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LLM Agents To Refactor Software For High Level Synthesis (Carnegie Mellon, UCLA)

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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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