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09/14/2023
VerilogEval: Evaluating Large Language Models for Verilog Code Generation
The increasing popularity of large language models (LLMs) has paved the ...
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10/27/2022
An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design
Lithography modeling is a crucial problem in chip design to ensure a chi...
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07/30/2022
Delving into Effective Gradient Matching for Dataset Condensation
As deep learning models and datasets rapidly scale up, network training ...
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07/13/2022
RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL
Analog/mixed-signal circuit design is one of the most complex and time-c...
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12/15/2021
ELight: Enabling Efficient Photonic In-Memory Neurocomputing with Life Enhancement
With the recent advances in optical phase change material (PCM), photoni...
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08/25/2021
Towards Memory-Efficient Neural Networks via Multi-Level in situ Generation
Deep neural networks (DNN) have shown superior performance in a variety ...
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04/01/2021