Adaptive real-time methodology for optimizing energy-efficient computing
Abstract
Dynamic voltage and frequency scaling (DVFS) is an effective way to reduce energy and power consumption in microprocessor units. Current implementations of DVFS suffer from inaccurate modeling of power requirements and usage, and from inaccurate characterization of the relationships between the applicable variables. A system and method is proposed that adjusts CPU frequency and voltage based on run-time calculations of the workload processing time, as well as a calculation of performance sensitivity with respect to CPU frequency. The system and method are processor independent, and can be applied to either an entire system as a unit, or individually to each process running on a system.
- Inventors:
-
- Los Alamos, NM
- Blacksburg, VA
- Issue Date:
- Research Org.:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1018710
- Patent Number(s):
- 7971073
- Application Number:
- US Patent Application 11/556,651
- Assignee:
- Los Alamos National Security, LLC (Los Alamos, NM)
- Patent Classifications (CPCs):
-
G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
Y - NEW / CROSS SECTIONAL TECHNOLOGIES Y02 - TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE Y02D - CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THIR OWN ENERGY USE
- DOE Contract Number:
- W-7405-ENG-36
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING; 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
Citation Formats
Hsu, Chung-Hsing, and Feng, Wu-Chun. Adaptive real-time methodology for optimizing energy-efficient computing. United States: N. p., 2011.
Web.
Hsu, Chung-Hsing, & Feng, Wu-Chun. Adaptive real-time methodology for optimizing energy-efficient computing. United States.
Hsu, Chung-Hsing, and Feng, Wu-Chun. Tue .
"Adaptive real-time methodology for optimizing energy-efficient computing". United States. https://www.osti.gov/servlets/purl/1018710.
@article{osti_1018710,
title = {Adaptive real-time methodology for optimizing energy-efficient computing},
author = {Hsu, Chung-Hsing and Feng, Wu-Chun},
abstractNote = {Dynamic voltage and frequency scaling (DVFS) is an effective way to reduce energy and power consumption in microprocessor units. Current implementations of DVFS suffer from inaccurate modeling of power requirements and usage, and from inaccurate characterization of the relationships between the applicable variables. A system and method is proposed that adjusts CPU frequency and voltage based on run-time calculations of the workload processing time, as well as a calculation of performance sensitivity with respect to CPU frequency. The system and method are processor independent, and can be applied to either an entire system as a unit, or individually to each process running on a system.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2011},
month = {6}
}
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