Statistical analysis driven synthesis of asynchronous systems

In this paper, we propose an effective asynchronous datapath synthesis system to optimize statistical schedule length using statistical schedule length analysis. The proposed method is a heuristics which simultaneously performs scheduling and resource binding. During the design process, decisions are made based on the statistical schedule length analysis. It is demonstrated that asynchronous datapaths with the reduced mean total computation time are successfully synthesized for some datapath synthesis benchmarks.