专家引导的智能体框架，利用LLM自动生成高性能GPU内核，减少人工调优依赖，加速大模型计算。
arXiv:2606.26758v1 Announce Type: new Abstract: High-performance GPU kernels are critical for reducing the exponentially growing computational costs o…
专为Apple Metal优化的GEMM内核生成器开源发布，支持自定义tile、warp、数据类型与激活函数，加速Metal计算性能。
Released mCemm a GEMM (General Matrix Multiply) kernel generator for Apple Metal which generates optimized Metal shaders with configurable tile sizes,…
用大模型自动生成跨平台AI加速器内核，通过算子融合与混合精度提升算力效率
arXiv:2606.02963v1 Announce Type: new Abstract: Production inference increasingly targets a heterogeneous mix of accelerators. Agentic pipelines inter…
用大规模合成数据和强化学习自动生成高性能Triton内核，突破GPU计算优化瓶颈。
arXiv:2603.21465v2 Announce Type: replace-cross Abstract: Developing efficient CUDA kernels is a fundamental yet challenging task in the generative AI…