Introduction

Synopsys Fusion Compiler is an advanced RTL-to-GDSII implementation platform. It unifies logic synthesis, placement, routing, and optimization in a single environment. As a result, it enables faster design convergence.

Moreover, the tool integrates both physical and logical optimization engines. This improves performance, power efficiency, and area utilization. In addition, Fusion Compiler uses machine learning-driven algorithms. It also applies congestion-aware placement and timing-driven optimization. Therefore, it helps achieve high-quality results (QoR) for modern semiconductor designs.

Learner Prerequisites

• Basic understanding of digital design concepts and CMOS technology
• Familiarity with RTL design (Verilog/VHDL)
• Knowledge of synthesis and static timing analysis (STA) fundamentals
• Understanding of physical design flow and EDA tools
• Basic Linux command-line skills

Table of Contents

1. Placement Fundamentals in Fusion Compiler

1.1 Introduction to Placement Concepts
1.2 Types of Placement (Global, Detailed, Legalization)
1.3 Placement Flow in Fusion Compiler
1.4 Design Inputs for Placement (Netlist, Constraints, Libraries)
1.5 Placement Objectives: Timing, Congestion, Power, Area
1.6 Understanding Placement Constraints and Guidelines

2. Pre-Placement Setup and Design Preparation

2.1 Floorplan Considerations for Placement
2.2 Placement Blockages and Keep-Out Margins
2.3 Power Planning Impact on Placement
2.4 IO and Macro Placement Strategies
2.5 Handling Hierarchical and Flat Designs
2.6 Library and Technology File Considerations

3. Global Placement Techniques

3.1 Global Placement Algorithms and Strategies
3.2 Timing-Driven Placement
3.3 Congestion-Driven Placement
3.4 Density Control and Utilization Optimization
3.5 Multi-Voltage and Multi-Domain Placement
3.6 Early QoR Estimation and Analysis

4. Detailed Placement and Legalization

4.1 Cell Legalization Techniques
4.2 Overlap Removal and Placement Refinement
4.3 Row-Based Placement and Standard Cell Alignment
4.4 Handling Placement Violations
4.5 Incremental Placement Optimization
4.6 Placement ECO Handling

5. Timing-Driven Optimization Techniques

5.1 Setup and Hold Timing Optimization
5.2 Critical Path Identification and Optimization
5.3 Buffer Insertion and Gate Sizing
5.4 Path Restructuring Techniques
5.5 Multi-Corner Multi-Mode (MCMM) Optimization
5.6 Timing Closure Strategies

6. Congestion and Routability Optimization

6.1 Congestion Analysis and Metrics
6.2 Congestion-Driven Placement Adjustments
6.3 Routing Resource Estimation
6.4 Hotspot Detection and Mitigation
6.5 Layer-Aware Placement Techniques
6.6 Improving Routability through Optimization

7. Power Optimization During Placement

7.1 Dynamic and Leakage Power Optimization
7.2 Multi-Vt Cell Usage Strategies
7.3 Clock Gating Awareness in Placement
7.4 Power-Aware Buffering and Sizing
7.5 Voltage Island Optimization
7.6 Trade-offs Between Power, Performance, and Area

8. Advanced Placement Optimization Features

8.1 Machine Learning-Based Optimization in Fusion Compiler
8.2 Adaptive Placement Techniques
8.3 Scenario-Based Optimization
8.4 Variation-Aware Placement
8.5 Advanced Node Challenges (FinFET, 5nm, 3nm)
8.6 High-Performance Design Strategies

9. Clock-Aware Placement Optimization

9.1 Pre-CTS Placement Considerations
9.2 Clock Tree Impact on Placement
9.3 Skew Optimization Techniques
9.4 Useful Skew and Placement Interaction
9.5 Clock Congestion Handling
9.6 Preparing for Clock Tree Synthesis (CTS)

10. ECO and Incremental Optimization

10.1 Engineering Change Orders (ECO) in Placement
10.2 Incremental Timing Fixes
10.3 Localized Optimization Techniques
10.4 Minimizing Design Disruptions
10.5 ECO Flow in Fusion Compiler
10.6 Signoff-Driven ECO Strategies

11. QoR Analysis and Debugging

11.1 Key QoR Metrics (Timing, Power, Area, Congestion)
11.2 Placement Reports and Analysis Tools
11.3 Debugging Timing Violations
11.4 Congestion and Density Analysis Reports
11.5 Visualization Tools in Fusion Compiler
11.6 Best Practices for QoR Improvement

12. Best Practices and Optimization Strategies

12.1 Placement Strategy Planning
12.2 Balancing Timing, Power, and Area
12.3 Handling Large-Scale Designs
12.4 Common Pitfalls and How to Avoid Them
12.5 Optimization Trade-offs and Decision Making
12.6 Industry Best Practices

Conclusion

In conclusion, this training provides a clear and structured understanding of placement and optimization techniques in Synopsys Fusion Compiler. Furthermore, it helps designers improve timing closure and reduce congestion. As a result, they can achieve better power, performance, and area outcomes in advanced semiconductor designs.