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News/HLS-Seek: QoR-Aware Code Generation for High-Level Synthesis via Proxy Comparative Reward Reinforcement Learning
arxiv
PublishedMay 14, 2026 at 4:00 AM
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HLS-Seek: QoR-Aware Code Generation for High-Level Synthesis via Proxy Comparative Reward Reinforcement Learning

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2605.13536v1 Announce Type: cross Abstract: High-Level Synthesis (HLS) compiles algorithmic C/C++ descriptions into hardware, with Quality of Results (QoR) -- latency and resource utilization -- critically governed by pragma configurations and code structure. Existing LLM-based HLS approaches

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Mentioned models
02
  • 01
    HLS-Seek
  • 02
    GPT-5.1
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arxiv
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Tags
04
#reinforcement learning#high-level synthesis#quality of results#hardware compilation

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Mentioned models
02
  • 01
    HLS-Seek
  • 02
    GPT-5.1
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#reinforcement learning#high-level synthesis#quality of results#hardware compilation

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