activity
20242026
collaborators

5 papers

cs.AR2026

EDATracer: An Agentic Framework for Large-Scale EDA Artifact Analysis

Phat Tieu, Sayanti Jana, Matthew DeLorenzo +5

Modern chip design relies on electronic design automation (EDA) tools that generate large, heterogeneous artifacts, including source files, scripts, logs, netlists, and reports. An…

cs.CY2026

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…

cs.AI2025

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs

Sam Bush, Matthew DeLorenzo, Phat Tieu +1

Limitations in Large Language Model (LLM) capabilities for hardware design tasks, such as generating functional Verilog codes, have motivated various fine-tuning optimizations util…

cs.PL2025

Abstractions-of-Thought: Intermediate Representations for LLM Reasoning in Hardware Design

Matthew DeLorenzo, Kevin Tieu, Prithwish Jana +4

Large language models (LLMs) have achieved impressive proficiency on logic and programming tasks, often rivaling expert-level performance. However, generating functionally correct…

cs.CR2024

LLMPirate: LLMs for Black-box Hardware IP Piracy

Vasudev Gohil, Matthew DeLorenzo, Veera Vishwa Achuta Sai Venkat Nallam +2

The rapid advancement of large language models (LLMs) has enabled the ability to effectively analyze and generate code nearly instantaneously, resulting in their widespread adoptio…