The increasing disparity between computing capabilities and communication bandwidth has become a major bottleneck in High Performance Computing (HPC) applications. To address this challenge, we introduce a framework that leverages early data compression for communication data within the Open MPI library with the use of userfaultfd (uffd) for efficient write detection. By integrating the high-speed LZ4 compression algorithm, the proposed framework minimizes communication overhead by reducing the size of data transmitted among processes while hiding compression overhead behind either pack or communication overhead. Applying our uffd framework onto Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics (LULESH) highlights the potential of the framework in reducing data communication volumes and overall communication latency, paving the way for improved performance in HPC environments.