Beginner score
30/100
Competition workspace
适合已有 RISC-V 软件开发背景的个人或团队，尤其是能在 openEuler 环境中做大模型推理加速、基础软件并发同步优化，或基于 RISC-V 芯片开发工业 AI 应用的人。参赛以团队形式进行，但个人和各类机构人员均可参与。
Suggested next step
Decide whether this contest fits your current stage before you sink time into the leaderboard.
Beginner score
30/100
Learning value
60/100
Estimated effort
24-80 hours
Metric
Official scoring is published on the Op…
适合已有 RISC-V 软件开发背景的个人或团队，尤其是能在 openEuler 环境中做大模型推理加速、基础软件并发同步优化，或基于 RISC-V 芯片开发工业 AI 应用的人。参赛以团队形式进行，但个人和各类机构人员均可参与。
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
RISC-V 架构与 V 扩展
C/C++ 多线程编程
大模型 FP16 推理优化
弱内存序与 fence 同步
openEuler 2403
Perf 或 Gprof 性能分析
The real friction is usually not library usage. It is validation, time allocation, and task framing.
难点不仅是实现功能，而是要在 RISC-V 平台上证明优化既正确又有效：推理赛题需要提升执行速度，内存序赛题要在避免数据竞争和死锁的前提下优化 fence 组合，并提交性能分析与正确性验证。作品还必须能脱离原开发环境编译或运行，同时处理开源代码来源、许可证和占比说明。
This guide is the best pre-read if you want a cleaner start instead of trial-and-error.
How to learn feature engineering, validation, and competition workflow without heavy hardware.
No GPU? Pick Competitions That Still Teach You Good HabitsUse these fields to make a quick decision before you dive deeper.
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Official metric is not published on the OpenAtom competition listing; verify scoring on the competition page.
reward_value_usd is a rough CNY→USD estimate (×0.14) for ranking only; use reward_summary for the official prize text.