Enterprise AI Analysis Report
AgRefactor: Refactoring for HLS Compatibility with a Self-Evolving Agentic Workflow
AgRefactor is an LLM-based multi-agent workflow designed to automatically refactor software into High-Level Synthesis (HLS)-compatible programs. It addresses the challenges of converting real-world software for hardware acceleration by employing long-term memory for self-evolving agents and integrating automated refactoring tools. The system significantly outperforms state-of-the-art approaches on challenging benchmarks, achieving up to 10x longer conversions and a 2.65x geometric mean speedup over initial synthesizable designs.
Executive Impact
AgRefactor transforms HLS development, delivering tangible benefits across key performance indicators for enterprise hardware acceleration.
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longer complex cases handled
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geometric mean speedup
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Automated refactoring process
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
HLS Refactoring Challenges
High-Level Synthesis (HLS) offers a fast path from concepts to silicon, but refactoring software into HLS-compatible programs is a tedious and time-consuming step. This is due to restrictive language support and the gap between software and hardware programming practices.
Self-Evolving Agentic Workflow
AgRefactor leverages an LLM-based multi-agent workflow, equipping agents with long-term memory specialized for HLS refactoring. This memory uses a dedicated knowledge format and a hybrid distance metric to measure task similarity, improving accuracy and scalability.
Tool-Integrated Refactoring
To reduce cost and improve scalability, AgRefactor integrates automated refactoring tools. It couples LLM-driven rewrites with existing tools like HeteroRefactor, enhancing its ability to handle complex real-world benchmarks efficiently.
2.65x
Geometric Mean Speedup Achieved
AgRefactor Workflow Overview
Input Software
→
Agentic Refactoring
→
HLS Compatibility Check
→
Pragma Optimization
→
Synthesizable Design
| Feature | Prior Work | AgRefactor |
|---|---|---|
| Refactoring Scope | Limited to smaller cases | 5-10x longer, real-world benchmarks |
| Automation | Partial, often manual intervention | Fully automated |
| Scalability | Challenges with complexity | Improved with long-term memory & tools |
| Performance | Baseline HLS conversion | 2.65x speedup post-optimization |
Impact on Hardware Acceleration
AgRefactor enables faster and more efficient hardware acceleration by transforming complex software into HLS-compatible code. This reduces development time and boosts performance, as demonstrated by its ability to handle challenging benchmarks with significant speedups. The self-evolving agentic workflow continuously learns and adapts, making it a robust solution for future HLS design flows.
- Reduced refactoring time from days to automated process
- Enabled HLS for previously intractable real-world applications
- Significantly improved design speed and quality metrics
Projected ROI Calculator
Estimate the potential efficiency gains and cost savings for your enterprise by integrating AgRefactor into your HLS development pipeline.
Annual Savings
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Annual Hours Reclaimed
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Your AgRefactor Implementation Roadmap
A structured approach to integrating AgRefactor for seamless HLS compatibility and accelerated development.
Phase 01: Analysis & Initial Refactoring
Identify HLS compatibility issues and apply initial automated refactoring. (1-2 Weeks)
Phase 02: Agentic Optimization Loop
Iteratively refine code using LLM agents with long-term memory and tool integration. (2-4 Weeks)
Phase 03: HLS Synthesis & Verification
Generate hardware and verify functional correctness and performance gains. (1-2 Weeks)
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