High-performance STT-MRAM Logic-in-Memory Scheme Utilizing Data Read Features Article Swipe

PDF

Kai Liu , Bi Wu , Haonan Zhu , Weiqiang Liu ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.1145/3565478.3572322

In the Big Data era, enormous amounts of data processing have caused an intolerable 'memory wall' challenge for traditional Von Neumann architectures. Therefore, more advanced Logic-in-memory (LiM) computing architectures are proposed with integrated computing and memory units that reduce data migration. The emerging non-volatile memory STT-MRAM, with its fast access speed, near-zero leakage power consumption and high density is one of the most competitive carriers for LiM architectures. This work introduces the principle of LiM and proposes four basic logic operations (XNOR, XOR, AND and OR) based on STT-MRAM. Incorporating the reading characteristics of STT-MRAM and slight modifications to the peripheral circuitry, these operations achieve significant optimisation in terms of latency and energy consumption. From the experimental results, the proposed scheme can reduce the latency of XOR, AND and OR operations at least by 99.3%, 82.2% and 80.2% compared with the existing design. Also, 500 Monte Carlo samples prove the feasibility and robustness of the proposed scheme.

Related Topics

Concepts

Computer science Magnetoresistive random-access memory XNOR gate Robustness (evolution) Parallel computing Logic gate Data retention Von Neumann architecture Power consumption Computer hardware Embedded system Power (physics) Algorithm Random access memory Gene NAND gate Operating system Chemistry Biochemistry Physics Quantum mechanics Computer security

Metadata

Type: article
Language: en
Landing Page: https://doi.org/10.1145/3565478.3572322
PDF: https://dl.acm.org/doi/pdf/10.1145/3565478.3572322
OA Status: gold
References: 18
Related Works: 10
OpenAlex ID: https://openalex.org/W4378881778

All OpenAlex metadata

Raw OpenAlex JSON

OpenAlex ID: https://openalex.org/W4378881778

Canonical identifier for this work in OpenAlex
DOI: https://doi.org/10.1145/3565478.3572322

Digital Object Identifier
Title: High-performance STT-MRAM Logic-in-Memory Scheme Utilizing Data Read Features

Work title
Type: article

OpenAlex work type
Language: en

Primary language
Publication year: 2022

Year of publication
Publication date: 2022-12-07

Full publication date if available
Authors: Kai Liu, Bi Wu, Haonan Zhu, Weiqiang Liu

List of authors in order
Landing page: https://doi.org/10.1145/3565478.3572322

Publisher landing page
PDF URL: https://dl.acm.org/doi/pdf/10.1145/3565478.3572322

Direct link to full text PDF
Open access: Yes

Whether a free full text is available
OA status: gold

Open access status per OpenAlex
OA URL: https://dl.acm.org/doi/pdf/10.1145/3565478.3572322

Direct OA link when available
Concepts: Computer science, Magnetoresistive random-access memory, XNOR gate, Robustness (evolution), Parallel computing, Logic gate, Data retention, Von Neumann architecture, Power consumption, Computer hardware, Embedded system, Power (physics), Algorithm, Random access memory, Gene, NAND gate, Operating system, Chemistry, Biochemistry, Physics, Quantum mechanics, Computer security

