Demo Data from VLDB 2026 / reviewers in the wild / expert
Jongyeon Kim
dblp:144/4734
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1Software engineering, systems software and programming languages · 1Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author
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 |
Emerging computing paradigms · 70% Integrated circuit design · 23% Processor architecture and microarchitecture · 7% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Emerging computing paradigms › spintronics › spintronic computing
all-spin logic |
0.2 | 1 | 2015 | Spin-Based Computing: Device Concepts, Current Status, and a Case Study on a High-Performance Microprocessor · Proc. IEEE 2015 |
Emerging computing paradigms › beyond-CMOS computing
beyond-CMOS devices |
0.2 | 1 | 2015 | Spin-Based Computing: Device Concepts, Current Status, and a Case Study on a High-Performance Microprocessor · Proc. IEEE 2015 |
Integrated circuit design
low-power circuit design |
0.2 | 1 | 2015 | Spin-Based Computing: Device Concepts, Current Status, and a Case Study on a High-Performance Microprocessor · Proc. IEEE 2015 |
Emerging computing paradigms
spintronics |
0.2 | 1 | 2015 | Spin-Based Computing: Device Concepts, Current Status, and a Case Study on a High-Performance Microprocessor · Proc. IEEE 2015 |
Processor architecture and microarchitecture
microprocessor design |
0.1 | 1 | 2015 | Spin-Based Computing: Device Concepts, Current Status, and a Case Study on a High-Performance Microprocessor · Proc. IEEE 2015 |
Methods — techniques the papers use, named apart from their topics
system-level power simulation · 0.2device modeling · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Spin-Based Computing: Device Concepts, Current Status, and a Case Study on a High-Performance MicroprocessorabstractAs the end draws near for Moore's law, the search for low-power alternatives to complementary metal-oxide-semiconductor (CMOS) technology is intensifying. Among the various post-CMOS candidates, spintronic devices have gained special attention for their potential to overcome the power and performance limitations of CMOS. In particular, all spin logic (ASL) technology, which performs Boolean operations and transfers the output in the spin domain, has been proposed for enabling new capabilities-such as high density, low device count, and nonvolatility-that were previously impossible with CMOS technology. In this paper, first we provide an overview of the history and the current status of the various spintronic devices being pursued by the research community. Then, we describe how spin-based components are integrated into a computing system and the advantages that result. We use a hypothetical spintronic-based Intel Core i7 as a test vehicle to compare the system-level power requirements of ASL- and CMOS-based systems, taking into consideration the unique demands of spin-based interconnects. We conclude with a brief analysis of current limitations and future directions of spintronic research. Jongyeon Kim, Ayan Paul, Paul A. Crowell, Steven J. Koester, Sachin S. Sapatnekar, Jianping Wang 0006, Chris H. Kim |
Proc. IEEE | 1 |
| 2014 | Improving STT-MRAM density through multibit error correctionabstractSTT-MRAMs are prone to data corruption due to inadvertent bit flips. Traditional methods enhance robustness at the cost of area/energy by using larger cell sizes to improve the thermal stability of the MTJ cells. This paper employs multibit error correction with DRAM-style refreshing to mitigate errors and provides a methodology for determining the optimal level of correction. A detailed analysis demonstrates that the reduction in nonvolatility requirements afforded by strong error correction translates to significantly lower area for the memory array compared to simpler ECC schemes, even when accounting for the increased overhead of error correction. Brandon Del Bel, Jongyeon Kim, Chris H. Kim, Sachin S. Sapatnekar |
DATE | 2 |