LLM驱动GPU内核自动生成，工程优化是关键——比赛级技术报告揭示提示工程与循环生成创新
arXiv:2607.17979v1 Announce Type: cross Abstract: Large language models (LLMs) can assist GPU kernel generation, but their practical effectiveness dep…
企业级LLM优化新利器OptiKIT，自动满足SLO并大幅缩短优化时间，MLSys 2026收录论文。
arXiv:2601.20408v2 Announce Type: replace-cross Abstract: Enterprise LLM deployment faces a critical scalability challenge: organizations must optimiz…
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
面向Superchip的LLM推理优化，提出SLO感知的旋转调度与内存管理方案，已被MLSys '26接收。
arXiv:2601.20309v2 Announce Type: replace-cross Abstract: Large Language Model (LLM) serving faces a fundamental tension between stringent latency Ser…