Article

Free access

Techniques for low energy software

Authors:

Huzefa Mehta,

Robert Michael Owens,

Mary Jane Irwin,

Rita Chen,

Debashree GhoshAuthors Info & Claims

ISLPED '97: Proceedings of the 1997 international symposium on Low power electronics and design

Pages 72 - 75

https://doi.org/10.1145/263272.263286

Published: 01 August 1997 Publication History

PDF eReader

References

[1]

Benini L., Bogliolo A., Favalli M., and Micheli G. Regression models for behavioral power estimation, in International workshop on power and timing modeling, optimization and simulation, 1996.

Google Scholar

[2]

Devadas Sdnivas and Malika Sharad. Tutorial: A survey of opfim/zadon techniques targeting low power, in 32ndDesign Automation Conference Proceedings, pages 242-247, June 1995.

Digital Library

Google Scholar

[3]

Hostetler Larry B. and Mirtich Brian. Dlxsim: A simulator for DLX,

Google Scholar

[4]

Landman Paul E. and Rabaey Jan M. Architectural power analysis: The dual-bit type method, in EDAC-EUROASIC, pages 370-377, 1993.

Google Scholar

[5]

Landman Paul E. and Rabaey Jan M. Power estimation for high level synthesis. In EDAC-EUROASIC, pages 361-366, 1993.

Google Scholar

[6]

Landman Paul E. and Rabaey Jan M. Black-box capacitance models for architectural power analysis. In Proceedings of the International Workshop on Low Power Design, pages 165-.170, April 1994.

Google Scholar

[7]

Landman Paul E. and Rabaey Jan M. Activity-sensitive architectural power analysis for the control path. In Proceedings of the international Workshop on Low Power Design, pages 93-98, April 1995.

Digital Library

Google Scholar

[8]

Lee Mike and Tiwari Vivek, A memory allocation technique for lowenergy embedded DSP software. In Proceedings of the 1995 Symposium on Low Power Electronics, 1995.

Google Scholar

[9]

Lee Mike, Tiwari Vivek, Fujita Masahiro, and Malik Sharad. Power analysis and low-power scheduling techniques for embedded DSP software. In 8th International Symposium System Synthesis, 1995.

Digital Library

Google Scholar

[10]

Mchta Huzefa, Owens Robert Michael, and Irwin Mary Jane. Instruction level power profiling, in International Conference on Acoustics, Speech and Signal Processing, 1996.

Digital Library

Google Scholar

[11]

Mchta Huzefa, Owens Robert Michael, and Irwin Mary Jane. Module energy characterization using clustering. In Proceedings of Design Automation Conference, June 1996.

Digital Library

Google Scholar

[12]

Monterciro Jose and Devadas Srinivas. Techniques for the power estimation of sequential logic circuits under user-spemfied input sequences and programs. In Proceedings of the International Workshop on Low Power Design, pages 33-38, April 1995.

Digital Library

Google Scholar

[13]

Su C., Tsui C., and De, spain Alvin. Low power architecture design and compilation techniques for high-performance processors. In IEEE Symposium on Low Power Electronics, pages 49-58, March 1994.

Google Scholar

[14]

Tiwad Vivek, Malik Sharad, and Wolfe Andrew. Compilation techniques for low energy: An overview. In Proceedings of the 1994 Symposium on Low Power Electronics, 1994.

Google Scholar

[15]

Tiwari Vivek, Malik Sharad, and Wolfe Andrew. Power analysis of embedded software: First step towards software power minimization. In Proc. of the lnt'l Conference on Computer Aided Design, pages 384-390, Nov 1994.

Digital Library

Google Scholar

[16]

Tiwad Vivek, Pranav Asher, and Malik Sharad. Technology mapping for low power. In Proceedings of the 30th Design Automation Conference, pages 74-79, June 1993.

Digital Library

Google Scholar

Cited By

View all

Alqurashi FAl-Hashimi M(2023)An Experimental Approach to Estimation of the Energy Cost of Dynamic Branch Prediction in an Intel High-Performance ProcessorComputers10.3390/computers1207013912:7(139)Online publication date: 11-Jul-2023
https://doi.org/10.3390/computers12070139
(2023)ReferencesComputers as Components10.1016/B978-0-323-85128-2.16001-3(505-518)Online publication date: 2023
https://doi.org/10.1016/B978-0-323-85128-2.16001-3
Qasim AMunawar AHassan JKhalid A(2021)Evaluating the Impact of Design Pattern Usage on Energy Consumption of Applications for Mobile PlatformApplied Computer Systems10.2478/acss-2021-000126:1(1-11)Online publication date: 4-Jun-2021
https://doi.org/10.2478/acss-2021-0001
Show More Cited By

