Skip to content

Program

The full program of the MLCAD Symposium 2024 will be available in August.

Accepted Papers

IDTitle
2Optimizing Predictive AI in Physical Design Flows with Mini Pixel Batch Gradient Descent
6Efficient and Effective Neural Networks for Automatic Test Pattern Generation
10Learning to Compare Hardware Designs for High-Level Synthesis
11FACT: Fast and Accurate Multi-Corner Predictor for Timing Closure in Commercial EDA Flows
12ICDaIR: Distribution-aware Static IR Drop Prediction Flow Based on Image Classification
14Enhancing the Capabilities of Quantum Transport Simulations Utilizing Machine Learning Strategies
18An ML-aided Approach to Automatically Generate Schematic Symbols in PCB EDA Tools
19IR-Aware ECO Timing Optimization Using Reinforcement Learning
21ReLS: Retrieval Is Efficient Knowledge Transfer For Logic Synthesis
22A Parallel Simulation Framework Incorporating Machine Learning-Based Hotspot Detection for Accelerated Power Grid Analysis
23PyHDL-Eval: An LLM Evaluation Framework for Hardware Design Using Python-Embedded DSLs
28Flip-flop Centric Incremental Placement for Simultaneous Timing and Clock Network Power Optimization
29Parallel Per-tile Activation with Linear Superposition of Thermal Response for Solving Arbitrary Power Pattern in 3DIC Thermal Simulation
30Automated Physical Design Watermarking Leveraging Graph Neural Networks
32Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis
39Automated C/C++ Program Repair for High-Level Synthesis via Large Language Models
41High-Dimensional Yield Analysis Using Sparse Representation for Long-Tailed Distribution
42An Efficient ML-based Hardware Trojan Localization Framework for RTL Security Analysis
44AutoBench: Automatic Testbench Generation and Evaluation Using LLMs for HDL Design
46LLM Based Physical Verification Runset Generator
48TA3D: Timing-Aware 3D IC Partitioning and Placement by Optimizing the Critical Path
50Efficient Subgraph Matching Framework for Fast Subcircuit Identification
51Utilizing Reinforcement Learning to Generate Adversarial Hardware Trojan Examples
54OpenROAD-Assistant: An Open-Source Large Language Model for Physical Design Tasks
55HLSFactory: A Framework Empowering High-Level Synthesis Datasets for Machine Learning and Beyond
57MinBLoG: Minimization of Boolean Logic Functions using Graph Attention Network
65Thermal Map Dataset for Commercial Multi/Many Core CPU/GPU/TPU
68Rome was Not Built in a Single Step: Hierarchical Prompting for LLM-based Chip Design
75Cell Library Characterization for Composite Current Source Models Based on Gaussian Process Regression and Active Learning
76Chain-of-Descriptions: Improving Code LLMs for VHDL Code Generation and Summarization
79LASP: LLM Assisted Security Property Generation for SoC Verification
85ML-TIME: ML-driven Timing Analysis of Integrated Circuits in the Presence of Process Variations and Aging Effects
87Enabling Risk Management of Machine Learning Predictions for FPGA Routability
94Machine Learning VLSI CAD Experiments Should Consider Atomic Data Groups
97Human Language to Analog Layout Using Glayout Layout Automation Framework