On the optimal refresh power allocation for energy-efficient memories

Yongjune Kim; Won Ho Choi; Cyril Guyot; Yuval Cassuto

doi:10.1109/GLOBECOM38437.2019.9013465

On the optimal refresh power allocation for energy-efficient memories

Yongjune Kim, Won Ho Choi, Cyril Guyot, Yuval Cassuto

Technion - Israel Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Refresh is an important operation to prevent loss of data in dynamic random-access memory (DRAM). However, frequent refresh operations incur considerable power consumption and degrade system performance. Refresh power cost is especially significant in high-capacity memory devices and battery-powered edge/mobile applications. In this paper, we propose a principled approach to optimizing the refresh power allocation. Given a model for the bit error rate dependence on power, we formulate a convex optimization problem to minimize the word mean squared error for a refresh power constraint; hence we can guarantee the optimality of the obtained refresh power allocations. In addition, we provide an integer programming problem to optimize the discrete refresh interval assignments. For an 8-bit accessed word, numerical results show that the optimized nonuniform refresh intervals reduce the refresh power by 29% at a peak signal-to-noise ratio of 50dB compared to the uniform assignment.

Original language	English
Title of host publication	2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings
ISBN (Electronic)	9781728109626
DOIs	https://doi.org/10.1109/GLOBECOM38437.2019.9013465
State	Published - Dec 2019
Event	2019 IEEE Global Communications Conference, GLOBECOM 2019 - Waikoloa, United States Duration: 9 Dec 2019 → 13 Dec 2019

Publication series

Name	2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings

Conference

Conference	2019 IEEE Global Communications Conference, GLOBECOM 2019
Country/Territory	United States
City	Waikoloa
Period	9/12/19 → 13/12/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Information Systems and Management
Information Systems
Safety, Risk, Reliability and Quality
Signal Processing
Health Informatics
Hardware and Architecture
Computer Networks and Communications
Media Technology

Access to Document

10.1109/GLOBECOM38437.2019.9013465

Cite this

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title = "On the optimal refresh power allocation for energy-efficient memories",

abstract = "Refresh is an important operation to prevent loss of data in dynamic random-access memory (DRAM). However, frequent refresh operations incur considerable power consumption and degrade system performance. Refresh power cost is especially significant in high-capacity memory devices and battery-powered edge/mobile applications. In this paper, we propose a principled approach to optimizing the refresh power allocation. Given a model for the bit error rate dependence on power, we formulate a convex optimization problem to minimize the word mean squared error for a refresh power constraint; hence we can guarantee the optimality of the obtained refresh power allocations. In addition, we provide an integer programming problem to optimize the discrete refresh interval assignments. For an 8-bit accessed word, numerical results show that the optimized nonuniform refresh intervals reduce the refresh power by 29% at a peak signal-to-noise ratio of 50dB compared to the uniform assignment.",

author = "Yongjune Kim and Choi, {Won Ho} and Cyril Guyot and Yuval Cassuto",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Global Communications Conference, GLOBECOM 2019 ; Conference date: 09-12-2019 Through 13-12-2019",

year = "2019",

month = dec,

doi = "10.1109/GLOBECOM38437.2019.9013465",

language = "الإنجليزيّة",

series = "2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings",

booktitle = "2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings",

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Kim, Y, Choi, WH, Guyot, C & Cassuto, Y 2019, On the optimal refresh power allocation for energy-efficient memories. in 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings., 9013465, 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings, 2019 IEEE Global Communications Conference, GLOBECOM 2019, Waikoloa, United States, 9/12/19. https://doi.org/10.1109/GLOBECOM38437.2019.9013465

On the optimal refresh power allocation for energy-efficient memories. / Kim, Yongjune; Choi, Won Ho; Guyot, Cyril et al.
2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings. 2019. 9013465 (2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - On the optimal refresh power allocation for energy-efficient memories

AU - Kim, Yongjune

AU - Choi, Won Ho

AU - Guyot, Cyril

AU - Cassuto, Yuval

PY - 2019/12

Y1 - 2019/12

N2 - Refresh is an important operation to prevent loss of data in dynamic random-access memory (DRAM). However, frequent refresh operations incur considerable power consumption and degrade system performance. Refresh power cost is especially significant in high-capacity memory devices and battery-powered edge/mobile applications. In this paper, we propose a principled approach to optimizing the refresh power allocation. Given a model for the bit error rate dependence on power, we formulate a convex optimization problem to minimize the word mean squared error for a refresh power constraint; hence we can guarantee the optimality of the obtained refresh power allocations. In addition, we provide an integer programming problem to optimize the discrete refresh interval assignments. For an 8-bit accessed word, numerical results show that the optimized nonuniform refresh intervals reduce the refresh power by 29% at a peak signal-to-noise ratio of 50dB compared to the uniform assignment.

AB - Refresh is an important operation to prevent loss of data in dynamic random-access memory (DRAM). However, frequent refresh operations incur considerable power consumption and degrade system performance. Refresh power cost is especially significant in high-capacity memory devices and battery-powered edge/mobile applications. In this paper, we propose a principled approach to optimizing the refresh power allocation. Given a model for the bit error rate dependence on power, we formulate a convex optimization problem to minimize the word mean squared error for a refresh power constraint; hence we can guarantee the optimality of the obtained refresh power allocations. In addition, we provide an integer programming problem to optimize the discrete refresh interval assignments. For an 8-bit accessed word, numerical results show that the optimized nonuniform refresh intervals reduce the refresh power by 29% at a peak signal-to-noise ratio of 50dB compared to the uniform assignment.

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M3 - منشور من مؤتمر

T3 - 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings

BT - 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings

T2 - 2019 IEEE Global Communications Conference, GLOBECOM 2019

Y2 - 9 December 2019 through 13 December 2019

ER -

On the optimal refresh power allocation for energy-efficient memories

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

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Cite this