processing Workshops - Euro-Par 2017 International Workshops. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Verlag, pp. 42-54, International Workshops on Parallel Processing, Euro-Par 2017, Santiago de Compostela, Spain, 28/08/17. https://doi.org/10.1007/978-3-319-75178-8_4

Nornir: A customizable framework for autonomic and power-aware applications. / De Sensi, Daniele; De Matteis, Tiziano; Danelutto, Marco.
Euro-Par 2017: Parallel Processing Workshops - Euro-Par 2017 International Workshops. ed. / D.B. Heras; L. Bouge. Springer Verlag, 2018. p. 42-54 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Nornir

T2 - International Workshops on Parallel Processing, Euro-Par 2017

AU - De Sensi, Daniele

AU - De Matteis, Tiziano

AU - Danelutto, Marco

PY - 2018

Y1 - 2018

N2 - A desirable characteristic of modern parallel applications is the ability to dynamically select the amount of resources to be used to meet requirements on performance or power consumption. In many cases, providing explicit guarantees on performance is of paramount importance. In streaming applications, this is related with the concept of elasticity, i.e. being able to allocate the proper amount of resources to match the current demand as closely as possible. Similarly, in other scenarios, it may be useful to limit the maximum power consumption of an application to do not exceed the power budget. In this paper we propose Nornir, a customizable C++ framework for autonomic and power-aware parallel applications on shared memory multicore machines. Nornir can be used by autonomic strategy designers to implement new algorithms and by application users to enforce requirements on applications.

AB - A desirable characteristic of modern parallel applications is the ability to dynamically select the amount of resources to be used to meet requirements on performance or power consumption. In many cases, providing explicit guarantees on performance is of paramount importance. In streaming applications, this is related with the concept of elasticity, i.e. being able to allocate the proper amount of resources to match the current demand as closely as possible. Similarly, in other scenarios, it may be useful to limit the maximum power consumption of an application to do not exceed the power budget. In this paper we propose Nornir, a customizable C++ framework for autonomic and power-aware parallel applications on shared memory multicore machines. Nornir can be used by autonomic strategy designers to implement new algorithms and by application users to enforce requirements on applications.

UR - https://www.scopus.com/pages/publications/85042471548

U2 - 10.1007/978-3-319-75178-8_4

DO - 10.1007/978-3-319-75178-8_4

M3 - Conference contribution

SN - 9783319751771

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 42

EP - 54

BT - Euro-Par 2017: Parallel Processing Workshops - Euro-Par 2017 International Workshops

A2 - Heras, D.B.

A2 - Bouge, L.

PB - Springer Verlag

Y2 - 28 August 2017 through 29 August 2017

ER -

De Sensi D, De Matteis T, Danelutto M. Nornir: A customizable framework for autonomic and power-aware applications. In Heras DB, Bouge L, editors, Euro-Par 2017: Parallel Processing Workshops - Euro-Par 2017 International Workshops. Springer Verlag. 2018. p. 42-54. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-75178-8_4

Nornir: A customizable framework for autonomic and power-aware applications

Abstract

Publication series

Conference

Funding

UN SDGs

Access to Document

Persistent URL (handle)

Other files and links

Fingerprint

Cite this