Top concepts (fields/topics) attached by OpenAlex
Cited by: 0

Total citation count in OpenAlex
References (count): 18

Number of works referenced by this work
Related works (count): 10

Other works algorithmically related by OpenAlex

Full payload

id	https://openalex.org/W4378881778
doi	https://doi.org/10.1145/3565478.3572322
ids.doi	https://doi.org/10.1145/3565478.3572322
ids.openalex	https://openalex.org/W4378881778
fwci	0.0
type	article
title	High-performance STT-MRAM Logic-in-Memory Scheme Utilizing Data Read Features
awards[0].id	https://openalex.org/G218003445
awards[0].funder_id	https://openalex.org/F4320322769
awards[0].display_name
awards[0].funder_award_id	BK20210286
awards[0].funder_display_name	Natural Science Foundation of Jiangsu Province
awards[1].id	https://openalex.org/G6163019364
awards[1].funder_id	https://openalex.org/F4320335787
awards[1].display_name
awards[1].funder_award_id	NP2022103
awards[1].funder_display_name	Fundamental Research Funds for the Central Universities
awards[2].id	https://openalex.org/G4070429046
awards[2].funder_id	https://openalex.org/F4320321001
awards[2].display_name
awards[2].funder_award_id	62022041
awards[2].funder_display_name	National Natural Science Foundation of China
awards[3].id	https://openalex.org/G2637199994
awards[3].funder_id	https://openalex.org/F4320321001
awards[3].display_name
awards[3].funder_award_id	62201254
awards[3].funder_display_name	National Natural Science Foundation of China
biblio.issue
biblio.volume
biblio.last_page	6
biblio.first_page	1
topics[0].id	https://openalex.org/T12808
topics[0].field.id	https://openalex.org/fields/22
topics[0].field.display_name	Engineering
topics[0].score	1.0
topics[0].domain.id	https://openalex.org/domains/3
topics[0].domain.display_name	Physical Sciences
topics[0].subfield.id	https://openalex.org/subfields/2208
topics[0].subfield.display_name	Electrical and Electronic Engineering
topics[0].display_name	Ferroelectric and Negative Capacitance Devices
topics[1].id	https://openalex.org/T10502
topics[1].field.id	https://openalex.org/fields/22
topics[1].field.display_name	Engineering
topics[1].score	1.0
topics[1].domain.id	https://openalex.org/domains/3
topics[1].domain.display_name	Physical Sciences
topics[1].subfield.id	https://openalex.org/subfields/2208
topics[1].subfield.display_name	Electrical and Electronic Engineering
topics[1].display_name	Advanced Memory and Neural Computing
topics[2].id	https://openalex.org/T10472
topics[2].field.id	https://openalex.org/fields/22
topics[2].field.display_name	Engineering
topics[2].score	0.9997000098228455
topics[2].domain.id	https://openalex.org/domains/3
topics[2].domain.display_name	Physical Sciences
topics[2].subfield.id	https://openalex.org/subfields/2208
topics[2].subfield.display_name	Electrical and Electronic Engineering
topics[2].display_name	Semiconductor materials and devices
funders[0].id	https://openalex.org/F4320321001
funders[0].ror	https://ror.org/01h0zpd94
funders[0].display_name	National Natural Science Foundation of China
funders[1].id	https://openalex.org/F4320322769
funders[1].ror	https://ror.org/01h0zpd94
funders[1].display_name	Natural Science Foundation of Jiangsu Province
funders[2].id	https://openalex.org/F4320335787
funders[2].ror
funders[2].display_name	Fundamental Research Funds for the Central Universities
is_xpac	False
apc_list
apc_paid
concepts[0].id	https://openalex.org/C41008148
concepts[0].level	0
concepts[0].score	0.7654353380203247
concepts[0].wikidata	https://www.wikidata.org/wiki/Q21198
concepts[0].display_name	Computer science
concepts[1].id	https://openalex.org/C46891859
concepts[1].level	3
concepts[1].score	0.6967352628707886
