Search Results for author: Matthew DeLorenzo

Found 2 papers, 0 papers with code

CreativEval: Evaluating Creativity of LLM-Based Hardware Code Generation

no code implementations12 Apr 2024 Matthew DeLorenzo, Vasudev Gohil, Jeyavijayan Rajendran

Large Language Models (LLMs) have proved effective and efficient in generating code, leading to their utilization within the hardware design process.

Code Generation

Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS

no code implementations5 Feb 2024 Matthew DeLorenzo, Animesh Basak Chowdhury, Vasudev Gohil, Shailja Thakur, Ramesh Karri, Siddharth Garg, Jeyavijayan Rajendran

Existing large language models (LLMs) for register transfer level code generation face challenges like compilation failures and suboptimal power, performance, and area (PPA) efficiency.

Code Generation Language Modelling

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