6 papers · 1 filter
Evaluating LLMs for Hardware Design and Test
Jason Blocklove, Siddharth Garg, Ramesh Karri +1
Large Language Models (LLMs) have demonstrated capabilities for producing code in Hardware Description Languages (HDLs). However, most of the focus remains on their abilities to wr…
OffRAMPS: An FPGA-based Intermediary for Analysis and Modification of Additive Manufacturing Control Systems
Jason Blocklove, Md Raz, Prithwish Basu Roy +4
Cybersecurity threats in Additive Manufacturing (AM) are an increasing concern as AM adoption continues to grow. AM is now being used for parts in the aerospace, transportation, an…
LLM-aided explanations of EDA synthesis errors
Siyu Qiu, Benjamin Tan, Hammond Pearce
Training new engineers in digital design is a challenge, particularly when it comes to teaching the complex electronic design automation (EDA) tooling used in this domain. Learners…
(Security) Assertions by Large Language Models
Rahul Kande, Hammond Pearce, Benjamin Tan +4
The security of computer systems typically relies on a hardware root of trust. As vulnerabilities in hardware can have severe implications on a system, there is a need for techniqu…
AutoChip: Automating HDL Generation Using LLM Feedback
Shailja Thakur, Jason Blocklove, Hammond Pearce +3
Traditionally, designs are written in Verilog hardware description language (HDL) and debugged by hardware engineers. While this approach is effective, it is time-consuming and err…
REMaQE: Reverse Engineering Math Equations from Executables
Meet Udeshi, Prashanth Krishnamurthy, Hammond Pearce +2
Cybersecurity attacks on embedded devices for industrial control systems and cyber-physical systems may cause catastrophic physical damage as well as economic loss. This could be a…