concepts[1].wikidata	https://www.wikidata.org/wiki/Q1061546
concepts[1].display_name	Magnetoresistive random-access memory
concepts[2].id	https://openalex.org/C57684291
concepts[2].level	4
concepts[2].score	0.6492869853973389
concepts[2].wikidata	https://www.wikidata.org/wiki/Q1336142
concepts[2].display_name	XNOR gate
concepts[3].id	https://openalex.org/C63479239
concepts[3].level	3
concepts[3].score	0.5452902317047119
concepts[3].wikidata	https://www.wikidata.org/wiki/Q7353546
concepts[3].display_name	Robustness (evolution)
concepts[4].id	https://openalex.org/C173608175
concepts[4].level	1
concepts[4].score	0.5227729678153992
concepts[4].wikidata	https://www.wikidata.org/wiki/Q232661
concepts[4].display_name	Parallel computing
concepts[5].id	https://openalex.org/C131017901
concepts[5].level	2
concepts[5].score	0.4842767119407654
concepts[5].wikidata	https://www.wikidata.org/wiki/Q170451
concepts[5].display_name	Logic gate
concepts[6].id	https://openalex.org/C2780866740
concepts[6].level	2
concepts[6].score	0.47274789214134216
concepts[6].wikidata	https://www.wikidata.org/wiki/Q5227345
concepts[6].display_name	Data retention
concepts[7].id	https://openalex.org/C80469333
concepts[7].level	2
concepts[7].score	0.41558894515037537
concepts[7].wikidata	https://www.wikidata.org/wiki/Q189088
concepts[7].display_name	Von Neumann architecture
concepts[8].id	https://openalex.org/C2984118289
concepts[8].level	3
concepts[8].score	0.4129786193370819
concepts[8].wikidata	https://www.wikidata.org/wiki/Q29954
concepts[8].display_name	Power consumption
concepts[9].id	https://openalex.org/C9390403
concepts[9].level	1
concepts[9].score	0.3965778946876526
concepts[9].wikidata	https://www.wikidata.org/wiki/Q3966
concepts[9].display_name	Computer hardware
concepts[10].id	https://openalex.org/C149635348
concepts[10].level	1
concepts[10].score	0.37949472665786743
concepts[10].wikidata	https://www.wikidata.org/wiki/Q193040
concepts[10].display_name	Embedded system
concepts[11].id	https://openalex.org/C163258240
concepts[11].level	2
concepts[11].score	0.21912497282028198
concepts[11].wikidata	https://www.wikidata.org/wiki/Q25342
concepts[11].display_name	Power (physics)
concepts[12].id	https://openalex.org/C11413529
concepts[12].level	1
concepts[12].score	0.1673923134803772
concepts[12].wikidata	https://www.wikidata.org/wiki/Q8366
concepts[12].display_name	Algorithm
concepts[13].id	https://openalex.org/C2994168587
concepts[13].level	2
concepts[13].score	0.15116527676582336
concepts[13].wikidata	https://www.wikidata.org/wiki/Q5295
concepts[13].display_name	Random access memory
concepts[14].id	https://openalex.org/C104317684
concepts[14].level	2
concepts[14].score	0.0
concepts[14].wikidata	https://www.wikidata.org/wiki/Q7187
concepts[14].display_name	Gene
concepts[15].id	https://openalex.org/C124296912
concepts[15].level	3
concepts[15].score	0.0
concepts[15].wikidata	https://www.wikidata.org/wiki/Q575178
concepts[15].display_name	NAND gate
concepts[16].id	https://openalex.org/C111919701
concepts[16].level	1
concepts[16].score	0.0
concepts[16].wikidata	https://www.wikidata.org/wiki/Q9135
concepts[16].display_name	Operating system
concepts[17].id	https://openalex.org/C185592680
concepts[17].level	0
concepts[17].score	0.0
concepts[17].wikidata	https://www.wikidata.org/wiki/Q2329
concepts[17].display_name	Chemistry
concepts[18].id	https://openalex.org/C55493867
concepts[18].level	1
concepts[18].score	0.0
concepts[18].wikidata	https://www.wikidata.org/wiki/Q7094
concepts[18].display_name	Biochemistry
concepts[19].id	https://openalex.org/C121332964
concepts[19].level	0
concepts[19].score	0.0
concepts[19].wikidata	https://www.wikidata.org/wiki/Q413
concepts[19].display_name	Physics
