The Potential Of Llms In Hardware Design

the potential of llms in hardware design represents a topic that has garnered significant attention and interest. HardwareDesign and Verification with Large Language Models: A ... Objective: This study examines the significance of LLMs in shaping the future of hardware design and verification. It offers an extensive literature review, addresses key challenges, and highlights open research questions in this field. [2405.02326] Evaluating LLMs for Hardware Design and Test. In this work, we perform one of the first studies exploring how a LLM can both design and test hardware modules from provided specifications. Using a suite of 8 representative benchmarks, we examined the capabilities and limitations of the state-of-the-art conversational LLMs when producing Verilog for functional and verification purposes.

An Empirical Comparision of LLM-based Hardware Design and High-level .... This paper explores the potential of Large Language Models (LLMs) in FPGA design, particularly for generating complex Verilog kernels. In relation to this, we present a novel approach that guides LLMs to generate synthesizable and efficient Verilog code for complex FPGA kernels. Similarly, enhancing LLM Performance on Hardware Design Generation Task via .... Another key aspect involves, integrated circuit design is a highly complex and time-consuming process. Leveraging large language models (LLMs) for automating hardware design generation is r

LLMs for Hardware Verification: Frameworks, Techniques, and Future .... In this paper, we describe the LLMs for their use in the Electronic Design Automation (EDA) domain specifically for hardware verification. LLMs are being rapidly explored for hardware design generation and verification. The potential of LLMs in hardware design - scite.

Scite is an AI-powered platform that helps researchers discover and evaluate scientific literature through Smart Citations, showing whether studies support or contradict a claim. Improving Hardware Verification Coverage Using LLMs. We explore multiple interaction strategies, including coverage score feedback, multi-LLM architectures, RAG, and best-of-n generation. Our analysis highlights the potential of LLMs to enhance verification workflows and reduce the manual effort required to achieve high coverage.

(PDF) LLM-Aided Efficient Hardware Design Automation. Since hardware designs and intermediate scripts can be expressed in text format, it is reasonable to explore whether integrating LLMs into EDA could simplify and fully automate the entire... LLM4DV: Using Large Language Models for Hardware Test ...

Test stimuli generation has been a crucial but labour-intensive task in hardware design verification. It's important to note that, in this paper, we revolutionize this process by harnessing the power of large language models (LLMs) and present a novel benchmarking frame-work, LLM4DV.