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.
Authors
- Jonti Talukdar (ORCID: https://orcid.org/0000-0001-7079-5281)
- Krishnendu Chakrabarty (ORCID: https://orcid.org/0000-0003-4475-6435)
- Saptadeep Pal (ORCID: https://orcid.org/0000-0002-8777-8573)
- Alexander Graening
- Puneet Gupta (ORCID: https://orcid.org/0000-0002-6188-1134)
Institutions
- 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)
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
- National Science Foundation
- Semiconductor Research Corporation