concepts[20].id	https://openalex.org/C62520636
concepts[20].level	1
concepts[20].score	0.0
concepts[20].wikidata	https://www.wikidata.org/wiki/Q944
concepts[20].display_name	Quantum mechanics
concepts[21].id	https://openalex.org/C38652104
concepts[21].level	1
concepts[21].score	0.0
concepts[21].wikidata	https://www.wikidata.org/wiki/Q3510521
concepts[21].display_name	Computer security
keywords[0].id	https://openalex.org/keywords/computer-science
keywords[0].score	0.7654353380203247
keywords[0].display_name	Computer science
keywords[1].id	https://openalex.org/keywords/magnetoresistive-random-access-memory
keywords[1].score	0.6967352628707886
keywords[1].display_name	Magnetoresistive random-access memory
keywords[2].id	https://openalex.org/keywords/xnor-gate
keywords[2].score	0.6492869853973389
keywords[2].display_name	XNOR gate
keywords[3].id	https://openalex.org/keywords/robustness
keywords[3].score	0.5452902317047119
keywords[3].display_name	Robustness (evolution)
keywords[4].id	https://openalex.org/keywords/parallel-computing
keywords[4].score	0.5227729678153992
keywords[4].display_name	Parallel computing
keywords[5].id	https://openalex.org/keywords/logic-gate
keywords[5].score	0.4842767119407654
keywords[5].display_name	Logic gate
keywords[6].id	https://openalex.org/keywords/data-retention
keywords[6].score	0.47274789214134216
keywords[6].display_name	Data retention
keywords[7].id	https://openalex.org/keywords/von-neumann-architecture
keywords[7].score	0.41558894515037537
keywords[7].display_name	Von Neumann architecture
keywords[8].id	https://openalex.org/keywords/power-consumption
keywords[8].score	0.4129786193370819
keywords[8].display_name	Power consumption
keywords[9].id	https://openalex.org/keywords/computer-hardware
keywords[9].score	0.3965778946876526
keywords[9].display_name	Computer hardware
keywords[10].id	https://openalex.org/keywords/embedded-system
keywords[10].score	0.37949472665786743
keywords[10].display_name	Embedded system
keywords[11].id	https://openalex.org/keywords/power
keywords[11].score	0.21912497282028198
keywords[11].display_name	Power (physics)
keywords[12].id	https://openalex.org/keywords/algorithm
keywords[12].score	0.1673923134803772
keywords[12].display_name	Algorithm
keywords[13].id	https://openalex.org/keywords/random-access-memory
keywords[13].score	0.15116527676582336
keywords[13].display_name	Random access memory
language	en
locations[0].id	doi:10.1145/3565478.3572322
locations[0].is_oa	True
locations[0].source
locations[0].license
locations[0].pdf_url	https://dl.acm.org/doi/pdf/10.1145/3565478.3572322
locations[0].version	publishedVersion
locations[0].raw_type	proceedings-article
locations[0].license_id
locations[0].is_accepted	True
locations[0].is_published	True
locations[0].raw_source_name	Proceedings of the 17th ACM International Symposium on Nanoscale Architectures
locations[0].landing_page_url	https://doi.org/10.1145/3565478.3572322
indexed_in	crossref
authorships[0].author.id	https://openalex.org/A5092057851
authorships[0].author.orcid	https://orcid.org/0000-0001-9416-0037
authorships[0].author.display_name	Kai Liu
authorships[0].countries	CN
authorships[0].affiliations[0].institution_ids	https://openalex.org/I9842412
authorships[0].affiliations[0].raw_affiliation_string	Nanjing University of Aeronautics and Astronautics (NUAA), N/A, China
authorships[0].institutions[0].id	https://openalex.org/I9842412
authorships[0].institutions[0].ror	https://ror.org/01scyh794
authorships[0].institutions[0].type	education
authorships[0].institutions[0].lineage	https://openalex.org/I9842412
authorships[0].institutions[0].country_code	CN
