H-EARtH: Heterogeneous Multicore Platform Energy Management

Efraim Rotem; Uri C. Weiser; Avi Mendelson; Ran Ginosar; Eliezer Weissmann; Yoni Aizik

doi:10.1109/MC.2016.309

H-EARtH: Heterogeneous Multicore Platform Energy Management

Efraim Rotem, Uri C. Weiser, Avi Mendelson, Ran Ginosar, Eliezer Weissmann, Yoni Aizik

Research output: Contribution to specialist publication › Article

12 Scopus citations

Abstract

By scheduling each workload according to its most advantageous core and managing voltage and frequency, the heterogeneous energy-aware race to halt (H-EARtH) algorithm optimizes CPU platform energy.

Original language	English
Pages	47-55
Number of pages	9
Volume	49
No	10
Specialist publication	Computer
DOIs	https://doi.org/10.1109/MC.2016.309
State	Published - 1 Oct 2016
Externally published	Yes

Keywords

energy efficiency
energy-efficient computing
green computing
multicore processors

ASJC Scopus subject areas

General Computer Science

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10.1109/MC.2016.309

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@misc{09c300e0df9440adb37e4112ca545fa6,

title = "H-EARtH: Heterogeneous Multicore Platform Energy Management",

abstract = "By scheduling each workload according to its most advantageous core and managing voltage and frequency, the heterogeneous energy-aware race to halt (H-EARtH) algorithm optimizes CPU platform energy.",

keywords = "energy efficiency, energy-efficient computing, green computing, multicore processors",

author = "Efraim Rotem and Weiser, \{Uri C.\} and Avi Mendelson and Ran Ginosar and Eliezer Weissmann and Yoni Aizik",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.",

year = "2016",

month = oct,

day = "1",

doi = "10.1109/MC.2016.309",

language = "English",

volume = "49",

pages = "47--55",

journal = "Computer",

issn = "0018-9162",

publisher = "Institute of Electrical and Electronics Engineers",

}

TY - GEN

T1 - H-EARtH

T2 - Heterogeneous Multicore Platform Energy Management

AU - Rotem, Efraim

AU - Weiser, Uri C.

AU - Mendelson, Avi

AU - Ginosar, Ran

AU - Weissmann, Eliezer

AU - Aizik, Yoni

PY - 2016/10/1

Y1 - 2016/10/1

N2 - By scheduling each workload according to its most advantageous core and managing voltage and frequency, the heterogeneous energy-aware race to halt (H-EARtH) algorithm optimizes CPU platform energy.

AB - By scheduling each workload according to its most advantageous core and managing voltage and frequency, the heterogeneous energy-aware race to halt (H-EARtH) algorithm optimizes CPU platform energy.

KW - energy efficiency

KW - energy-efficient computing

KW - green computing

KW - multicore processors

UR - https://www.scopus.com/pages/publications/84993967470

U2 - 10.1109/MC.2016.309

DO - 10.1109/MC.2016.309

M3 - Article

AN - SCOPUS:84993967470

SN - 0018-9162

VL - 49

SP - 47

EP - 55

JO - Computer

JF - Computer

ER -

H-EARtH: Heterogeneous Multicore Platform Energy Management

Abstract

Keywords

ASJC Scopus subject areas

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