Open arcondello opened 3 years ago
For very large CQMs, it would be helpful to have something like numpy.memmap. It would wrap a CQM file, as generated by CQM.to_file. Constraints and objectives could then be added directly to storage rather than being stored in memory.
CQM.to_file
Changed the title because memory-mapped is not quite what we're talking about here.
For very large CQMs, it would be helpful to have something like numpy.memmap. It would wrap a CQM file, as generated by
CQM.to_file
. Constraints and objectives could then be added directly to storage rather than being stored in memory.