Worked on the flashinfer-ai/flashinfer repository to implement a default CPU-based pin_memory mechanism for memory operations, aiming to improve compatibility and reliability across diverse environments. The approach involved modifying the memory management logic so that pin_memory defaults to the CPU, thereby reducing device-specific issues and enhancing cross-environment robustness. This update clarified the device-defaulting behavior in the codebase, making it more transparent and maintainable. The work was carried out using Python and leveraged expertise in GPU computing and memory management. The contribution focused on a single feature, reflecting a targeted and thoughtful improvement to the repository’s memory operation handling.