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Shinho Chu

dblp:297/4256 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2026
—ORCID · none

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

Systems, architecture and hardware · 2 · 2 since 2021Software engineering, systems software and programming languages · 1 · 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
Electronic design automation · 81% Memory systems · 19%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Memory systems › DRAM
DRAM architecture
1.012026
Comprehensive PDN Methodology for DRAM: Early PDN and Iterative PDN · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2026
Electronic design automation › physical design › power grid analysis
IR drop analysis
1.012026
Comprehensive PDN Methodology for DRAM: Early PDN and Iterative PDN · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2026
Electronic design automation
physical design
1.012026
Comprehensive PDN Methodology for DRAM: Early PDN and Iterative PDN · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2026
Electronic design automation › physical design
power delivery network design
1.012026
Comprehensive PDN Methodology for DRAM: Early PDN and Iterative PDN · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2026
Electronic design automation
power integrity
1.012026
Comprehensive PDN Methodology for DRAM: Early PDN and Iterative PDN · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2026

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

simplified modeling · 1.0iterative analysis · 1.0
YearPublicationVenuePosition
2026 Comprehensive PDN Methodology for DRAM: Early PDN and Iterative PDN
abstract
In modern DRAM design, IR-drop has emerged as a critical factor leading to operation failures, primarily due to reduced metal resources and increased supply current demands. Consequently, estimating and addressing IR-drop throughout the DRAM design process has become a crucial sign-off consideration. The proposed comprehensive methodology for the power delivery network (PDN) includes accurate and efficient estimation at two key stages: early in the design process (Early PDN) and during post-physical design sign-off validation (Iterative PDN). The Early PDN approach employs simplified modeling to achieve reasonable accuracy, serving as a guideline for the initial PDN design. Subsequently, the Iterative PDN method provides a fast yet detailed analysis of the entire DRAM, including the PDN, ensuring it is suitable for final sign-off. By applying this methodology, PDN behavior can be effectively predicted and optimized, ensuring robustness. This enhances the reliability and performance of DRAM designs.
Jinhoon Hyun, In-Chul Jeong, Shinho Chu, Jaemyung Lim
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.3
2021 Process-Portable and Programmable Layout Generation of Digital Circuits in Advanced DRAM Technologies
abstract
This paper introduces a physical layout design methodology that produces DRC-clean, area-efficient, and programmable layouts of digital circuits in advanced DRAM processes. The proposed methodology automates the layout generation process to enhance design productivity, while still providing rich customization for efficient area and routing resource utilizations. Process-specific parameterized cells (PCells) are combined with process-independent place-and-route functions to automatically generate area-efficient and programmable layouts. Routing grids are optimized to enhance the area and routing efficiency. The proposed method reduced the design time of digital layouts by 80% compared to a manual design with high layout qualities, significantly enhancing the design productivity.
Youngbog Yoon, Daeyong Han, Shinho Chu, Jaeduk Han, Junhyun Chun
DATE3