Techniques for low energy software
1. Software and its engineering
  1. Software notations and tools

Recommendations

Cross-sensor coding techniques for low energy sensor networks
IWCMC '10: Proceedings of the 6th International Wireless Communications and Mobile Computing Conference

This work addresses the uneven energy consumption problem in data gathering sensor networks where the nodes closer to the sink tend to consume more energy than those of the farther nodes. This energy unfairness can significantly shorten the life time of ...
Networking Low-Power Energy Harvesting Devices: Measurements and Algorithms

Recent advances in energy harvesting materials and ultra-low-power communications will soon enable the realization of networks composed of energy harvesting devices. These devices will operate using very low ambient energy, such as energy harvested from ...
Software Engineering Techniques Applied to Agricultural Systems: An Object-Oriented and UML Approach

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

ISLPED '97: Proceedings of the 1997 international symposium on Low power electronics and design

August 1997

335 pages

ISBN:0897919033

DOI:10.1145/263272

Chairmen:
Brock Barton
Texas Instruments
,
Massoud Pedram
USC
,
Anantha Chandrakasan
Massachusettes Institute of Technology
,
Sayfe Kiaei
Oregon State Univ., Corvallis

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 August 1997

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Article

Conference

ISLPED97

Sponsor:

SIGDA
IEEE-CAS

ISLPED97: 1997 International Symposium on Low Power Electronics and Design

August 18 - 20, 1997

California, Monterey, USA

Acceptance Rates

Overall Acceptance Rate 398 of 1,159 submissions, 34%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

87
Total Citations
View Citations
1,283
Total Downloads

Downloads (Last 12 months)124
Downloads (Last 6 weeks)19

Reflects downloads up to 05 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Alqurashi FAl-Hashimi M(2023)An Experimental Approach to Estimation of the Energy Cost of Dynamic Branch Prediction in an Intel High-Performance ProcessorComputers10.3390/computers1207013912:7(139)Online publication date: 11-Jul-2023
https://doi.org/10.3390/computers12070139
(2023)ReferencesComputers as Components10.1016/B978-0-323-85128-2.16001-3(505-518)Online publication date: 2023
https://doi.org/10.1016/B978-0-323-85128-2.16001-3
Qasim AMunawar AHassan JKhalid A(2021)Evaluating the Impact of Design Pattern Usage on Energy Consumption of Applications for Mobile PlatformApplied Computer Systems10.2478/acss-2021-000126:1(1-11)Online publication date: 4-Jun-2021
https://doi.org/10.2478/acss-2021-0001
Jayanthi HKulkarni APatil AS V S(2021)An Organizational Structure for Sustainable Software Development2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)10.1109/ICAC3N53548.2021.9725722(1539-1542)Online publication date: 17-Dec-2021
https://doi.org/10.1109/ICAC3N53548.2021.9725722
Guo CCi SZhou YYang Y(2021)A Survey of Energy Consumption Measurement in Embedded SystemsIEEE Access10.1109/ACCESS.2021.30740709(60516-60530)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3074070
Mahmud UHussain SYang S(2018)Power Profiling of Context Aware SystemsWireless Communications & Mobile Computing10.1155/2018/13479672018Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1155/2018/1347967
Ben Abdallah ABen Abdallah A(2017)Power Optimization Techniques for Multicore SoCsAdvanced Multicore Systems-On-Chip10.1007/978-981-10-6092-2_8(225-244)Online publication date: 12-Sep-2017
https://doi.org/10.1007/978-981-10-6092-2_8
Sahin CWan MTornquist PMcKenna RPearson ZHalfond WClause J(2016)How does code obfuscation impact energy usage?Journal of Software: Evolution and Process10.1002/smr.176228:7(565-588)Online publication date: 1-Jul-2016
https://dl.acm.org/doi/10.1002/smr.1762
Gastel BKersten REekelen M(2015)Using Dependent Types to Define Energy Augmented Semantics of Programs4th International Workshop on Foundational and Practical Aspects of Resource Analysis - Volume 996410.1007/978-3-319-46559-3_2(20-39)Online publication date: 11-Apr-2015
https://dl.acm.org/doi/10.1007/978-3-319-46559-3_2
Kambadur MKim M(2014)An experimental survey of energy management across the stackACM SIGPLAN Notices10.1145/2714064.266019649:10(329-344)Online publication date: 15-Oct-2014
https://dl.acm.org/doi/10.1145/2714064.2660196
Show More Cited By

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Login options

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

Cited By

Recommendations

Cross-sensor coding techniques for low energy sensor networks

Networking Low-Power Energy Harvesting Devices: Measurements and Algorithms

Software Engineering Techniques Applied to Agricultural Systems: An Object-Oriented and UML Approach