During March 2026, Vincent Xiao expanded the autotuning configuration space for matrix multiplication and generalized matrix-vector multiplication in the FlagOpen/FlagGems Hopper backend. He introduced a YAML-driven tuning configuration that defines block sizes and tuning stages, updating the backend Python code to dynamically consume these parameters. This approach centralized tuning logic in configuration files, reducing manual intervention and enabling more flexible, configuration-driven optimization for matrix workloads. By focusing on backend development, configuration management, and performance optimization, Vincent’s work improved maintainability and scalability while laying the groundwork for faster performance experimentation and potential performance gains of up to 65% for targeted workloads.