Memory Efficiency

One-by-one we convert our natural language comments representing model vars and constraints into actual model entities. In the process, we add display statements for health-checking the memory size and cardinality of our new model element.

With constraints in place which ensure that selected LEGO® sets are complete, we now implement constraints limiting the search space to sets that the user desires. We then observe that, while functional, a faster-computing way to implement such ‘problem shrinking’ is via set manipulation rather than constraint imposition.

A methodical walk across the optimization toolchain and down through the underlying stack/OS in search of performance bottlenecks and their remedies.