TritonParse: A Compiler Tracer, Visualizer, and Reproducer for Triton Kernels

An end-to-end agent project for GPU kernel implementation, analysis, profiling, and iterative optimization. It helps an agent turn PyTorch logic or an existing kernel into a high-performance GPU kernel through a structured, profile-driven workflow.

可验证的 CUDA 学习主线：SGEMM、通用 GPU 算子、性能优化与轻量推理组件

Production-grade HIP kernel optimization lab — matrix ops, reductions, shared memory patterns

Single-pass Triton kernel fusing KV-cache eviction scoring into FlashAttention decode — K/V read once, ~2.4x vs 3-pass baseline on T4

寻找乐趣, 寻找生活 — ML / GPU Kernel / 技术笔记