Pull Request已成功合入, 合并人@CANN-robot
（感谢 theorycs 的贡献）
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Hi @theorycs, welcome to submitting your first PR to cann-learning-hub!
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✅ Congratulations! All modules have met the lgtm and approve requirements.
Module Approval Details
| module | lgtm status | approve status |
|---|---|---|
| repo-cann/cann-learning-hub | ✅ waimaidaole, zutao (2/2) | ✅ waimaidaole, zutao (2/1) |
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⚠️ 本次变更过大（4 个可审文件、8727 行，预估需 8 轮分片审查），已超出 AI 代码评审的处理范围，本次跳过。建议拆分为更小的 PR 以获得有效评审。
⚠️ 本次变更过大（4 个可审文件、8727 行，预估需 8 轮分片审查），已超出 AI 代码评审的处理范围，本次跳过。建议拆分为更小的 PR 以获得有效评审。
/check-cla
CLA检查已通过，详情可参考这里
/compile
theorycs
@theorycs
感谢提交！data_structure_for_hpc 课程第三章分布式计算的 4 个 notebook
已在 CANN 9.1.0 / Ascend 910B3 环境下验证通过，编译运行正常，结果正确。
4 个 notebook 都做了很好的环境自适应设计——单卡环境自动降级到 simulate 仿真模式
验证逻辑正确性，多卡环境使用真机 HCCL，考虑很周到。
以下是验证结果：
验证环境
CANN 9.1.0 / Ascend 910B3 / device 7 / Python 3.11.4
变动文件 5 个：4 个 .ipynb + 1 个 README.md
文件类型均符合规范，无异常文件。
README 新增 4 行章节条目，格式正确，无冲突标记。
| Notebook | 代码cell | 通过 | 失败 | 状态 | 结果验证 |
|---|---|---|---|---|---|
| 03.01 HCCL 字符串词频统计 | 27 | 27 | 0 | ✅ PASS | result: PASS, mismatch_count: 0 |
| 03.02 一致性哈希环 | 20 | 20 | 0 | ✅ PASS | 迁移比例数据完整正确 |
| 03.03 分布式 B+树 | 22 | 22 | 0 | ✅ PASS | query_result: PASS |
| 03.04 HCCL CSR 图分区 | 30 | 30 | 0 | ✅ PASS | result: PASS, mismatch_count: 0 |
说明：
- 所有 notebook 源码通过 %%writefile 动态生成，符合课程规范
- 03.01 和 03.04 在单卡环境下自动降级为 simulate 模式，逻辑验证通过
- 编译、运行、结果校验均无报错
结论
验证通过，可以合入。
感谢您的贡献！
/lgtm
/approve
描述
在“面向高性能计算的数据结构”课程第3章“分布式计算”中，新增4个分布式计算实验。
本次新增实验包括：
基于HCCL集合通信实现分布式字符串词频统计，通过多设备协同完成数据划分、局部统计与结果聚合。
实现一致性哈希环及分布式哈希表的数据映射过程，模拟节点加入、退出时的数据重新分布与局部迁移。
模拟分布式B+树的数据组织与动态更新过程，实现节点变化场景下的索引调整及局部数据迁移。
基于CSR结构组织图数据，并结合HCCL完成多设备间的图分区信息通信与结果聚合。
关联的Issue
无。
测试
文档更新
类型标签
其他信息
无。