Introduction

Software Architecture

AiEDA follows a modular architecture built on top of the iEDA infrastructure:

AiEDA Architecture
├── AI Layer (aieda.ai)
│   ├── Net Wirelength Prediction (TabNet)
│   ├── Design Space Exploration (DSE)
│   └── ML Model Training & Inference
├── Analysis Layer (aieda.analysis)
│   ├── Design-level Analysis
│   ├── Net Analysis
│   ├── Path Analysis
│   └── Patch Analysis
├── EDA Integration Layer (aieda.eda)
│   ├── iEDA Tool Wrappers
│   ├── Flow Management
│   └── Data Extraction
├── Data Management Layer (aieda.data)
│   ├── Database Structures
│   ├── Vector Generation
│   └── Feature Engineering
├── Workspace Management (aieda.workspace)
├── Utilities (aieda.utility)
└── GUI Interface (aieda.gui)

Core Modules

1. AI Module (aieda.ai)

• Net Wirelength Prediction: TabNet-based models for predicting wire lengths
• Design Space Exploration (DSE): Automated parameter optimization
• Model Training: Support for various ML frameworks and algorithms

2. Analysis Module (aieda.analysis)

• Design Analysis: Cell type, core usage, pin distribution analysis
• Net Analysis: Wire distribution and metrics correlation
• Path Analysis: Delay and stage analysis
• Patch Analysis: Map analysis, wire density, and feature correlation

3. EDA Integration (aieda.eda)

• iEDA Tool Integration: Wrappers for 11+ EDA tools
  • Floorplanning (iFP)
  • Placement (iPL)
  • Routing (iRT)
  • Clock Tree Synthesis (iCTS)
  • Timing Optimization (iTO)
  • Static Timing Analysis (iSTA)
  • Power Analysis (iPA)
  • Design Rule Checking (iDRC)
  • And more...

4. Data Management (aieda.data)

• Database Structures: Comprehensive data models for EDA features
• Vector Generation: Automated feature extraction and vectorization
• Parameters: EDA tool parameter management

5. Flows (aieda.flows)

• iEDA Flow Management: Automated execution of EDA tool chains
• Data Generation: Automated dataset creation for ML training
• Flow Configuration: Flexible flow definition and execution

6. Workspace (aieda.workspace)

• Project Management: Workspace creation and management
• File Organization: Structured project directory management

7. Utilities (aieda.utility)

• Logging: Comprehensive logging system
• JSON Parsing: Configuration file management
• Permission Management: File and folder permission handling

8. GUI (aieda.gui)

• Layout Visualization: Graphical interface for design visualization

Data Flow

The AiEDA data flow follows this pattern:

1. Design Input → Workspace creation with design files
2. EDA Processing → iEDA tools process the design through various stages
3. Feature Extraction → Data extraction and vectorization from EDA results
4. AI Analysis → ML models analyze extracted features
5. Optimization → AI-guided parameter optimization and design improvements
6. Validation → Results validation and iteration

Design Files → Workspace → iEDA Tools → Feature Extraction → AI Models → Optimization → Results
     ↑                                                                            ↓
     └─────────────────── Feedback Loop ──────────────────────────────────────────┘

Key Features

• AI-Native Design: Built from ground up with AI/ML integration
• Comprehensive EDA Integration: Support for 11+ EDA tools via iEDA
• Automated Workflows: End-to-end automation from design to optimization
• Extensible Architecture: Modular design for easy extension and customization
• Production Ready: Proven with 4+ successful tape-outs
• Open Source: Fully open-source with active community support