CATCH: a Cost Analysis Tool for Co-optimization of chiplet-based Heterogeneous systems

By Alexander Graening^*, Jonti Talukdar^**, Saptadeep Pal^†, Krishnendu Chakrabarty^††, Puneet Gupta^*
* Department of Electrical and Computer Engineering, University of California, Los Angeles
^** Department of Electrical and Computer Engineering, Duke University
^† Etched
^†† School of Electrical, Computer and Energy Engineering, Arizona State University 

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 design, now there are options for 2.5D and 3D stacking 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.

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