EDBT 2026 Demo / reviewers in the wild / expert
Zongxia Guo
dblp:224/4289
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Memory systems › non-volatile memory
magnetic random access memory |
0.5 | 1 | 2021 | Spintronics for Energy- Efficient Computing: An Overview and Outlook · Proc. IEEE 2021 |
Memory systems
non-volatile memory |
0.5 | 1 | 2021 | Spintronics for Energy- Efficient Computing: An Overview and Outlook · Proc. IEEE 2021 |
Memory systems
processing-in-memory |
0.5 | 1 | 2021 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Spintronics for Energy- Efficient Computing: An Overview and OutlookabstractFrom 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. IEEE | 1 |