Agentic Architect: An Agentic AI Framework for Architecture Design Exploration and Optimization
📰 ArXiv cs.AI
Learn how Agentic Architect, an AI framework, optimizes computer architecture design using Large Language Models (LLMs) for exploration and optimization
Action Steps
- Apply LLMs to generate microarchitectural designs
- Use Agentic Architect to explore vast combinatorial design spaces
- Configure the framework to optimize performance based on design policies
- Test and evaluate the optimized designs using simulation tools
- Compare the results with traditional design methods to assess improvements
Who Needs to Know This
Architects and AI researchers on a team can benefit from this framework to explore and optimize computer architecture designs
Key Insight
💡 Agentic Architect combines LLMs with agentic AI to efficiently explore and optimize computer architecture designs
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🤖 Agentic Architect: AI framework for architecture design exploration & optimization using LLMs! 💻
Key Takeaways
Learn how Agentic Architect, an AI framework, optimizes computer architecture design using Large Language Models (LLMs) for exploration and optimization
Full Article
Title: Agentic Architect: An Agentic AI Framework for Architecture Design Exploration and Optimization
Abstract:
arXiv:2604.25083v1 Announce Type: new Abstract: Rapid advances in Large Language Models (LLMs) create new opportunities by enabling efficient exploration of broad, complex design spaces. This is particularly valuable in computer architecture, where performance depends on microarchitectural designs and policies drawn from vast combinatorial spaces. We introduce Agentic Architect, an agentic AI framework for computer architecture design exploration and optimization that combines LLM-driven code ev
Abstract:
arXiv:2604.25083v1 Announce Type: new Abstract: Rapid advances in Large Language Models (LLMs) create new opportunities by enabling efficient exploration of broad, complex design spaces. This is particularly valuable in computer architecture, where performance depends on microarchitectural designs and policies drawn from vast combinatorial spaces. We introduce Agentic Architect, an agentic AI framework for computer architecture design exploration and optimization that combines LLM-driven code ev
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