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.
翻译:在本文中,我们分析乘数和模子操作的细细线性。 我们证明这些操作是线性线性操作,我们为这两个操作研究的平行处理算法能够利用各自问题的细线性。 这意味着这些算法可以在非同步环境中实施,在这种环境中,节点可以相互阅读旧信息,并且仍然可以保证在同一时间的复杂性范围内汇合。 这些算法还显示出类似于快速稳定化的特性,也就是说,从任意状态开始,系统严格遵循其规格的跟踪。