authorships[0].institutions[0].display_name	Nanjing University of Aeronautics and Astronautics
authorships[0].author_position	first
authorships[0].raw_author_name	Kai Liu
authorships[0].is_corresponding	False
authorships[0].raw_affiliation_strings	Nanjing University of Aeronautics and Astronautics (NUAA), N/A, China
authorships[1].author.id	https://openalex.org/A5090343850
authorships[1].author.orcid	https://orcid.org/0000-0001-9972-0478
authorships[1].author.display_name	Bi Wu
authorships[1].countries	CN
authorships[1].affiliations[0].institution_ids	https://openalex.org/I9842412
authorships[1].affiliations[0].raw_affiliation_string	Nanjing University of Aeronautics and Astronautics (NUAA), N/A, China
authorships[1].institutions[0].id	https://openalex.org/I9842412
authorships[1].institutions[0].ror	https://ror.org/01scyh794
authorships[1].institutions[0].type	education
authorships[1].institutions[0].lineage	https://openalex.org/I9842412
authorships[1].institutions[0].country_code	CN
authorships[1].institutions[0].display_name	Nanjing University of Aeronautics and Astronautics
authorships[1].author_position	middle
authorships[1].raw_author_name	Bi Wu
authorships[1].is_corresponding	False
authorships[1].raw_affiliation_strings	Nanjing University of Aeronautics and Astronautics (NUAA), N/A, China
authorships[2].author.id	https://openalex.org/A5037512395
authorships[2].author.orcid	https://orcid.org/0000-0002-5644-3105
authorships[2].author.display_name	Haonan Zhu
authorships[2].countries	CN
authorships[2].affiliations[0].institution_ids	https://openalex.org/I9842412
authorships[2].affiliations[0].raw_affiliation_string	Nanjing University of Aeronautics and Astronautics (NUAA), N/A, China
authorships[2].institutions[0].id	https://openalex.org/I9842412
authorships[2].institutions[0].ror	https://ror.org/01scyh794
authorships[2].institutions[0].type	education
authorships[2].institutions[0].lineage	https://openalex.org/I9842412
authorships[2].institutions[0].country_code	CN
authorships[2].institutions[0].display_name	Nanjing University of Aeronautics and Astronautics
authorships[2].author_position	middle
authorships[2].raw_author_name	Haonan Zhu
authorships[2].is_corresponding	False
authorships[2].raw_affiliation_strings	Nanjing University of Aeronautics and Astronautics (NUAA), N/A, China
authorships[3].author.id	https://openalex.org/A5023734605
authorships[3].author.orcid	https://orcid.org/0000-0001-8398-8648
authorships[3].author.display_name	Weiqiang Liu
authorships[3].countries	CN
authorships[3].affiliations[0].institution_ids	https://openalex.org/I9842412
authorships[3].affiliations[0].raw_affiliation_string	Nanjing University of Aeronautics and Astronautics (NUAA), N/A, China
authorships[3].institutions[0].id	https://openalex.org/I9842412
authorships[3].institutions[0].ror	https://ror.org/01scyh794
authorships[3].institutions[0].type	education
authorships[3].institutions[0].lineage	https://openalex.org/I9842412
authorships[3].institutions[0].country_code	CN
authorships[3].institutions[0].display_name	Nanjing University of Aeronautics and Astronautics
authorships[3].author_position	last
authorships[3].raw_author_name	Weiqiang Liu
authorships[3].is_corresponding	False
authorships[3].raw_affiliation_strings	Nanjing University of Aeronautics and Astronautics (NUAA), N/A, China
has_content.pdf	True
has_content.grobid_xml	True
is_paratext	False
open_access.is_oa	True
open_access.oa_url	https://dl.acm.org/doi/pdf/10.1145/3565478.3572322
open_access.oa_status	gold
open_access.any_repository_has_fulltext	False
created_date	2025-10-10T00:00:00
display_name	High-performance STT-MRAM Logic-in-Memory Scheme Utilizing Data Read Features
has_fulltext	True
is_retracted	False
