17 citations · 19 across the 7 of their papers we have counts for
3 papers · 1 filter
Towards LLM-based Root Cause Analysis of Hardware Design Failures
Siyu Qiu, Muzhi Wang, Raheel Afsharmazayejani +3
With advances in large language models (LLMs), new opportunities have emerged to develop tools that support the digital hardware design process. In this work, we explore how LLMs c…
LASHED: LLMs And Static Hardware Analysis for Early Detection of RTL Bugs
Baleegh Ahmad, Hammond Pearce, Ramesh Karri +1
While static analysis is useful in detecting early-stage hardware security bugs, its efficacy is limited because it requires information to form checks and is often unable to expla…
Large Language Models and Attention-Based AI for Hardware Design and Security: Progress, Challenges, and Opportunities
Sujan Ghimire, Parsa Mirfasihi, Muhtasim Alam Chowdhury +9
Recent advances in attention-based artificial intelligence (AI) models have unlocked vast potential to automate digital hardware design while enhancing and strengthening security m…