Generative AI for Self-Adaptive Systems: State of the Art and Research Roadmap
Self-adaptive systems (SASs) are designed to handle changes and uncertainties through a
feedback loop with four core functionalities: monitoring, analyzing, planning, and execution …
feedback loop with four core functionalities: monitoring, analyzing, planning, and execution …
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 …
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 …
Rtlfixer: Automatically fixing rtl syntax errors with large language models
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 …
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 …
NetLLM: Adapting large language models for networking
Many networking tasks now employ deep learning (DL) to solve complex prediction and
optimization problems. However, current design philosophy of DL-based algorithms entails …
optimization problems. However, current design philosophy of DL-based algorithms entails …
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 …
Assertllm: Generating and evaluating hardware verification assertions from design specifications via multi-llms
Assertion-based verification (ABV) is a critical method for ensuring design circuits comply
with their architectural specifications, which are typically described in natural language. This …
with their architectural specifications, which are typically described in natural language. This …
Hdldebugger: Streamlining hdl debugging with large language models
In the domain of chip design, Hardware Description Languages (HDLs) play a pivotal role.
However, due to the complex syntax of HDLs and the limited availability of online resources …
However, due to the complex syntax of HDLs and the limited availability of online resources …
Make every move count: Llm-based high-quality rtl code generation using mcts
M DeLorenzo, AB Chowdhury, V Gohil… - arXiv preprint arXiv …, 2024 - arxiv.org
Existing large language models (LLMs) for register transfer level code generation face
challenges like compilation failures and suboptimal power, performance, and area (PPA) …
challenges like compilation failures and suboptimal power, performance, and area (PPA) …