
Worked on optimizing the RDMA transfer path in the kvcache-ai/Mooncake repository by implementing round-robin scheduling for slice batching across multiple queue pairs, which improved data transfer throughput and load balancing for high-concurrency workloads. The approach involved adding multi-QP spraying logic to the RdmaEndPoint::submitPostSend function using C++ and advanced RDMA techniques, addressing both performance and reliability. Collaborated closely with another contributor to ensure code quality and effective integration. This work demonstrated strong skills in C++, RDMA, and system programming, delivering tangible improvements to network programming efficiency and robustness within a complex distributed system environment.
April 2026: Mooncake RDMA transfer path optimization. Implemented round-robin scheduling for slice batching across multiple QPs, boosting data transfer throughput and load balancing. Added multi-QP spraying in RdmaEndPoint::submitPostSend (PR #1721) and fixed a related bug. Co-authored by 玄武; commit 81100d93c97a5d6821e9d8314cdbde68dd412d82. This work demonstrates strong proficiency in RDMA, C++ performance tuning, and cross-team collaboration, delivering tangible improvements in data transfer reliability for high-concurrency workloads.
April 2026: Mooncake RDMA transfer path optimization. Implemented round-robin scheduling for slice batching across multiple QPs, boosting data transfer throughput and load balancing. Added multi-QP spraying in RdmaEndPoint::submitPostSend (PR #1721) and fixed a related bug. Co-authored by 玄武; commit 81100d93c97a5d6821e9d8314cdbde68dd412d82. This work demonstrates strong proficiency in RDMA, C++ performance tuning, and cross-team collaboration, delivering tangible improvements in data transfer reliability for high-concurrency workloads.

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