Archives Readings Projects Publications Links About 3D Reconstruction RL Foundations ML Systems HPC Games Basics Misc 尝试对Kimi KDA的数学推导&算子实现分析 Flash Attention CUDA Kernel 优化: 从 56 到 986 TFLOPS on B300 — G1: 一切的开始 (56→130) Flash Attention CUDA Kernel 优化: 从 56 到 986 TFLOPS on B300 — G2: 从算术指令到 Occupancy 的挣扎 (130→144) Flash Attention CUDA Kernel 优化: 从 56 到 986 TFLOPS on B300 — G4: SM103 + TMA + TCGen05 (227→221) Flash Attention CUDA Kernel 优化: 从 56 到 986 TFLOPS on B300 — G3: Fragment Reshape 与架构级突破 (144→227) Flash Attention CUDA Kernel 优化: 从 56 到 986 TFLOPS on B300 — G6: Cluster 与 2CTA 探索 (727→880) Flash Attention CUDA Kernel 优化: 从 56 到 986 TFLOPS on B300 — G5: Pipeline 重构与双缓冲 (221→727) Flash Attention CUDA Kernel 优化: 从 56 到 986 TFLOPS on B300 — G7: 回归 1CTA (880→987) TopK kernel 优化: from 20GB/s to 2024GB/s on B300 Paged attention kernel optimization(I) MoE vs Dense Models in Inference Streams and Concurrency on CUDA Foundation of Reinforcement learning(V) Foundation of Reinforcement learning(IV) Foundation of Reinforcement learning(III) Foundation of Reinforcement learning(II) Foundation of Reinforcement learning(I) nanoPD:一个 LLM P/D 分离推理引擎的实现笔记 3D Reconstruction Series 学习笔记：Tensor Parallelism（TP） HPCGames 题解 D E 题 HPCGames 题解 A B C 题 SF3D 论文阅读记录 ViT Transformer 的阅读?(应该算是阅读吧) 回顾一下Transformer SLAM Former 阅读 重返vggt 论文阅读记录：reloc3r 论文阅读记录：Fast3R 论文阅读记录：MAst3R VGGT读后有感 为SLAM3R补充实时处理函数方法 SLAM3R读后有感 Celebrate and Introduce My First Page