Quartus® Prime Pro Edition User Guide: Design Optimization

ID 683641
Date 4/01/2024
Document Table of Contents

5.4.6. Evaluate Clustering Difficulty

You can evaluate clustering difficulty to help reach timing closure. You can monitor clustering difficulty whenever you add logic and recompile. Use the clustering information to gauge how much timing closure difficulty is inherent in your design.
  • If your design is full but clustering difficulty is low or medium, your design itself, rather than clustering, is likely the main cause of congestion.
  • Conversely, congestion occurring after adding a small amount of logic to the design, can be due to clustering. If clustering difficulty is high, this contributes to congestion regardless of design size.