CATCH: A Cost Analysis Tool for Co-Optimization of Chiplet-Based Heterogeneous Systems

With the increasing prevalence of chiplet systems in high-performance computing applications, the number of design options has increased dramatically. Instead of chips defaulting to a single die per package, now there are viable 3D stacking options to integrate multiple dies in a package either through vertical stacking or horizontal integration on a substrate along with a plethora of choices regarding configurations and processes. For chiplet-based designs, high-impact decisions such as those regarding the number of chiplets, the design partitions, the interconnect types, and other factors must be made early in the development process. In this work, we describe an open-source tool, CATCH, that can be used to guide these early design choices. We also present case studies showing some of the insights we can draw by using this tool. We look at case studies on optimal chip size, defect density, test cost, IO types, assembly processes, and substrates. Additionally, we include the cost breakdown for a specific case based on a prior work.

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Publication Details

Journal
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Published
2025-08-11
DOI
https://doi.org/10.1109/tcad.2025.3597570
Citations
2
Primary Topic
Innovative Microfluidic and Catalytic Techniques Innovation
Type
article
Field-Weighted Citation Impact
1.35

Funders

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article

CATCH: A Cost Analysis Tool for Co-Optimization of Chiplet-Based Heterogeneous Systems

Jonti Talukdar, Krishnendu Chakrabarty, Saptadeep Pal, Alexander Graening et al.
2 citations
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Innovative Microfluidic and Catalytic Techniques Innovation
1.35
article

CATCH: A Cost Analysis Tool for Co-Optimization of Chiplet-Based Heterogeneous Systems

Jonti Talukdar, Krishnendu Chakrabarty, Saptadeep Pal, Alexander Graening, Puneet Gupta
article en
2 citations

Abstract

With the increasing prevalence of chiplet systems in high-performance computing applications, the number of design options has increased dramatically. Instead of chips defaulting to a single die per package, now there are viable 3D stacking options to integrate multiple dies in a package either through vertical stacking or horizontal integration on a substrate along with a plethora of choices regarding configurations and processes. For chiplet-based designs, high-impact decisions such as those regarding the number of chiplets, the design partitions, the interconnect types, and other factors must be made early in the development process. In this work, we describe an open-source tool, CATCH, that can be used to guide these early design choices. We also present case studies showing some of the insights we can draw by using this tool. We look at case studies on optimal chip size, defect density, test cost, IO types, assembly processes, and substrates. Additionally, we include the cost breakdown for a specific case based on a prior work.

IEEE Transactions on Computer-Aided Design of Integrated Circuits and SystemsVol. 45(3)
University of California, Los Angeles (US), Duke University (US), Duke Energy (United States) (US), San Jose State University (US), Arizona State University (US), Aino University (JP)
National Science Foundation, Semiconductor Research Corporation
Openalex Percentile: Top 18%
Innovative Microfluidic and Catalytic Techniques Innovation
1.35
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