In this paper, we analyze lattice linearity of multiplication and modulo
operations. We demonstrate that these operations are lattice linear and the
parallel processing algorithms that we study for both these operations are able
to exploit the lattice linearity of their respective problems. This implies
that these algorithms can be implemented in asynchronous environments, where
the nodes are allowed to read old information from each other and are still
guaranteed to converge within the same time complexity. These algorithms also
exhibit properties similar to snap-stabilization, i.e., starting from an
arbitrary state, the system follows the trace strictly according to its
specification