Exploring configurable non-volatile memory-based caches for energy-efficient embedded systems

Tosiron Adegbija

doi:10.1145/2902961.2903009

Exploring configurable non-volatile memory-based caches for energy-efficient embedded systems

Tosiron Adegbija

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

3 Scopus citations

Abstract

Non-volatile memory (NVM) technologies have recently emerged as alternatives to traditional SRAM-based cache memories, since NVMs offer advantages such as non-volatility, low leakage power, fast read speed, and high density. However, NVMs also have disadvantages, such as high write latency and energy, which necessitate further research into robust optimization techniques. In this paper, we propose and evaluate configurable non-volatile memories (configNVM) as a viable NVM optimization technique, and show that con-figNVMs can reduce the cache's energy consumption by up to 60%, with minimal performance degradation. We describe the knowledge gaps that must be filled to enable con-figNVMs, and show that configNVMs offer new opportunities for energy efficient caching in embedded systems.

Original language	English (US)
Title of host publication	GLSVLSI 2016 - Proceedings of the 2016 ACM Great Lakes Symposium on VLSI
Publisher	Association for Computing Machinery
Pages	157-162
Number of pages	6
ISBN (Electronic)	9781450342742
DOIs	https://doi.org/10.1145/2902961.2903009
State	Published - May 18 2016
Externally published	Yes
Event	26th ACM Great Lakes Symposium on VLSI, GLSVLSI 2016 - Boston, United States Duration: May 18 2016 → May 20 2016

Publication series

Name	Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI
Volume	18-20-May-2016

Conference

Conference	26th ACM Great Lakes Symposium on VLSI, GLSVLSI 2016
Country/Territory	United States
City	Boston
Period	5/18/16 → 5/20/16

Keywords

Adaptable hardware
Cache memories
Configurable memory
Low-power design
Low-power embedded systems
Non-volatile memory

ASJC Scopus subject areas

General Engineering

Access to Document

10.1145/2902961.2903009

Cite this

Exploring configurable non-volatile memory-based caches for energy-efficient embedded systems. / Adegbija, Tosiron.
GLSVLSI 2016 - Proceedings of the 2016 ACM Great Lakes Symposium on VLSI. Association for Computing Machinery, 2016. p. 157-162 (Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI; Vol. 18-20-May-2016).

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

Adegbija, T 2016, Exploring configurable non-volatile memory-based caches for energy-efficient embedded systems. in GLSVLSI 2016 - Proceedings of the 2016 ACM Great Lakes Symposium on VLSI. Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI, vol. 18-20-May-2016, Association for Computing Machinery, pp. 157-162, 26th ACM Great Lakes Symposium on VLSI, GLSVLSI 2016, Boston, United States, 5/18/16. https://doi.org/10.1145/2902961.2903009

@inproceedings{dfff395c17cf4feba8eb42b047719d96,

title = "Exploring configurable non-volatile memory-based caches for energy-efficient embedded systems",

abstract = "Non-volatile memory (NVM) technologies have recently emerged as alternatives to traditional SRAM-based cache memories, since NVMs offer advantages such as non-volatility, low leakage power, fast read speed, and high density. However, NVMs also have disadvantages, such as high write latency and energy, which necessitate further research into robust optimization techniques. In this paper, we propose and evaluate configurable non-volatile memories (configNVM) as a viable NVM optimization technique, and show that con-figNVMs can reduce the cache's energy consumption by up to 60%, with minimal performance degradation. We describe the knowledge gaps that must be filled to enable con-figNVMs, and show that configNVMs offer new opportunities for energy efficient caching in embedded systems.",

keywords = "Adaptable hardware, Cache memories, Configurable memory, Low-power design, Low-power embedded systems, Non-volatile memory",

author = "Tosiron Adegbija",

note = "Publisher Copyright: {\textcopyright} 2016 ACM.; 26th ACM Great Lakes Symposium on VLSI, GLSVLSI 2016 ; Conference date: 18-05-2016 Through 20-05-2016",

year = "2016",

month = may,

day = "18",

doi = "10.1145/2902961.2903009",

language = "English (US)",

series = "Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI",

publisher = "Association for Computing Machinery",

pages = "157--162",

booktitle = "GLSVLSI 2016 - Proceedings of the 2016 ACM Great Lakes Symposium on VLSI",

}

TY - GEN

T1 - Exploring configurable non-volatile memory-based caches for energy-efficient embedded systems

AU - Adegbija, Tosiron

PY - 2016/5/18

Y1 - 2016/5/18

N2 - Non-volatile memory (NVM) technologies have recently emerged as alternatives to traditional SRAM-based cache memories, since NVMs offer advantages such as non-volatility, low leakage power, fast read speed, and high density. However, NVMs also have disadvantages, such as high write latency and energy, which necessitate further research into robust optimization techniques. In this paper, we propose and evaluate configurable non-volatile memories (configNVM) as a viable NVM optimization technique, and show that con-figNVMs can reduce the cache's energy consumption by up to 60%, with minimal performance degradation. We describe the knowledge gaps that must be filled to enable con-figNVMs, and show that configNVMs offer new opportunities for energy efficient caching in embedded systems.

AB - Non-volatile memory (NVM) technologies have recently emerged as alternatives to traditional SRAM-based cache memories, since NVMs offer advantages such as non-volatility, low leakage power, fast read speed, and high density. However, NVMs also have disadvantages, such as high write latency and energy, which necessitate further research into robust optimization techniques. In this paper, we propose and evaluate configurable non-volatile memories (configNVM) as a viable NVM optimization technique, and show that con-figNVMs can reduce the cache's energy consumption by up to 60%, with minimal performance degradation. We describe the knowledge gaps that must be filled to enable con-figNVMs, and show that configNVMs offer new opportunities for energy efficient caching in embedded systems.

KW - Adaptable hardware

KW - Cache memories

KW - Configurable memory

KW - Low-power design

KW - Low-power embedded systems

KW - Non-volatile memory

UR - http://www.scopus.com/inward/record.url?scp=84974738195&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84974738195&partnerID=8YFLogxK

U2 - 10.1145/2902961.2903009

DO - 10.1145/2902961.2903009

M3 - Conference contribution

AN - SCOPUS:84974738195

T3 - Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI

SP - 157

EP - 162

BT - GLSVLSI 2016 - Proceedings of the 2016 ACM Great Lakes Symposium on VLSI

PB - Association for Computing Machinery

T2 - 26th ACM Great Lakes Symposium on VLSI, GLSVLSI 2016

Y2 - 18 May 2016 through 20 May 2016

ER -

Exploring configurable non-volatile memory-based caches for energy-efficient embedded systems

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this