π Student at University of Electronic Science and Technology of China (UESTC)
π Based in China
π‘ Focusing on GPU Computing, High-Performance Computing & Parallel Programming
- π GPU-accelerated fluid simulation software kernels
- π GPU-accelerated SpMV operators research
- β‘ High-performance computing solutions with CUDA
Primary Languages: C++ | CUDA | Python
Focus Areas:
- GPU Computing & CUDA Programming
- High-Performance Computing (HPC)
- Parallel & Concurrent Programming
CUDA concurrency library that simplifies parallel programming by automating concurrency flow management with C++-style wrappers.
Lightweight deep learning library in C++ with CUDA C for efficient GPU-accelerated model training and inference.
- π¬ Open to collaborations on GPU computing and HPC projects
- π§ Feel free to reach out via GitHub issues
"Making parallel computing simpler and faster"