I'm currently working as a Triton compiler engineer, with a strong interest in Python-based DSLs and IR-level transformations.
I primarily maintain the following open-source projects in https://github.com/OpenMLIR for Triton
LLM Inference via Triton (Flexible & Modular): Focused on Kernel
Triton multi-level runner, include cubin, ptx, ttgir etc.
Getting Started with Triton: A Tutorial for Python Beginners
Triton for OpenCL backend, and use mlir-translate to get source OpenCL code
- 🧠 PyTorch new backend https://github.com/pytorch/pytorch
- 🖥️ MLIR https://github.com/llvm/llvm-project
- 🛠️ LLVM RISC-V backend https://github.com/llvm/llvm-project
- 📦 libclc(library of OpenCL) https://github.com/llvm/llvm-project
- ⚡ POCL(runtime of OpenCL) https://github.com/pocl/pocl
- 🧩 QEMU(emulator)https://github.com/qemu/qemu
- 🧑💻 MLSynthesis(FPGA HLS TOOL) https://github.com/pku-liang/hector
- 🧪 MLSynthesis Debuger(FPGA HLS TOOL) https://github.com/pku-liang/Hestia
- ⚙️ onnx-mlir (Lowering of ONNX Models in MLIR) https://github.com/onnx/onnx-mlir
- 🧰 Polygeist(C/C++ frontend for MLIR) https://github.com/llvm/Polygeist