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Title: Hybrid prioritized resource allocation in thermally-or power-constrained computing devices

Abstract

Various embodiments comprise prioritizing frequency allocations in thermally- or power-constrained computing devices. Computer elements may be assigned ‘weights’ based on their priorities. The computer elements with higher weights may receive higher frequency allocations to assure they receive priority in processing more quickly. The computer elements with lower weights may receive lower frequency allocations and suffer a slowdown in their processing. Elements with the same weight may be grouped together for the purpose of frequency allocation.

Inventors:
; ; ; ; ; ;
Issue Date:
Research Org.:
Intel Corporation, Santa Clara, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1860143
Patent Number(s):
11194373
Application Number:
16/853,570
Assignee:
Intel Corporation (Santa Clara, CA)
Patent Classifications (CPCs):
G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
H - ELECTRICITY H04 - ELECTRIC COMMUNICATION TECHNIQUE H04L - TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
DOE Contract Number:  
B609815
Resource Type:
Patent
Resource Relation:
Patent File Date: 04/20/2020
Country of Publication:
United States
Language:
English

Citation Formats

Al-Rawi, Asma, Ardanaz, Federico, Eastep, Jonathan M., Gupta, Nikhil, Varma, Ankush, Sistla, Krishnakanth V., and Steiner, Ian M. Hybrid prioritized resource allocation in thermally-or power-constrained computing devices. United States: N. p., 2021. Web.
Al-Rawi, Asma, Ardanaz, Federico, Eastep, Jonathan M., Gupta, Nikhil, Varma, Ankush, Sistla, Krishnakanth V., & Steiner, Ian M. Hybrid prioritized resource allocation in thermally-or power-constrained computing devices. United States.
Al-Rawi, Asma, Ardanaz, Federico, Eastep, Jonathan M., Gupta, Nikhil, Varma, Ankush, Sistla, Krishnakanth V., and Steiner, Ian M. Tue . "Hybrid prioritized resource allocation in thermally-or power-constrained computing devices". United States. https://www.osti.gov/servlets/purl/1860143.
@article{osti_1860143,
title = {Hybrid prioritized resource allocation in thermally-or power-constrained computing devices},
author = {Al-Rawi, Asma and Ardanaz, Federico and Eastep, Jonathan M. and Gupta, Nikhil and Varma, Ankush and Sistla, Krishnakanth V. and Steiner, Ian M.},
abstractNote = {Various embodiments comprise prioritizing frequency allocations in thermally- or power-constrained computing devices. Computer elements may be assigned ‘weights’ based on their priorities. The computer elements with higher weights may receive higher frequency allocations to assure they receive priority in processing more quickly. The computer elements with lower weights may receive lower frequency allocations and suffer a slowdown in their processing. Elements with the same weight may be grouped together for the purpose of frequency allocation.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2021},
month = {12}
}

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System and method of adaptive voltage frequency scaling
patent, April 2017


Method of Exploiting Spare Processors to Reduce Energy Consumption
patent-application, June 2011


Hybrid prioritized resource allocation in thermally- or power-constrained computing devices
patent, April 2020


Method, Apparatus, and System for Energy Efficiency and Energy Conservation Including Configurable Maximum Processor Current
patent-application, August 2012


Scheduling processor voltages and frequencies based on performance prediction and power constraints
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Hybrid Prioritized Resource Allocation in Thermally- or Power-Constrained Computing Devices
patent-application, February 2019


Scheduling processor voltages and frequencies based on performance prediction and power constraints
patent-application, August 2008


Power Aware Job Scheduler and Manager for a Data Processing System
patent-application, February 2016


System and method for optimized task scheduling in a heterogeneous data processing system
patent-application, July 2006


System and Method for Controlling Power Consumption in a Computer System Based on User Satisfaction
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