The 2D physical design community has had standardized open benchmarks since the 1990s. Those benchmarks are a large part of why academic place-and-route research could compound so fast: everybody evaluated against the same testcases, improvements were measurable, and the best ideas moved into commercial tools within a few years. Chiplet-based 3D-IC has had none of this. Researchers and EDA vendors have been publishing 3D placement and routing algorithms against private or undisclosed testcases, and comparing them is nearly impossible.
This benchmark suite, derived from the CATCH framework for estimating heterogeneous integration costs, provides reusable virtual chiplet models covering compute, memory, I/O, analog, and substrate components. Each testcase captures inter-die connectivity, TSV placement, and hybrid bonding constraints in a format designed to be reproducible across different 3D physical design tools. The analogy to ISPD or ICCAD 2D benchmarks is intentional and appropriate.
The practical consequence: any 3D-IC EDA tool, commercial or open-source, can now be evaluated on a common testcase set and compared against published results. That is how you close the gap between academic EDA research and production chiplet design flows in 3-5 years instead of 10-15. Teams building chiplet-based AI accelerators should watch which EDA tool families benchmark well against this suite. The first results on these testcases will be a leading indicator of which vendors are serious about 3D and which are shipping marketing decks.