updated_date	2025-11-06T03:46:38.306776
primary_topic.id	https://openalex.org/T12808
primary_topic.field.id	https://openalex.org/fields/22
primary_topic.field.display_name	Engineering
primary_topic.score	1.0
primary_topic.domain.id	https://openalex.org/domains/3
primary_topic.domain.display_name	Physical Sciences
primary_topic.subfield.id	https://openalex.org/subfields/2208
primary_topic.subfield.display_name	Electrical and Electronic Engineering
primary_topic.display_name	Ferroelectric and Negative Capacitance Devices
related_works	https://openalex.org/W2108719777, https://openalex.org/W2910771446, https://openalex.org/W3109940112, https://openalex.org/W3133379968, https://openalex.org/W2585458402, https://openalex.org/W2568019164, https://openalex.org/W2965730488, https://openalex.org/W4390763030, https://openalex.org/W2964442707, https://openalex.org/W2525437650
cited_by_count	0
locations_count	1
best_oa_location.id	doi:10.1145/3565478.3572322
best_oa_location.is_oa	True
best_oa_location.source
best_oa_location.license
best_oa_location.pdf_url	https://dl.acm.org/doi/pdf/10.1145/3565478.3572322
best_oa_location.version	publishedVersion
best_oa_location.raw_type	proceedings-article
best_oa_location.license_id
best_oa_location.is_accepted	True
best_oa_location.is_published	True
best_oa_location.raw_source_name	Proceedings of the 17th ACM International Symposium on Nanoscale Architectures
best_oa_location.landing_page_url	https://doi.org/10.1145/3565478.3572322
primary_location.id	doi:10.1145/3565478.3572322
primary_location.is_oa	True
primary_location.source
primary_location.license
primary_location.pdf_url	https://dl.acm.org/doi/pdf/10.1145/3565478.3572322
primary_location.version	publishedVersion
primary_location.raw_type	proceedings-article
primary_location.license_id
primary_location.is_accepted	True
primary_location.is_published	True
primary_location.raw_source_name	Proceedings of the 17th ACM International Symposium on Nanoscale Architectures
primary_location.landing_page_url	https://doi.org/10.1145/3565478.3572322
publication_date	2022-12-07
publication_year	2022
referenced_works	https://openalex.org/W2980688670, https://openalex.org/W3163816073, https://openalex.org/W2593172471, https://openalex.org/W1996356878, https://openalex.org/W3186511633, https://openalex.org/W2058483530, https://openalex.org/W2321339000, https://openalex.org/W4288391423, https://openalex.org/W2976137532, https://openalex.org/W2942267901, https://openalex.org/W2527848006, https://openalex.org/W2945270315, https://openalex.org/W3134703406, https://openalex.org/W2944473316, https://openalex.org/W2920042105, https://openalex.org/W2591601611, https://openalex.org/W1985330137, https://openalex.org/W2110276925
referenced_works_count	18
abstract_inverted_index.In	0
abstract_inverted_index.OR	129
abstract_inverted_index.an	12
abstract_inverted_index.at	131
abstract_inverted_index.by	133
abstract_inverted_index.in	107
abstract_inverted_index.is	58
abstract_inverted_index.of	7, 60, 73, 93, 109, 125, 153
abstract_inverted_index.on	87
abstract_inverted_index.to	98
abstract_inverted_index.500	144
abstract_inverted_index.AND	83, 127
abstract_inverted_index.Big	2
abstract_inverted_index.LiM	66, 74
abstract_inverted_index.OR)	85
abstract_inverted_index.The	41
abstract_inverted_index.Von	19
abstract_inverted_index.and	34, 55, 75, 84, 95, 111, 128, 136, 151
abstract_inverted_index.are	29
abstract_inverted_index.can	121
abstract_inverted_index.for	17, 65
abstract_inverted_index.its	47
abstract_inverted_index.one	59
abstract_inverted_index.the	1, 61, 71, 90, 99, 115, 118, 123, 140, 149, 154
abstract_inverted_index.Data	3
abstract_inverted_index.From	114
abstract_inverted_index.This	68
