Software developer located in Taiwan. B.Eng of Computer Science of National Sun Yat-sen University (as in 2018). Now working for Lumina Inc as a senior C++ developer and software architect. I’m also a FOSS developer posting random bug fix and enhancements.
Interests and expertise
My main expertise is modem C++(post C++11), GPU computing(OpenCL, HIP), Physically Based Rendering, Machine Learning (the computation part) and backed development. I also have experience in Realtime 3D Graphics(OpenGL), high-performance computing, Linux and reverse engineering.
I’m also a free and open source software developer. I love and believe the mindset behind FOSS. I try to fix bug in software I use if I encounter them and implement feature if I need them. Most of my recent contributions goes towards the Drogon Web Application Framework.
- Drogon – Fully featured web application framework for modern C++. Focusing on absolute performance
- SimpleRay – A simple Path Tracer with PBRTv2 scene format and Embree support
- embree-arm – A port of Intel’s Embree ray tracing library ported to run on ARM CPU
- ぶれないアイで – A music video/demo of my home-brew path tracer
- Etaler – A very fast and GPU capable HTM framework.
Tools I made
- dremini – Server and client for the Gemini protocol based on drogon
- language-chaiscript – ChaiScript syntax highlighting support for GitHub Atom
- model2pbrt – Convert model files into PBRTv2 format
- HTMHelper – NuPIC.core abstraction wrapper for easy development
- tiny-htm – The fastest Hierarchical Temporal Memory library on the CPU for the time being. (Now slower then my other library, Etaler)
- Modern C++ – I have been a long time C++ user and have built most of my projects in C++
- High Performance Computing
- Data Science – Combining with my knowledge in C++. I build high-performance data analysis tools.
- Computer Graphics – Started out being a graphics programmer. I have implemented my own OpenGL and Path Tracing engine.
- I love games yet why movies look better – SITCON 2016 (Unconference)
- Introduction to GPU computing with OpenCL – SITCON 2018, video