research-article

Implications of Historical Trends in the Electrical Efficiency of Computing

Authors:

Jonathan Koomey,

Stephen Berard,

Marla Sanchez,

Henry WongAuthors Info & Claims

IEEE Annals of the History of Computing, Volume 33, Issue 3

Pages 46 - 54

https://doi.org/10.1109/MAHC.2010.28

Published: 01 July 2011 Publication History

Abstract

The electrical efficiency of computation has doubled roughly every year and a half for more than six decades, a pace of change comparable to that for computer performance and electrical efficiency in the microprocessor era. These efficiency improvements enabled the creation of laptops, smart phones, wireless sensors, and other mobile computing devices, with many more such innovations yet to come. The Web Extra appendix outlines the data and methods used in this study.

Cited By

View all

Prieto APrieto BEscobar JLampert T(2025)Evolution of computing energy efficiency: Koomey's law revisitedCluster Computing10.1007/s10586-024-04767-y28:1Online publication date: 1-Feb-2025
https://dl.acm.org/doi/10.1007/s10586-024-04767-y
Venkatesha SParthasarathi R(2024)Survey on Redundancy Based-Fault tolerance methods for Processors and Hardware accelerators - Trends in Quantum Computing, Heterogeneous Systems and ReliabilityACM Computing Surveys10.1145/366367256:11(1-76)Online publication date: 28-Jun-2024
https://dl.acm.org/doi/10.1145/3663672
Vente TWegmeth LSaid ABeel J(2024)From Clicks to Carbon: The Environmental Toll of Recommender SystemsProceedings of the 18th ACM Conference on Recommender Systems10.1145/3640457.3688074(580-590)Online publication date: 8-Oct-2024
https://dl.acm.org/doi/10.1145/3640457.3688074
Show More Cited By

Implications of Historical Trends in the Electrical Efficiency of Computing
1. Networks
  1. Network types

Recommendations

Learning in Ubiquitous Computing Environments

The application of ubiquitous technologies in the improvement of education strategies is called Ubiquitous Learning. GlobalEdu is a model created to support ubiquitous learning. The model has the necessary support to implement learning-related ...
System support for anywhere anytime personal computing environment
M-MPAC '10: Proceedings of the 2nd International Workshop on Middleware for Pervasive Mobile and Embedded Computing

A personal computing environment is comprised of a set of components that include processors, storage devices, networking support, and peripheral devices. This paper identifies the key functionalities needed to build a loosely-coupled, anywhere, anytime ...
Increasing energy efficiency by improving power quality
Proceedings of the 15th WSEAS international conference on Systems

Different power quality phenomena influence also the efficiency of the electricity usage. Harmonic currents and unbalance in the currents will directly have a negative influence on the efficiency. A low power factor (PF) also contributes to a lower ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image IEEE Annals of the History of Computing

IEEE Annals of the History of Computing Volume 33, Issue 3

July 2011

84 pages

ISSN:1058-6180

Issue’s Table of Contents

Publisher

IEEE Educational Activities Department

United States

Publication History

Published: 01 July 2011

Author Tags

Qualifiers

Research-article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

55
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 20 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Prieto APrieto BEscobar JLampert T(2025)Evolution of computing energy efficiency: Koomey's law revisitedCluster Computing10.1007/s10586-024-04767-y28:1Online publication date: 1-Feb-2025
https://dl.acm.org/doi/10.1007/s10586-024-04767-y
Venkatesha SParthasarathi R(2024)Survey on Redundancy Based-Fault tolerance methods for Processors and Hardware accelerators - Trends in Quantum Computing, Heterogeneous Systems and ReliabilityACM Computing Surveys10.1145/366367256:11(1-76)Online publication date: 28-Jun-2024
https://dl.acm.org/doi/10.1145/3663672
Vente TWegmeth LSaid ABeel J(2024)From Clicks to Carbon: The Environmental Toll of Recommender SystemsProceedings of the 18th ACM Conference on Recommender Systems10.1145/3640457.3688074(580-590)Online publication date: 8-Oct-2024
https://dl.acm.org/doi/10.1145/3640457.3688074
Li XHan ZZhu GShi YXu JGong YZhang QHuang KLetaief K(2024)Integrating Sensing, Communication, and Power Transfer: From Theory to PracticeIEEE Communications Magazine10.1109/MCOM.001.230062362:9(122-127)Online publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1109/MCOM.001.2300623
Zhou ZLi XZhu GXu JHuang KCui S(2024)Integrating Sensing, Communication, and Power Transfer: Multiuser Beamforming DesignIEEE Journal on Selected Areas in Communications10.1109/JSAC.2024.341399642:9(2228-2242)Online publication date: 13-Jun-2024
https://dl.acm.org/doi/10.1109/JSAC.2024.3413996
Bremer CGujral HLin MHinkers LBecker CCoroamă V(2023)How Viable are Energy Savings in Smart Homes? A Call to Embrace Rebound Effects in Sustainable HCIACM Journal on Computing and Sustainable Societies10.1145/36081151:1(1-24)Online publication date: 22-Sep-2023
https://dl.acm.org/doi/10.1145/3608115
Jokic PAzarkhish EBonetti APons MEmery SBenini L(2022)A Construction Kit for Efficient Low Power Neural Network Accelerator DesignsACM Transactions on Embedded Computing Systems10.1145/352012721:5(1-36)Online publication date: 8-Oct-2022
https://dl.acm.org/doi/10.1145/3520127
Zohdi T(2022)An adaptive digital framework for energy management of complex multi-device systemsComputational Mechanics10.1007/s00466-022-02212-870:4(867-878)Online publication date: 1-Oct-2022
https://dl.acm.org/doi/10.1007/s00466-022-02212-8
Zohdi T(2022)A digital-twin and machine-learning framework for precise heat and energy management of data-centersComputational Mechanics10.1007/s00466-022-02152-369:6(1501-1516)Online publication date: 1-Jun-2022
https://dl.acm.org/doi/10.1007/s00466-022-02152-3
Bashar MVaidya JSurya Kanthi RLee CShi FNarayanan VShukla NChen YZhirnov VSasan ASavidis I(2021)Ferroelectric-based Accelerators for Computationally Hard ProblemsProceedings of the 2021 Great Lakes Symposium on VLSI10.1145/3453688.3461745(485-489)Online publication date: 22-Jun-2021
https://dl.acm.org/doi/10.1145/3453688.3461745
Show More Cited By

View Options

View options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Abstract

Cited By

Recommendations

Learning in Ubiquitous Computing Environments

System support for anywhere anytime personal computing environment

Increasing energy efficiency by improving power quality

Comments

Information

Published In

Publisher

Publication History

Author Tags

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

Login options

Full Access

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations