A model of objects and communication for massively parallel programming

For serial computation, the object-oriented methodology (O-O) has been shown to aid program modeling increase reusability, and result in more robust programs. Because of its object-centricity, O-O seems well suited to data parallel models of massively parallel programming. Many of the benefits of O-O stem from the arbitrary combining of objects, and the resulting arbitrary message passing patterns. Unfortunately, when working with tens of thousands of processors in parallel, this arbitrariness can result in communication conflicts. The paper proposes a model of objects and communication that resolves this problem.<>