揭秘LLM生成GPU内核的“正确性幻觉”，评估代码看似正确却暗藏隐患的边界问题。
arXiv:2606.20128v1 Announce Type: cross Abstract: Benchmarks for LLM-generated GPU kernels (KernelBench, TritonBench, GEAK) score correctness through …
NVIDIA 开源 cuTile Rust，在 GPU 内核中实现安全无数据竞争，基于 CUDA 13.1+ 支持张量分块计算。
Article URL: https://github.com/nvlabs/cutile-rs Comments URL: https://news.ycombinator.com/item?id=48561410 Points: 1 # Comments: 1
无需GPU，通过软件模拟CUDA执行模型，掌握map/reduce/scan并行编程核心。
The usual blocker to learning GPU programming is hardware. The official guides assume you have a CUDA-capable NVIDIA card, a working toolchain, and a …
全新基准测试CUDABeaver，系统评估大语言模型在CUDA自动调试中的表现与能力边界
arXiv:2605.08455v2 Announce Type: replace Abstract: Debugging CUDA programs has long been challenging because failures often arise from subtle interac…
自动发现并优化GPU内核，实现34.93倍平均加速，MLSys 2026竞赛开源项目。
Article URL: https://github.com/Dogacel/auto-gpu-kernel Comments URL: https://news.ycombinator.com/item?id=48274965 Points: 1 # Comments: 0
精选CUDA编程必备书籍，从入门到进阶，涵盖最新2024-2026年新书，适合所有GPU并行计算学习者。
Article URL: https://github.com/alternbits/awesome-cuda-books Comments URL: https://news.ycombinator.com/item?id=48168485 Points: 219 # Comments: 56
HPC和GPU编程是否值得深入学习？这个Hacker News讨论帮你理清职业方向与学习时机
I am going to do my Msc in Computer Science and I'll have to pick a specialization between Parallel Computing, Scientific Computing, Quantum Computing…