4 citations · 7 across the 4 of their papers we have counts for
4 papers
Late Breaking Results: Conversion of Neural Networks into Logic Flows for Edge Computing
Daniel Stein, Shaoyi Huang, Rolf Drechsler +2
Neural networks have been successfully applied in various resource-constrained edge devices, where usually central processing units (CPUs) instead of graphics processing units exis…
Revolution or Hype? Seeking the Limits of Large Models in Hardware Design
Qiang Xu, Leon Stok, Rolf Drechsler +3
Recent breakthroughs in Large Language Models (LLMs) and Large Circuit Models (LCMs) have sparked excitement across the electronic design automation (EDA) community, promising a re…
CorrectBench: Automatic Testbench Generation with Functional Self-Correction using LLMs for HDL Design
Ruidi Qiu, Grace Li Zhang, Rolf Drechsler +2
Functional simulation is an essential step in digital hardware design. Recently, there has been a growing interest in leveraging Large Language Models (LLMs) for hardware testbench…
AutoBench: Automatic Testbench Generation and Evaluation Using LLMs for HDL Design
Ruidi Qiu, Grace Li Zhang, Rolf Drechsler +2
In digital circuit design, testbenches constitute the cornerstone of simulation-based hardware verification. Traditional methodologies for testbench generation during simulation-ba…