Rtlcoder: Outperforming gpt-3.5 in design rtl generation with our open-source dataset and lightweight solution
S Liu, W Fang, Y Lu, Q Zhang… - 2024 IEEE LLM Aided …, 2024 - ieeexplore.ieee.org
The automatic generation of RTL code (eg, Verilog) using natural language instructions and
large language models (LLMs) has attracted significant research interest recently. However …
large language models (LLMs) has attracted significant research interest recently. However …
RTLFixer: Automatically Fixing RTL Syntax Errors with Large Language Model
This paper presents RTLFixer, a novel framework enabling automatic syntax errors fixing for
Verilog code with Large Language Models (LLMs). Despite LLM's promising capabilities …
Verilog code with Large Language Models (LLMs). Despite LLM's promising capabilities …
Llm for soc security: A paradigm shift
As the ubiquity and complexity of system-on-chip (SoC) designs increase across electronic
devices, incorporating security into an SoC design flow poses significant challenges …
devices, incorporating security into an SoC design flow poses significant challenges …
Verilogeval: Evaluating large language models for verilog code generation
The increasing popularity of large language models (LLMs) has paved the way for their
application in diverse domains. This paper proposes a benchmarking framework tailored …
application in diverse domains. This paper proposes a benchmarking framework tailored …
Assertllm: Generating and evaluating hardware verification assertions from design specifications via multi-llms
Assertion-based verification (ABV) is a critical method to ensure logic designs comply with
their architectural specifications. ABV requires assertions, which are generally converted …
their architectural specifications. ABV requires assertions, which are generally converted …
Llms and the future of chip design: Unveiling security risks and building trust
Chip design is about to be revolutionized by the integration of large language, multimodal,
and circuit models (collectively LxMs). While exploring this exciting frontier with tremendous …
and circuit models (collectively LxMs). While exploring this exciting frontier with tremendous …
Data is all you need: Finetuning llms for chip design via an automated design-data augmentation framework
Recent advances in large language models have demonstrated their potential for automated
generation of hardware description language (HDL) code from high-level prompts …
generation of hardware description language (HDL) code from high-level prompts …
[HTML][HTML] The potential of llms in hardware design
S Alsaqer, S Alajmi, I Ahmad, M Alfailakawi - Journal of Engineering …, 2024 - Elsevier
The unprecedented success of Large Language Models (LLMs) like ChatGPT across
diverse domains such as natural language understanding and coding has paved the way for …
diverse domains such as natural language understanding and coding has paved the way for …
Mg-verilog: Multi-grained dataset towards enhanced llm-assisted verilog generation
Large Language Models (LLMs) have recently shown promise in streamlining hardware
design processes by encapsulating vast amounts of domain-specific data. In addition, they …
design processes by encapsulating vast amounts of domain-specific data. In addition, they …
Llm4eda: Emerging progress in large language models for electronic design automation
Driven by Moore's Law, the complexity and scale of modern chip design are increasing
rapidly. Electronic Design Automation (EDA) has been widely applied to address the …
rapidly. Electronic Design Automation (EDA) has been widely applied to address the …