Changcheng L is a seasoned Network Software Engineer with a decade of experience building and optimizing system-level and distributed storage software, currently at NVIDIA after significant engineering roles at Intel. He has deep hands-on expertise in Ceph development, RDMA/InfiniBand performance tuning, and kernel-level debugging—contributions surfaced in major open-source projects like UCX, perftest, and upstream Linux and Ceph. Changcheng’s work spans feature design (e.g., Replicated WriteBack Cache, RDMA-enabled messengers) to low-level driver and io_uring integrations for NVMe/PMEM, demonstrating a strong focus on performance and device-specific optimizations. Comfortable bridging engineering and partner communications, he combines practical pre-silicon Android system bring-up experience with a persistent self-driven appetite for new technologies. Notably, his open-source contributions include ECE enhancements for RDMA in UCX and upstream patches across multiple foundational projects, reflecting influence beyond his employer codebases.
9 years of coding experience
7 years of employment as a software developer
Master of Science (MS), SoC Architecture & Embedded System Design, Master of Science (MS), SoC Architecture & Embedded System Design at Southeast University
Bachelor degree, Micro Electronics, Bachelor degree, Micro Electronics at Soochow University (CN)
Unified Communication X (mailing list - https://elist.ornl.gov/mailman/listinfo/ucx-group)
Role in this project:
Back-end Developer & Performance Engineer
Contributions:497 reviews, 31 commits, 107 PRs in 1 year 7 months
Contributions summary:Changcheng primarily contributed to the UCX (Unified Communication X) library, focusing on performance improvements and bug fixes. They addressed issues related to I/O operations, worker progress, and connection requests. Furthermore, the user implemented features such as setting multiple client IP addresses and introduced enhancements such as the ECE (Enhanced Connection Establishment) feature for RDMA, with a focus on device-specific optimizations.
Contributions:5 reviews, 12 commits, 18 PRs in 8 months
Contributions summary:Changcheng primarily focused on refining and maintaining the performance tests for the Infiniband Verbs library. Their contributions include fixing API descriptions, removing unsupported features, and correcting comments. They also removed unused parameters and refactored code for improved readability, focusing on buffer usage and parameter types. These changes demonstrate a strong understanding of the underlying RDMA technology.
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Changcheng L - Network Software Engineer at NVIDIA