the awesome work, project and lab of EDA (Electronic Design Automation). continue update... (Because of personal reasons, we will not continue update...)
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Main EDA lab and open-source project：
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Overview:
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Placement and Routing
- Routing:
- FastRoute : A Step to Integrate Global Routing into Placement
- NTHU : A New Global Router for Modern Designs
- SAGERoute : Synergistic Analog Routing Considering Geometric and Electrical Constraints with Manual Design Compatibility
- Dr.CU : Dr. CU is a VLSI detailed routing tool
- Dr.GR : Dr. CU is a VLSI global routing tool
- Align : analog detailed router
- Electromigration- and Parasitic-Aware ILP-Based Analog Router : analog global router
- Efficient ILP-Based Variant-Grid Analog Router : analog global router
- Reinforcement Learning Guided Detailed Routing for Custom Circuits
- Pathfinding Model and Lagrangian-Based Global Routing
- PROS 2.0: A Plug-In for Routability Optimization and Routed Wirelength Estimation Using Deep Learning
- GAMER: GPU-Accelerated Maze Routing
- COALA: Concurrently Assigning Wire Segments to Layers for 2-D Global Routing
- Incremental 3-D Global Routing Considering Cell Movement and Complex Routing Constraints
- placement:
- Xplace : An Extremely Fast and Extensible Global Placement Framework
- RePlace : Advancing Solution Quality and Routability Validation in Global Placement
- DreamPlace : Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement
- ePlace : Electrostatics based Placement using Fast Fourier Transform and Nesterov’s Method
- MacroPlacement : Assessment of Reinforcement Learning for Macro Placement
- MaskPlace : Fast Chip Placement via Reinforced Visual Representation Learning
- RLPlace: Deep RL Guided Heuristics for Detailed Placement Optimization
- Parallel Global Placement on CPU via Parallel Reduction
- analog layout generation
- Laygo : A Template-and-Grid-Based Layout Generation Engine for Advanced CMOS Technologies
- BAG : A Process-Portable Framework for Generator-based AMS Circuit Design
- MAGICAL : Machine Generated Analog IC Layout
- ALIGN : Analog Layout, Intelligently Generated from Netlists
- Symmetry Annotation Extraction : Layout Symmetry Annotation for Analog Circuits with Graph Neural Networks
- Interactive Analog Layout Editing With Instant Placement and Routing Legalization
- Routing:
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Analog Circuit Design Optimization
- Multi-objective Bayesian Optimization for Analog/RF Circuit Synthesis
- Automated Design of Analog Circuits Using Reinforcement Learning
- DNN-Opt: An RL Inspired Optimization for Analog Circuit Sizing using Deep Neural Networks
- MA-Opt: Reinforcement Learning-based Analog Circuit Optimization using Multi-Actors
- DC-Model: A New Method for Assisting the Analog Circuit Optimization
- An efficient batch-constrained bayesian optimization approach for analog circuit synthesis via multiobjective acquisition ensemble
- Batch Bayesian optimization via multi-objective acquisition ensemble for automated analog circuit design
- Geometric programming for circuit optimization
- A tutorial on geometric programming
- Late Breaking Results: Analog Circuit Generator based on Deep Neural Network enhanced Combinatorial Optimization
- Learning to Design Circuits
- GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning
- Closing the Design Loop: Bayesian Optimization AssistedHierarchical Analog Layout Synthesis
- Parasitic-Aware Analog Circuit Sizing with Graph Neural Networks and Bayesian Optimization
- Joint optimization of sizing and layout for AMS designs: Challenges and opportunities
- Analog circuit sizing based on Evolutionary Algorithms and deep learning
- Reinforcement Learning-based Analog Circuit Optimizer using gm/ID for Sizing
- Automated Design of Complex Analog Circuits with Multiagent based Reinforcement Learning
- Deep Reinforcement Learning for Analog Circuit Sizing with an Electrical Design Space and Sparse Rewards
- LinEasyBO: Scalable Bayesian Optimization Approach for Analog Circuit Synthesis via One-Dimensional Subspaces
- RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL
- Bayesian Methods for the Yield Optimization of Analog and SRAM Circuits
- Bayesian optimization approach for analog circuit synthesis using neural network
- A Novel and Efficient Bayesian Optimization Approach for Analog Designs with Multi-Testbench
- High-Dimensional Bayesian Optimization for Automated Analog Circuit Design via Add-Graph Structure
- A Robust Batch Bayesian Optimization for Analog Circuit Synthesis via Local Penalization
- An Efficient Asynchronous Batch Bayesian Optimization Approach for Analog Circuit Synthesis
- A Mixed-Variable Bayesian Optimization Approach for Analog Circuit Synthesis
- APOSTLE: Asynchronously Parallel Optimization for Sizing Analog Transistors using DNN Learning
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Layout Pattern Generation
- DeePattern: Layout Pattern Generation with Transforming Convolutional Auto-Encoder
- Layout Pattern Generation and Legalization with Generative Learning Models
- LayouTransformer: Generating Layout Patterns with Transformer via Sequential Pattern Modeling
- DiffPattern : Layout Pattern Generation via Discrete Diffusion
- WellGAN: Generative-Adversarial-Network-Guided Well Generation for Analog/Mixed-Signal Circuit Layout
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Pattern Layout Hotspot Dectection
- Efficient Hotspot Detection via Graph Neural Network
- Efficient Layout Hotspot Detection via Neural Architecture Search
- Hotspot Detection via Attention-Based Deep Layout Metric Learning
- Faster Region-based Hotspot Detection
- Efficient Layout Hotspot Detection via Binarized Residual Neural Network
- Hotspot Detection using Squish-Net
- Detecting multi-layer layout hotspots with adaptive squish patterns
- Layout Hotspot Detection With Feature Tensor Generation and Deep Biased Learning
- Lithography Hotspot Detection: From Shallow To Deep Learning
- Layout Hotspot Detection with Feature Tensor Generation and Deep Biased Learning
- Bilinear Lithography Hotspot Detection
- ADAPT: An Adaptive Machine Learning Framework with Application to Lithography Hotspot Detection
- Many-Layer Hotspot Detection by Layer-Attentioned Visual Question Answering
- Efficient Layout Hotspot Detection via Binarized Residual Neural Network