In March 2025, Mingfei Fang contributed to the deepseek-ai/DeepEP repository by optimizing the Notify Dispatch: Metadata Calculation path using CUDA and C++. He implemented dynamic warp sizing to align GPU parallelism with the number of channels, allowing a single loop to process metadata for all channels and reducing unnecessary iterations. This approach improved throughput and GPU occupancy while lowering latency in metadata preparation. Mingfei’s work demonstrated a strong grasp of performance optimization and GPU programming, resulting in more efficient resource utilization and a scalable codebase that is easier to extend and maintain for future DeepEP development needs.