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Achievement: Pull Sharkx2
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@ROCmSoftwarePlatform @ROCm
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howiejayz/README.md

Hello, I'm Junhao Zhang! 👋

wakatime GitHub followers

🚀 About Me

  • 🎓 Alumnus of Imperial College London
  • 💼 Machine Learning Software Engineer at AMD
  • 🌱 I’m highly skilled in C++ and Python.
  • 🔭 I have deep knowledge of PyTorch, CUDA, and HIP.

📫 How to Reach Me

🛠 Tech Stack

Tech Stack

👷 Recently Projects

  • Flash Attention: Implemented Flash Attention algorithm on MI200/MI300 using PyTorch and Composable Kernel.

⌨️ My Development Breakdown

From: 27 October 2023 - To: 30 April 2024

Total Time: 202 hrs 14 mins

Python             93 hrs 42 mins  ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣄⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   44.71 %
C++                38 hrs 23 mins  ⣿⣿⣿⣿⣦⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   18.32 %
Bash               27 hrs 18 mins  ⣿⣿⣿⣤⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   13.03 %
Docker             12 hrs 1 min    ⣿⣦⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   05.74 %
Other              7 hrs 21 mins   ⣷⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   03.51 %
TypeScript         7 hrs 11 mins   ⣷⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   03.43 %
Text               6 hrs 57 mins   ⣷⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   03.32 %
CMake              3 hrs 43 mins   ⣦⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   01.78 %
Cuda               3 hrs 29 mins   ⣦⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   01.67 %
Markdown           2 hrs 12 mins   ⣤⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   01.06 %

Pinned

  1. flappy-bird-wechat-minigame flappy-bird-wechat-minigame Public

    a implementation on Wechat Minigame of Flappy Bird

    JavaScript

  2. graph-digitiser graph-digitiser Public

    Individual project @ University of Liverpool

    C++

  3. Video-Player-Controlled-by-Action-Recognition Video-Player-Controlled-by-Action-Recognition Public

    Forked from Diregie-J/Video-Player-Controlled-by-Action-Recognition

    Jupyter Notebook

  4. ROCm/flash-attention ROCm/flash-attention Public

    Forked from Dao-AILab/flash-attention

    Fast and memory-efficient exact attention

    Python 86 25

  5. flash-attention flash-attention Public

    Forked from ROCm/flash-attention

    Fast and memory-efficient exact attention

    C++