
Worked on the DeepEP repository to enhance inter-node data transfer performance and dispatch reliability in large-scale distributed systems. Focused on optimizing internode kernel communication by allocating one RDMA queue pair per streaming multiprocessor and updating channel ID calculations, which improved throughput and scalability for high-performance computing workloads. Addressed a race condition in the dispatch logic by restricting certain operations to a single warp, reducing redundant sends and increasing stability. Utilized C++, CUDA, and Python to implement these changes, while documenting modifications to support future scaling and maintainability. The work demonstrated depth in performance optimization and distributed systems engineering.
June 2025 – DeepEP (deepseek-ai/DeepEP): Enhanced inter-node data transfer performance and dispatch reliability with targeted optimizations and a key stability fix. This month focused on optimizing inter-node kernel communication and eliminating race conditions that could impact throughput on large-scale deployments.
June 2025 – DeepEP (deepseek-ai/DeepEP): Enhanced inter-node data transfer performance and dispatch reliability with targeted optimizations and a key stability fix. This month focused on optimizing inter-node kernel communication and eliminating race conditions that could impact throughput on large-scale deployments.

Overview of all repositories you've contributed to across your timeline