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Nesara Eranna Bethur

dblp:326/3808 · DBLP profile ↗
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3ranked-venue papers
2as first author
3since 2021 · last 2024
0000-0001-7297-9738ORCID · corroborated

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

Systems, architecture and hardware · 3 · 2 first-author · 3 since 2021Applied, interdisciplinary, general and emerging computing · 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
2 papers
Electronic design automation · 76% Integrated circuit design · 24%

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

TopicWeightPapersLastEvidence papers
Electronic design automation
physical design
1.522024
Hier-3D: A Methodology for Physical Hierarchy Exploration of 3-D ICs · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2024
GNN-assisted Back-side Clock Routing Methodology for Advance Technologies · DAC 2024
Integrated circuit design
3d integration
0.812024
Hier-3D: A Methodology for Physical Hierarchy Exploration of 3-D ICs · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2024
Electronic design automation › physical design
clock routing
0.812024
GNN-assisted Back-side Clock Routing Methodology for Advance Technologies · DAC 2024
Electronic design automation › design methodology
design closure
0.812024
Hier-3D: A Methodology for Physical Hierarchy Exploration of 3-D ICs · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2024
Integrated circuit design
advanced technology node
0.212024
GNN-assisted Back-side Clock Routing Methodology for Advance Technologies · DAC 2024

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

physical hierarchy exploration · 0.8graph neural network · 0.8floorplanning · 0.8
YearPublicationVenuePosition
2024 GNN-assisted Back-side Clock Routing Methodology for Advance Technologies
abstract
The back-side metal layers exhibit lower parasitics compared to the front-side layers in advanced technologies, making them suitable for clock-net distribution. In this study, we explore the advantages of using back-side metal layers for clock routing, which is shared with a power delivery network. Our Graph Neural Network (GNN) based framework, effectively distributes the clock-tree between the front and back sides. We address the back-side clock nets' creation by incorporating back-side buffers. Our results demonstrate better clock and full-chip metrics represented by an increase of up to 13% in the effective frequency with equivalent power consumption, using 3 nm technology.
Nesara Eranna Bethur, Pruek Vanna-Iampikul, Odysseas Zografos, Lingjun Zhu, Giuliano Sisto, Dragomir Milojevic, Alberto García Ortiz, Geert Hellings, Julien Ryckaert, Francky Catthoor, Sung Kyu Lim
DAC1
2024 Hier-3D: A Methodology for Physical Hierarchy Exploration of 3-D ICs
abstract
Hierarchical very-large-scale integration (VLSI) flows are an understudied yet critical approach to achieving design closure at giga-scale complexity and gigahertz frequency targets. This paper proposes a novel hierarchical physical design flow enabling the building of high-density and commercial-quality two-tier face-to-face-bonded hierarchical 3D ICs. Complemented with an automated floorplanning solution, the flow allows for system-level physical and architectural exploration of 3D designs. As a result, we significantly reduce the associated manufacturing cost compared to existing 3D implementation flows and, for the first time, achieve cost competitiveness against the 2D reference in large modern designs. Experimental results on complex industrial and open manycore processors demonstrate in two advanced nodes that the proposed flow provides major power, performance, and area/cost (PPAC) improvements of 1.2 -2.2× compared with 2D, where all metrics are improved simultaneously, including up to 20% power savings.
Nesara Eranna Bethur, Anthony Agnesina, Moritz Brunion, Alberto García Ortiz, Francky Catthoor, Dragomir Milojevic, Manu Perumkunnil Komalan, Matheus A. Cavalcante, Samuel Riedel, Luca Benini, Sung Kyu Lim
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.1
2022 3D IC Tier Partitioning of Memory Macros: PPA vs. Thermal Tradeoffs
abstract
Micro-bump and hybrid bonding technologies have enabled 3D ICs and provided remarkable performance gain, but the memory macro partitioning problem also becomes more complicated due to the limited 3D connection density. In this paper, we evaluate and quantify the impacts of various macro partitioning on the performance and temperature in commercial-grade 3D ICs. In addition, we propose a set of partitioning guidelines and a quick constraint-graph-based approach to create floorplans for logic-on-memory 3D ICs. Experimental results show that the optimized macro partitioning can help improve the performance of logic-on-memory 3D ICs by up to 15%, at the cost of 8°C temperature increase. Assuming air cooling, our simulation shows the 3D ICs are thermally sustainable with 97°C maximum temperature.
Lingjun Zhu, Nesara Eranna Bethur, Yi-Chen Lu, Youngsang Cho, Yunhyeok Im, Sung Kyu Lim
ISLPED2