University of Michigan researchers introduced Fengshui, a chiplet co-design framework jointly optimizing chiplet pools and application-specific AI accelerator designs.

Fengshui addresses two linked levels of accelerator design. The University of Michigan paper introduces a framework that jointly optimizes the composition of a chiplet pool and the design of bespoke application-specific integrated circuits, abbreviated BASIC in the paper. The framework therefore covers both the available chiplet ecosystem and the accelerator designs built from it.

The research is presented as a co-design framework rather than a new commercial accelerator. Its title is “Fengshui: Demystifying Chiplet Ecosystem and Bespoke Neural Network Accelerator Codesign.” Semiconductor Engineering identifies it as a September 2026 technical paper.

The article headline reports reductions in energy and design costs. However, the supplied abstract excerpt contains no numerical improvement, comparison baseline, workload list, or fabrication details. Consequently, no specific energy-saving percentage or cost reduction can be established from the provided text.