poster

Energy efficient proactive thermal management in memory subsystem

Authors:

Raid Zuhair Ayoub,

Krishnam Raju Indukuri,

Tajana Simunic RosingAuthors Info & Claims

ISLPED '10: Proceedings of the 16th ACM/IEEE international symposium on Low power electronics and design

Pages 195 - 200

https://doi.org/10.1145/1840845.1840884

Published: 18 August 2010 Publication History

Abstract

Energy management of memory subsystem is challenging due to performance and thermal constraints. Big energy gains can be obtained by clustering memory accesses, however this also leads to a higher need for cooling due to larger temperatures in active areas of memory. Our solution to memory thermal management problem is based on proactive thermal management that intelligently allocates workload pages to few memory units and powers down rest of the memory. Our experimental results show that this approach improves energy savings by 43% and reduces performance overhead by 85% with respect to the state of the art polices.

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Cited By

Katal ADahiya SChoudhury T(2021)Energy efficiency in cloud computing data center: a survey on hardware technologiesCluster Computing10.1007/s10586-021-03431-zOnline publication date: 21-Oct-2021
https://doi.org/10.1007/s10586-021-03431-z
Siddhu LPanda P(2019)PredictNcoolACM Transactions on Embedded Computing Systems10.1145/335820818:5s(1-22)Online publication date: 8-Oct-2019
https://dl.acm.org/doi/10.1145/3358208
Fuentes-Sepulveda JLadra S(2019)Energy Consumption in Compact Integer Vectors: A Study CaseIEEE Access10.1109/ACCESS.2019.29496557(155625-155636)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2949655
Show More Cited By

Index Terms

Energy efficient proactive thermal management in memory subsystem
1. Hardware
  1. Integrated circuits
    1. Semiconductor memory

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Information

Published In

cover image ACM Conferences

ISLPED '10: Proceedings of the 16th ACM/IEEE international symposium on Low power electronics and design

August 2010

458 pages

ISBN:9781450301466

DOI:10.1145/1840845

General Chairs:
Vojin Oklobdzija
University of Texas, Dallas
,
Barry Pangle
Mentor Graphics
,
Naehyuck Chang
Seoul National University
,
Program Chairs:
Naresh Shanbhag
University of Illinois at Urbana-Champaign
,
Chris H. Kim
University of Minnesota

Copyright © 2010 ACM.

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]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 August 2010

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ISLPED'10

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SIGDA

ISLPED'10: International Symposium on Low Power Electronics and Design

August 18 - 20, 2010

Texas, Austin, USA

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

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Cited By

Katal ADahiya SChoudhury T(2021)Energy efficiency in cloud computing data center: a survey on hardware technologiesCluster Computing10.1007/s10586-021-03431-zOnline publication date: 21-Oct-2021
https://doi.org/10.1007/s10586-021-03431-z
Siddhu LPanda P(2019)PredictNcoolACM Transactions on Embedded Computing Systems10.1145/335820818:5s(1-22)Online publication date: 8-Oct-2019
https://dl.acm.org/doi/10.1145/3358208
Fuentes-Sepulveda JLadra S(2019)Energy Consumption in Compact Integer Vectors: A Study CaseIEEE Access10.1109/ACCESS.2019.29496557(155625-155636)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2949655
Moazzemi KKanduri AJuhasz DMiele ARahmani ALiljeberg PJantsch ADutt N(2018)Trends in On-chip Dynamic Resource Management2018 21st Euromicro Conference on Digital System Design (DSD)10.1109/DSD.2018.00025(62-69)Online publication date: Aug-2018
https://doi.org/10.1109/DSD.2018.00025
Ramesh TSuresh R(2018)Co‐scheduling of data intensive jobs and processor redistribution under temperature constraintsConcurrency and Computation: Practice and Experience10.1002/cpe.503332:4Online publication date: 30-Oct-2018
https://doi.org/10.1002/cpe.5033
Jagtap RJung MElsasser WWeis CHansson AWehn NJacob B(2017)Integrating DRAM power-down modes in gem5 and quantifying their impactProceedings of the International Symposium on Memory Systems10.1145/3132402.3132444(86-95)Online publication date: 2-Oct-2017
https://dl.acm.org/doi/10.1145/3132402.3132444
Chaparro-Baquero GShi Sha Homsi SWujie Wen Quan G(2017)Processor/memory Co-Scheduling using periodic resource server for real-time systems under peak temperature constraints2017 18th International Symposium on Quality Electronic Design (ISQED)10.1109/ISQED.2017.7918342(360-366)Online publication date: Mar-2017
https://doi.org/10.1109/ISQED.2017.7918342
Chen YYang CLin PLu Y(2016)Opportunities of synergistically adjusting voltage-frequency levels of cores and DRAMs in CMPs with 3d-stacked DRAMs for efficient thermal controlACM SIGAPP Applied Computing Review10.1145/2924715.292471816:1(26-35)Online publication date: 14-Apr-2016
https://dl.acm.org/doi/10.1145/2924715.2924718
Chen YYang CLin PLu YNadimi ECerny TKim SWang W(2015)Thermal/performance characterization of CMPs with 3D-stacked DRAMs under synergistic voltage-frequency control of cores and DRAMsProceedings of the 2015 Conference on research in adaptive and convergent systems10.1145/2811411.2811515(430-436)Online publication date: 9-Oct-2015
https://dl.acm.org/doi/10.1145/2811411.2811515
Chen KChang ELi HWu A(2015)RC-Based Temperature Prediction Scheme for Proactive Dynamic Thermal Management in Throttle-Based 3D NoCsIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2014.230820626:1(206-218)Online publication date: 1-Jan-2015
https://doi.org/10.1109/TPDS.2014.2308206
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