STAMP-2.5D: Structural and Thermal Aware Methodology for Placement in 2.5D Integration

Chiplet-based architectures and advanced packaging have emerged as transformative approaches in semiconductor design. While conventional physical design for 2.5D heterogeneous systems typically prioritizes wirelength reduction through tight chiplet packing, this strategy introduces thermal bottlenecks and intensifies coefficient of thermal expansion (CTE) mismatches, compromising long-term reliability. Addressing these challenges requires holistic consideration of thermal performance, mechanical stress, and interconnect efficiency. We introduce STAMP-2.5D: Structural and Thermal Aware Methodology for Placement in 2.5D integration, the first automated placement methodology that simultaneously optimizes these critical factors. Our approach employs finite element analysis to simulate temperature distributions and stress profiles across chiplet configurations while minimizing interconnect wirelength. Experimental results demonstrate that a thermal and structurally aware automated placement approach reduces overall stress by 11 %, maintains excellent thermal performance with a negligible <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{0. 5 \%}$</tex> temperature increase and simultaneously reduces total wirelength by 11 % compared to temperature-only optimization. Additionally, we conduct an exploratory study on the effects of temperature gradients on structural integrity, providing crucial insights for reliability-conscious chiplet design.

Authors

Institutions

Publication Details

Published
2025-11-10
DOI
https://doi.org/10.1109/iccd65941.2025.00029
Citations
1
Primary Topic
3D IC and TSV technologies
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

STAMP-2.5D: Structural and Thermal Aware Methodology for Placement in 2.5D Integration

Krishnendu Chakrabarty, Varun Darshana Parekh, Srivatsa Srinivasa, Vijaykrishnan Narayanan et al.
1 citations
3D IC and TSV technologies
0.73
article

STAMP-2.5D: Structural and Thermal Aware Methodology for Placement in 2.5D Integration

Krishnendu Chakrabarty, Varun Darshana Parekh, Srivatsa Srinivasa, Vijaykrishnan Narayanan, Zachary Wyatt Hazenstab
article en
1 citations

Abstract

Chiplet-based architectures and advanced packaging have emerged as transformative approaches in semiconductor design. While conventional physical design for 2.5D heterogeneous systems typically prioritizes wirelength reduction through tight chiplet packing, this strategy introduces thermal bottlenecks and intensifies coefficient of thermal expansion (CTE) mismatches, compromising long-term reliability. Addressing these challenges requires holistic consideration of thermal performance, mechanical stress, and interconnect efficiency. We introduce STAMP-2.5D: Structural and Thermal Aware Methodology for Placement in 2.5D integration, the first automated placement methodology that simultaneously optimizes these critical factors. Our approach employs finite element analysis to simulate temperature distributions and stress profiles across chiplet configurations while minimizing interconnect wirelength. Experimental results demonstrate that a thermal and structurally aware automated placement approach reduces overall stress by 11 %, maintains excellent thermal performance with a negligible <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{0. 5 \%}$</tex> temperature increase and simultaneously reduces total wirelength by 11 % compared to temperature-only optimization. Additionally, we conduct an exploratory study on the effects of temperature gradients on structural integrity, providing crucial insights for reliability-conscious chiplet design.

University of Notre Dame (US), Pennsylvania State University (US), Intel (United States) (US), Arizona State University (US)
Openalex Percentile: Top 22%
3D IC and TSV technologies
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.