Memory overhead and performance trade‑offs when using matfile to access large .mat variables versus full load on limited RAM

Data Restoration Memory Constraints

\p\nMATLAB's .mat file format supports version 7.3 with HDF5 storage, enabling variables larger than 2 GB via the -v7.3 flag. The load function restores all variables into the workspace, requiring contiguous memory for the entire dataset, while the matfile object permits indexed access to subsets without loading the full content.\p\nThe key question is how the memory overhead and latency of matfile operations compare when retrieving small slices from a massive array on a system where total RAM is limited. Does the matfile approach introduce additional memory consumption or performance penalties relative to a full load when the variable size approaches the system's physical memory limit? Specifically, what is the maximum memory overhead observed for matfile access of variables exceeding 2 GB, and how does iterative slicing affect overall RAM usage compared to a single load operation?