During March 2025, Frank Sun developed and delivered the MXFP scale factor derivation method (RCEIL) for the pytorch/ao repository, focusing on improving the precision and reliability of floating-point tensor computations. He implemented a CUBLAS-style approach to scale-factor derivation, ensuring MXFP’s numerical results align with established standards for interoperability. The work emphasized test-driven development, with a comprehensive test suite validating robustness across diverse MXFP scenarios. Using Python, CUDA, and PyTorch, Frank contributed to both feature implementation and CI/test suite enhancements. The depth of his work is reflected in the improved accuracy and maintainability of MXFP’s tensor computation pipeline.