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ARIADNE_ Adaptive UVM Management for Efficient GPU Memory Oversubscription

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  1. 1. 📑 论文元数据 (Metadata)
  2. 2. 🎯 1. 核心洞察 (Executive Summary)
  3. 3. 🧭 2. 问题背景与论文定位 (Context & Positioning)
  4. 4. ⚙️ 3. 技术解构 (Methodology Deep Dive)
    1. 4.1. 3.1 设计目标与约束 (Design Targets)
    2. 4.2. 3.2 整体方案总览 (End-to-End Pipeline)
    3. 4.3. 3.3 关键机制拆解 (Core Mechanisms)
    4. 4.4. 3.4 Trade-off 与复杂度分析 (Trade-offs)
    5. 4.5. 3.5 为什么它比已有方法更强 (Why This Beats Prior Work)
  5. 5. 📉 4. 实验与评估 (Evaluation & Analysis)
    1. 5.1. 4.1 实验设置与公平性 (Setup & Fairness)
    2. 5.2. 4.2 主结果 (Main Results)
    3. 5.3. 4.3 消融、敏感性与边界条件 (Ablation & Sensitivity)
    4. 5.4. 4.4 这些实验到底证明了什么 (What the Evidence Really Proves)
  6. 6. 🔨 5. 批判性思考 (Critical Review)
    1. 6.1. ✅ 优点 (Pros)
    2. 6.2. ❌ 局限性与质疑 (Weaknesses)
    3. 6.3. 🔁 可迁移性与后续工作 (Transferability & Future Work)
  7. 7. 🧠 6. 深度追问 (Questions for the Authors)
  8. 8. 🧾 7. 一页总结 (Reader Takeaways)
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