IMTeract Tool for Monitoring and Profiling HPC Systems and Applications

Violeta Holmes; Christopher Newman; Matthew Newall; Daniel Munnings; Gillian Arnold

doi:10.1109/DSDIS.2015.79

IMTeract Tool for Monitoring and Profiling HPC Systems and Applications

Violeta Holmes, Christopher Newman, Matthew Newall, Daniel Munnings, Gillian Arnold

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

Abstract

Energy usage of computing equipment is an important consideration and energy inefficiency of computer systems is identified as the single biggest obstacle to advances in computing. Research into low-energy computing products ranges from operating system codes, applications and energy-aware schedulers to cooling systems for data centres. To monitor energy consumption in data and HPC centres it is necessary to develop tools for measuring the energy usage of computer equipment and applications. We have developed power measuring apparatus and a tool, IMTeract, for measuring energy consumption of HPC applications. IMTeract was used for energy usage profiling of HPC clusters running FLUENT and DL-POLY software and a GPU cluster running different implementations of an FFT algorithm. Our experimental results are encouraging and suggest that the IMTeract tool can be used to measure the CPU, Memory, Disk I/O and Network I/O for an application or a process and report on the energy used.

Original language	English
Title of host publication	2015 IEEE International Conference on Data Science and Data Intensive Systems
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	311-317
Number of pages	7
ISBN (Electronic)	9781509002146
DOIs	https://doi.org/10.1109/DSDIS.2015.79
Publication status	Published - 1 Feb 2016
Event	2015 IEEE International Conference on Data Science and Data Intensive Systems - Sydney, Australia Duration: 11 Dec 2015 → 13 Dec 2015

Conference

Conference	2015 IEEE International Conference on Data Science and Data Intensive Systems
Country/Territory	Australia
City	Sydney
Period	11/12/15 → 13/12/15

UN SDGs

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

Access to Document

10.1109/DSDIS.2015.79Licence: Other

http://eprints.hud.ac.uk/id/eprint/26768/Licence: Unspecified

Cite this

@inproceedings{6a32893ee3b94e638fe36ad11659be5e,

title = "IMTeract Tool for Monitoring and Profiling HPC Systems and Applications",

abstract = "Energy usage of computing equipment is an important consideration and energy inefficiency of computer systems is identified as the single biggest obstacle to advances in computing. Research into low-energy computing products ranges from operating system codes, applications and energy-aware schedulers to cooling systems for data centres. To monitor energy consumption in data and HPC centres it is necessary to develop tools for measuring the energy usage of computer equipment and applications. We have developed power measuring apparatus and a tool, IMTeract, for measuring energy consumption of HPC applications. IMTeract was used for energy usage profiling of HPC clusters running FLUENT and DL-POLY software and a GPU cluster running different implementations of an FFT algorithm. Our experimental results are encouraging and suggest that the IMTeract tool can be used to measure the CPU, Memory, Disk I/O and Network I/O for an application or a process and report on the energy used.",

keywords = "DCIM tool, Energy Efficient Computing, Energy Utilisation Profiling, HPC systems and applications",

author = "Violeta Holmes and Christopher Newman and Matthew Newall and Daniel Munnings and Gillian Arnold",

year = "2016",

month = feb,

day = "1",

doi = "10.1109/DSDIS.2015.79",

language = "English",

pages = "311--317",

booktitle = "2015 IEEE International Conference on Data Science and Data Intensive Systems",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "2015 IEEE International Conference on Data Science and Data Intensive Systems ; Conference date: 11-12-2015 Through 13-12-2015",

}

Holmes, V, Newman, C, Newall, M, Munnings, D & Arnold, G 2016, IMTeract Tool for Monitoring and Profiling HPC Systems and Applications. in 2015 IEEE International Conference on Data Science and Data Intensive Systems., 7396519, Institute of Electrical and Electronics Engineers Inc., pp. 311-317, 2015 IEEE International Conference on Data Science and Data Intensive Systems, Sydney, New South Wales, Australia, 11/12/15. https://doi.org/10.1109/DSDIS.2015.79

IMTeract Tool for Monitoring and Profiling HPC Systems and Applications. / Holmes, Violeta; Newman, Christopher; Newall, Matthew et al.

2015 IEEE International Conference on Data Science and Data Intensive Systems. Institute of Electrical and Electronics Engineers Inc., 2016. p. 311-317 7396519.

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

TY - GEN

T1 - IMTeract Tool for Monitoring and Profiling HPC Systems and Applications

AU - Holmes, Violeta

AU - Newman, Christopher

AU - Newall, Matthew

AU - Munnings, Daniel

AU - Arnold, Gillian

PY - 2016/2/1

Y1 - 2016/2/1

N2 - Energy usage of computing equipment is an important consideration and energy inefficiency of computer systems is identified as the single biggest obstacle to advances in computing. Research into low-energy computing products ranges from operating system codes, applications and energy-aware schedulers to cooling systems for data centres. To monitor energy consumption in data and HPC centres it is necessary to develop tools for measuring the energy usage of computer equipment and applications. We have developed power measuring apparatus and a tool, IMTeract, for measuring energy consumption of HPC applications. IMTeract was used for energy usage profiling of HPC clusters running FLUENT and DL-POLY software and a GPU cluster running different implementations of an FFT algorithm. Our experimental results are encouraging and suggest that the IMTeract tool can be used to measure the CPU, Memory, Disk I/O and Network I/O for an application or a process and report on the energy used.

AB - Energy usage of computing equipment is an important consideration and energy inefficiency of computer systems is identified as the single biggest obstacle to advances in computing. Research into low-energy computing products ranges from operating system codes, applications and energy-aware schedulers to cooling systems for data centres. To monitor energy consumption in data and HPC centres it is necessary to develop tools for measuring the energy usage of computer equipment and applications. We have developed power measuring apparatus and a tool, IMTeract, for measuring energy consumption of HPC applications. IMTeract was used for energy usage profiling of HPC clusters running FLUENT and DL-POLY software and a GPU cluster running different implementations of an FFT algorithm. Our experimental results are encouraging and suggest that the IMTeract tool can be used to measure the CPU, Memory, Disk I/O and Network I/O for an application or a process and report on the energy used.

KW - DCIM tool

KW - Energy Efficient Computing

KW - Energy Utilisation Profiling

KW - HPC systems and applications

UR - http://www.scopus.com/inward/record.url?scp=84964414263&partnerID=8YFLogxK

U2 - 10.1109/DSDIS.2015.79

DO - 10.1109/DSDIS.2015.79

M3 - Conference contribution

AN - SCOPUS:84964414263

SP - 311

EP - 317

BT - 2015 IEEE International Conference on Data Science and Data Intensive Systems

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2015 IEEE International Conference on Data Science and Data Intensive Systems

Y2 - 11 December 2015 through 13 December 2015

ER -

IMTeract Tool for Monitoring and Profiling HPC Systems and Applications

Abstract

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this