abstract_inverted_index.XOR,	82, 126
abstract_inverted_index.data	8, 39
abstract_inverted_index.era,	4
abstract_inverted_index.fast	48
abstract_inverted_index.four	77
abstract_inverted_index.have	10
abstract_inverted_index.high	56
abstract_inverted_index.more	23
abstract_inverted_index.most	62
abstract_inverted_index.that	37
abstract_inverted_index.with	31, 46, 139
abstract_inverted_index.work	69
abstract_inverted_index.(LiM)	26
abstract_inverted_index.80.2%	137
abstract_inverted_index.82.2%	135
abstract_inverted_index.Also,	143
abstract_inverted_index.Carlo	146
abstract_inverted_index.Monte	145
abstract_inverted_index.based	86
abstract_inverted_index.basic	78
abstract_inverted_index.least	132
abstract_inverted_index.logic	79
abstract_inverted_index.power	53
abstract_inverted_index.prove	148
abstract_inverted_index.terms	108
abstract_inverted_index.these	102
abstract_inverted_index.units	36
abstract_inverted_index.wall'	15
abstract_inverted_index.(XNOR,	81
abstract_inverted_index.99.3%,	134
abstract_inverted_index.access	49
abstract_inverted_index.caused	11
abstract_inverted_index.energy	112
abstract_inverted_index.memory	35, 44
abstract_inverted_index.reduce	38, 122
abstract_inverted_index.scheme	120
abstract_inverted_index.slight	96
abstract_inverted_index.speed,	50
abstract_inverted_index.'memory	14
abstract_inverted_index.Neumann	20
abstract_inverted_index.achieve	104
abstract_inverted_index.amounts	6
abstract_inverted_index.density	57
abstract_inverted_index.design.	142
abstract_inverted_index.latency	110, 124
abstract_inverted_index.leakage	52
abstract_inverted_index.reading	91
abstract_inverted_index.samples	147
abstract_inverted_index.scheme.	156
abstract_inverted_index.STT-MRAM	94
abstract_inverted_index.advanced	24
abstract_inverted_index.carriers	64
abstract_inverted_index.compared	138
abstract_inverted_index.emerging	42
abstract_inverted_index.enormous	5
abstract_inverted_index.existing	141
abstract_inverted_index.proposed	30, 119, 155
abstract_inverted_index.proposes	76
abstract_inverted_index.results,	117
abstract_inverted_index.STT-MRAM,	45
abstract_inverted_index.STT-MRAM.	88
abstract_inverted_index.challenge	16
abstract_inverted_index.computing	27, 33
abstract_inverted_index.near-zero	51
abstract_inverted_index.principle	72
abstract_inverted_index.Therefore,	22
abstract_inverted_index.circuitry,	101
abstract_inverted_index.integrated	32
abstract_inverted_index.introduces	70
abstract_inverted_index.migration.	40
abstract_inverted_index.operations	80, 103, 130
abstract_inverted_index.peripheral	100
abstract_inverted_index.processing	9
abstract_inverted_index.robustness	152
abstract_inverted_index.competitive	63
abstract_inverted_index.consumption	54
abstract_inverted_index.feasibility	150
abstract_inverted_index.intolerable	13
abstract_inverted_index.significant	105
abstract_inverted_index.traditional	18
abstract_inverted_index.consumption.	113
abstract_inverted_index.experimental	116
abstract_inverted_index.non-volatile	43
abstract_inverted_index.optimisation	106
abstract_inverted_index.Incorporating	89
abstract_inverted_index.architectures	28
abstract_inverted_index.modifications	97
abstract_inverted_index.architectures.	21, 67
abstract_inverted_index.Logic-in-memory	25
abstract_inverted_index.characteristics	92
cited_by_percentile_year
countries_distinct_count	1
institutions_distinct_count	4
sustainable_development_goals[0].id	https://metadata.un.org/sdg/7
sustainable_development_goals[0].score	0.8999999761581421
sustainable_development_goals[0].display_name	Affordable and clean energy
citation_normalized_percentile.value	0.17103742
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	False