Energy profiling using IgProf

Kashif Nizam Khan; Filip Nyback; Zhonghong Ou; Jukka K. Nurminen; Tapio Niemi; Giulio Eulisse; Peter Elmer; David Abdurachmanov

doi:10.1109/CCGrid.2015.118

Energy profiling using IgProf

Kashif Nizam Khan, Filip Nyback, Zhonghong Ou, Jukka K. Nurminen, Tapio Niemi, Giulio Eulisse, Peter Elmer, David Abdurachmanov

Not published at VTT

Helsinki Institute of Physics (HIP)

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

9 Citations (Scopus)

Abstract

Energy efficiency has become a primary concern for data centers in recent years. Understanding where the energy has been spent within a software is fundamental for energy-efficiency study as a whole. In this paper, we take the first step towards this direction by building an energy profiling module on top of IgProf. IgProf is an application profiler developed at CERN for scientific computing workloads. The energy profiling module is based on sampling and obtains energy measurements from the Running Average Power Limit (RAPL) interface present on the latest Intel processors. The initial profiling results of a single-threaded program demonstrates potential, showing a close correlation between the execution time and the energy spent within a function.

Original language	English
Title of host publication	Proceedings - 2015 IEEE/ACM 15th International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	1115-1118
Number of pages	4
ISBN (Print)	9781479980062
DOIs	https://doi.org/10.1109/CCGrid.2015.118
Publication status	Published - 7 Jul 2015
MoE publication type	A4 Article in a conference publication

Keywords

Energy efficiency
Energy profiler
Profiling

UN SDGs

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

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10.1109/CCGrid.2015.118

Cite this

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title = "Energy profiling using IgProf",

abstract = "Energy efficiency has become a primary concern for data centers in recent years. Understanding where the energy has been spent within a software is fundamental for energy-efficiency study as a whole. In this paper, we take the first step towards this direction by building an energy profiling module on top of IgProf. IgProf is an application profiler developed at CERN for scientific computing workloads. The energy profiling module is based on sampling and obtains energy measurements from the Running Average Power Limit (RAPL) interface present on the latest Intel processors. The initial profiling results of a single-threaded program demonstrates potential, showing a close correlation between the execution time and the energy spent within a function.",

keywords = "Energy efficiency, Energy profiler, Profiling",

author = "Khan, {Kashif Nizam} and Filip Nyback and Zhonghong Ou and Nurminen, {Jukka K.} and Tapio Niemi and Giulio Eulisse and Peter Elmer and David Abdurachmanov",

year = "2015",

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language = "English",

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pages = "1115--1118",

booktitle = "Proceedings - 2015 IEEE/ACM 15th International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

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}

Energy profiling using IgProf. / Khan, Kashif Nizam; Nyback, Filip; Ou, Zhonghong et al.
Proceedings - 2015 IEEE/ACM 15th International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015. IEEE Institute of Electrical and Electronic Engineers, 2015. p. 1115-1118.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Energy profiling using IgProf

AU - Khan, Kashif Nizam

AU - Nyback, Filip

AU - Ou, Zhonghong

AU - Nurminen, Jukka K.

AU - Niemi, Tapio

AU - Eulisse, Giulio

AU - Elmer, Peter

AU - Abdurachmanov, David

PY - 2015/7/7

Y1 - 2015/7/7

N2 - Energy efficiency has become a primary concern for data centers in recent years. Understanding where the energy has been spent within a software is fundamental for energy-efficiency study as a whole. In this paper, we take the first step towards this direction by building an energy profiling module on top of IgProf. IgProf is an application profiler developed at CERN for scientific computing workloads. The energy profiling module is based on sampling and obtains energy measurements from the Running Average Power Limit (RAPL) interface present on the latest Intel processors. The initial profiling results of a single-threaded program demonstrates potential, showing a close correlation between the execution time and the energy spent within a function.

AB - Energy efficiency has become a primary concern for data centers in recent years. Understanding where the energy has been spent within a software is fundamental for energy-efficiency study as a whole. In this paper, we take the first step towards this direction by building an energy profiling module on top of IgProf. IgProf is an application profiler developed at CERN for scientific computing workloads. The energy profiling module is based on sampling and obtains energy measurements from the Running Average Power Limit (RAPL) interface present on the latest Intel processors. The initial profiling results of a single-threaded program demonstrates potential, showing a close correlation between the execution time and the energy spent within a function.

KW - Energy efficiency

KW - Energy profiler

KW - Profiling

U2 - 10.1109/CCGrid.2015.118

DO - 10.1109/CCGrid.2015.118

M3 - Conference article in proceedings

SN - 9781479980062

SP - 1115

EP - 1118

BT - Proceedings - 2015 IEEE/ACM 15th International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015

PB - IEEE Institute of Electrical and Electronic Engineers

ER -

Energy profiling using IgProf

Abstract

Keywords

UN SDGs

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