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Zongxia Guo

dblp:224/4289 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2021
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Memory systems · 91% Energy-efficient computing · 9%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Memory systems › non-volatile memory
magnetic random access memory
0.512021
Spintronics for Energy- Efficient Computing: An Overview and Outlook · Proc. IEEE 2021
Memory systems
non-volatile memory
0.512021
Spintronics for Energy- Efficient Computing: An Overview and Outlook · Proc. IEEE 2021
Memory systems
processing-in-memory
0.512021
Spintronics for Energy- Efficient Computing: An Overview and Outlook · Proc. IEEE 2021

Methods — techniques the papers use, named apart from their topics

spintronics · 0.5spin-orbit torque switching · 0.5
YearPublicationVenuePosition
2021 Spintronics for Energy- Efficient Computing: An Overview and Outlook
abstract
From the discovery of giant magnetoresistance (GMR) to tunnel magnetoresistance (TMR), their subsequent application in large capacity hard disk drives (HDDs) greatly speeded up the information era over the past decades. However, the growing demand for big-data storage and processing is limited by the von-Neumann architecture due to the memory bottleneck and power dissipation. Taking advantage of nonvolatility, high speed, and low power, magnetic random access memory (MRAM) becomes a promising candidate to overcome this limitation through processing-in-memory (PIM) architectures. In this article, we provide an overview of existing technology and give a roadmap of spintronic devices for future energy-efficient computing and its relevant integration architectures. We begin with the fundamentals of Toggle-MRAM and spin-transfer torque (STT)-MRAM, which already have commercial applications. We then introduce spin-orbit torque (SOT), a critical mechanism to realize low-power data manipulation in the next generation of MRAM and summarize the recent experimental breakthroughs of field-free SOT switching schemes. Finally, we present MRAM-based PIM architectures and novel spintronic devices, provide an application outlook, and deliver the future development potential of energy-efficient computing systems.
Zongxia Guo, Jialiang Yin, Daoqian Zhu, Kewen Shi, Gefei Wang, Kaihua Cao, Weisheng Zhao 0001
Proc. IEEE1