Multibit flip-flop (MBFF) banking has been widely adopted to reduce dynamic power, simplify clock tree structures, and minimize layout area. In our analysis, we reveal that early-stage banking, despite potential initial timing degradation, enables more extensive flip-flop merging, with subsequent placement refinements mitigating timing violations. Experimental results, benchmarked against the first-place winner from the 2024 ICCAD CAD Contest and most recent SOTA, demonstrate that our approach delivers competitive performance while providing enhanced design flexibility and superior power reduction.

Social determinants of health (SDH) are the conditions in which we are born, live, work, and age. Food insecurity (FI) is an important domain of SDH. FI is associated with poor health outcomes. Food bank/pantry (food pantry) directly addresses FI. Improving the availability and quality of food from food pantries could reduce FI, leading to improved health outcomes. However, it is difficult for a client to access food pantry information. In this study, we built a food pantry answering framework by combining location-aware information retrieval, web information extraction and domain-specific answering. Our proposed framework first retrieves pantry candidates based on geolocation of the client, and utilizes structural information from markup language to extract semantic chunks related to six common client requests. We use BERT and RoBERTa as information extraction models and compare three different web page segmentation methods in the experiments.