Performance Evaluation and Energy Consumption for DVFS Processor

Youssef Ait El Mahjoub; Jean Michel Fourneau; Hind Castel-Taleb

doi:10.1007/978-3-030-91825-5_10

Performance Evaluation and Energy Consumption for DVFS Processor

Youssef Ait El Mahjoub
, Jean Michel Fourneau
, Hind Castel-Taleb

Université Versailles-Saint Quentin
Institut Polytechnique de Paris

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

Abstract

Dynamic Voltage and Frequency Scaling (DVFS) involves adjusting the speed to match power consumption and performance requirements of the system. This technology has been shown to provide major power and energy savings in many system components (processor cores, memory system..). In this work, we study the DVFS mechanism for a processor that implements various levels of speed and power (we call these levels “Pstates”). We model the system as a birth-death process and we compare different configurations, using stochastic comparison, in order to evaluate the impact on the response time and power (and energy) consumption. In the case of two Pstates, we proposed a closed form for the steady state distribution and we derived a cost function that uses both performance and energy consumption. Finally, we derive an algorithm that suggests a threshold which minimizes the cost function.

Original language	English
Title of host publication	Performance Engineering and Stochastic Modeling - 17th European Workshop, EPEW 2021, and 26th International Conference, ASMTA 2021, Proceedings
Editors	Paolo Ballarini, Hind Castel, Ioannis Dimitriou, Mauro Iacono, Tuan Phung-Duc, Joris Walraevens
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	165-180
Number of pages	16
ISBN (Print)	9783030918248
DOIs	https://doi.org/10.1007/978-3-030-91825-5_10
Publication status	Published - 1 Jan 2021
Externally published	Yes
Event	17th European Performance Engineering Workshop, EPEW 2021, and the 26th International Conference on Analytical and Stochastic Modelling Techniques and Applications, ASMTA 2021 - Virtual, Online Duration: 13 Dec 2021 → 14 Dec 2021

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13104 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th European Performance Engineering Workshop, EPEW 2021, and the 26th International Conference on Analytical and Stochastic Modelling Techniques and Applications, ASMTA 2021
City	Virtual, Online
Period	13/12/21 → 14/12/21

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

DVFS
Energy consumption
Performance evaluation
Stochastic comparison

Access to Document

10.1007/978-3-030-91825-5_10

Cite this

Ait El Mahjoub, Y., Fourneau, J. M., & Castel-Taleb, H. (2021). Performance Evaluation and Energy Consumption for DVFS Processor. In P. Ballarini, H. Castel, I. Dimitriou, M. Iacono, T. Phung-Duc, & J. Walraevens (Eds.), Performance Engineering and Stochastic Modeling - 17th European Workshop, EPEW 2021, and 26th International Conference, ASMTA 2021, Proceedings (pp. 165-180). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13104 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-91825-5_10

Ait El Mahjoub, Youssef ; Fourneau, Jean Michel ; Castel-Taleb, Hind. / Performance Evaluation and Energy Consumption for DVFS Processor. Performance Engineering and Stochastic Modeling - 17th European Workshop, EPEW 2021, and 26th International Conference, ASMTA 2021, Proceedings. editor / Paolo Ballarini ; Hind Castel ; Ioannis Dimitriou ; Mauro Iacono ; Tuan Phung-Duc ; Joris Walraevens. Springer Science and Business Media Deutschland GmbH, 2021. pp. 165-180 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Performance Evaluation and Energy Consumption for DVFS Processor",

abstract = "Dynamic Voltage and Frequency Scaling (DVFS) involves adjusting the speed to match power consumption and performance requirements of the system. This technology has been shown to provide major power and energy savings in many system components (processor cores, memory system..). In this work, we study the DVFS mechanism for a processor that implements various levels of speed and power (we call these levels {\textquotedblleft}Pstates{\textquotedblright}). We model the system as a birth-death process and we compare different configurations, using stochastic comparison, in order to evaluate the impact on the response time and power (and energy) consumption. In the case of two Pstates, we proposed a closed form for the steady state distribution and we derived a cost function that uses both performance and energy consumption. Finally, we derive an algorithm that suggests a threshold which minimizes the cost function.",

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

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editor = "Paolo Ballarini and Hind Castel and Ioannis Dimitriou and Mauro Iacono and Tuan Phung-Duc and Joris Walraevens",

