5 papers · 1 filter
CoEvoP&R: Co-Evolving Placement Objectives with Routing Feedback via Large Language Models
Ruogu Chen, Weihua Xiao, Ramesh Karri +1
Analytical placers rely on differentiable objective functions to guide placement, typically combining intermediate surrogate metrics such as half-perimeter wirelength (HPWL) and ce…
VeriCWEty: Embedding enabled Line-Level CWE Detection in Verilog
Prithwish Basu Roy, Zeng Wang, Anatolii Chuvashlov +4
Large Language Models (LLMs) have shown significant improvement in RTL code generation. Despite the advances, the generated code is often riddled with common vulnerabilities and we…
GUIDE: GenAI Units In Digital Design Education
Weihua Xiao, Jason Blocklove, Matthew DeLorenzo +6
GenAI Units In Digital Design Education (GUIDE) is an open courseware repository with runnable Google Colab labs and other materials. We describe the repository's architecture and…
LLM4PQC - Accurate and Efficient Synthesis of PQC Cores by Feedback-Driven LLMs
Buddhi Perera, Zeng Wang, Weihua Xiao +4
The design of post-quantum cryptography (PQC) hardware is a complex and hierarchical process with many challenges. A primary bottleneck is the conversion of PQC reference codes fro…
TrojanGYM: A Detector-in-the-Loop LLM for Adaptive RTL Hardware Trojan Insertion
Saideep Sreekumar, Zeng Wang, Akashdeep Saha +6
Hardware Trojans (HTs) remain a critical threat because learning-based detectors often overfit to narrow trigger/payload patterns and small, stylized benchmarks. We introduce Troja…