LLM Agents To Refactor Software For High Level Synthesis (Carnegie Mellon, UCLA)
Researchers from Carnegie Mellon University and UCLA published a technical paper titled “AgRefactor: Self-Evolving Agentic Workflow for HLS Compatibility and Performance.”
The paper introduces an “LLM-based multi-agent workflow for refactoring software into HLS-compatible programs” and reports a 6.51× geometric mean speedup over a state-of-the-art pragma tuning tool.
Find the technical paper here. June 2026.
Zou, Yang, Zijian Ding, Yizhou Sun, and Jason Cong. “AgRefactor: Self-Evolving Agentic Workflow for HLS Compatibility and Performance.” arXiv, June 2026. https://doi.org/10.48550/arXiv.2606.30949.
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