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Cheng-Hsiu Hsieh

dblp:389/6960 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0009-8105-3748ORCID · reported

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

Systems, architecture and hardware · 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 · 93% Integrated circuit design · 7%

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

TopicWeightPapersLastEvidence papers
Electronic design automation › physical design › placement › circuit placement
3D IC placement
0.812024
Mixed-Size 3D Analytical Placement with Heterogeneous Technology Nodes · DAC 2024
Electronic design automation › physical design › placement
mixed-size placement
0.812024
Mixed-Size 3D Analytical Placement with Heterogeneous Technology Nodes · DAC 2024
Electronic design automation
physical design
0.812024
Mixed-Size 3D Analytical Placement with Heterogeneous Technology Nodes · DAC 2024
Electronic design automation › physical design
placement
0.812024
Mixed-Size 3D Analytical Placement with Heterogeneous Technology Nodes · DAC 2024
Integrated circuit design
3d integration
0.212024
Mixed-Size 3D Analytical Placement with Heterogeneous Technology Nodes · DAC 2024

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

quadratic programming · 0.8analytical placement · 0.8
YearPublicationVenuePosition
2024 Mixed-Size 3D Analytical Placement with Heterogeneous Technology Nodes
abstract
This paper proposes a mixed-size 3D analytical placement framework for face-to-face stacked integrated circuits fabricated with heterogeneous technology nodes and connected by hybrid bonding technology. The proposed framework efficiently partitions a given netlist into two dies and optimizes the positions of each macro, standard cell, and hybrid bonding terminal (HBT). A multi-technology objective function and a multi-technology density penalty calculation process are adopted to handle the heterogeneous-technology-node constraints during mixed-size 3D global placement. Furthermore, a 3D objective function is used to refine the placement result during HBT-cell co-optimization. Our placer achieves the best results for all contest test cases compared with the participating teams at the 2023 CAD Contest at ICCAD on 3D Placement with Macros.
Yan-Jen Chen, Cheng-Hsiu Hsieh, Po-Han Su, Shao-Hsiang Chen, Yao-Wen Chang
DAC2