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Ait El Mahjoub, Y, Fourneau, JM & Castel-Taleb, H 2021, Performance Evaluation and Energy Consumption for DVFS Processor. in P Ballarini, H Castel, I Dimitriou, M Iacono, T Phung-Duc & J Walraevens (eds), Performance Engineering and Stochastic Modeling - 17th European Workshop, EPEW 2021, and 26th International Conference, ASMTA 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13104 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 165-180, 17th European Performance Engineering Workshop, EPEW 2021, and the 26th International Conference on Analytical and Stochastic Modelling Techniques and Applications, ASMTA 2021, Virtual, Online, 13/12/21. https://doi.org/10.1007/978-3-030-91825-5_10

Performance Evaluation and Energy Consumption for DVFS Processor. / Ait El Mahjoub, Youssef; Fourneau, Jean Michel; Castel-Taleb, Hind.
Performance Engineering and Stochastic Modeling - 17th European Workshop, EPEW 2021, and 26th International Conference, ASMTA 2021, Proceedings. ed. / Paolo Ballarini; Hind Castel; Ioannis Dimitriou; Mauro Iacono; Tuan Phung-Duc; Joris Walraevens. Springer Science and Business Media Deutschland GmbH, 2021. p. 165-180 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13104 LNCS).

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

TY - GEN

T1 - Performance Evaluation and Energy Consumption for DVFS Processor

AU - Ait El Mahjoub, Youssef

AU - Fourneau, Jean Michel

AU - Castel-Taleb, Hind

PY - 2021/1/1

Y1 - 2021/1/1

N2 - Dynamic Voltage and Frequency Scaling (DVFS) involves adjusting the speed to match power consumption and performance requirements of the system. This technology has been shown to provide major power and energy savings in many system components (processor cores, memory system..). In this work, we study the DVFS mechanism for a processor that implements various levels of speed and power (we call these levels “Pstates”). We model the system as a birth-death process and we compare different configurations, using stochastic comparison, in order to evaluate the impact on the response time and power (and energy) consumption. In the case of two Pstates, we proposed a closed form for the steady state distribution and we derived a cost function that uses both performance and energy consumption. Finally, we derive an algorithm that suggests a threshold which minimizes the cost function.

AB - Dynamic Voltage and Frequency Scaling (DVFS) involves adjusting the speed to match power consumption and performance requirements of the system. This technology has been shown to provide major power and energy savings in many system components (processor cores, memory system..). In this work, we study the DVFS mechanism for a processor that implements various levels of speed and power (we call these levels “Pstates”). We model the system as a birth-death process and we compare different configurations, using stochastic comparison, in order to evaluate the impact on the response time and power (and energy) consumption. In the case of two Pstates, we proposed a closed form for the steady state distribution and we derived a cost function that uses both performance and energy consumption. Finally, we derive an algorithm that suggests a threshold which minimizes the cost function.

KW - DVFS

KW - Energy consumption

KW - Performance evaluation

KW - Stochastic comparison

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DO - 10.1007/978-3-030-91825-5_10

M3 - Conference contribution

AN - SCOPUS:85121924258

SN - 9783030918248

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

SP - 165

EP - 180

BT - Performance Engineering and Stochastic Modeling - 17th European Workshop, EPEW 2021, and 26th International Conference, ASMTA 2021, Proceedings

A2 - Ballarini, Paolo

A2 - Castel, Hind

A2 - Dimitriou, Ioannis

A2 - Iacono, Mauro

A2 - Phung-Duc, Tuan

A2 - Walraevens, Joris

PB - Springer Science and Business Media Deutschland GmbH

T2 - 17th European Performance Engineering Workshop, EPEW 2021, and the 26th International Conference on Analytical and Stochastic Modelling Techniques and Applications, ASMTA 2021

Y2 - 13 December 2021 through 14 December 2021

ER -

Ait El Mahjoub Y, Fourneau JM, Castel-Taleb H. Performance Evaluation and Energy Consumption for DVFS Processor. In Ballarini P, Castel H, Dimitriou I, Iacono M, Phung-Duc T, Walraevens J, editors, Performance Engineering and Stochastic Modeling - 17th European Workshop, EPEW 2021, and 26th International Conference, ASMTA 2021, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. p. 165-180. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-91825-5_10

Performance Evaluation and Energy Consumption for DVFS Processor

Abstract

Publication series

Conference

UN SDGs

Keywords

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