A Shared Memory model based on the Dataflow paradigm

In this paper a Shared Memory model designed to be efficiently implemented on a collection of autonomous processing elements is presented. The model is inspired by the Dataflow paradigm. The main features of the model are: the single assignment principle, multi-dimensional addressing scheme, and associative data access primitives. The single assignment principle limits the number of updates of a uniquely identified and atomic data object to one. In a multidimensional addressing the atomic data objects - pages are located in an n-dimensional address space. An associative data read primitive will succeed only when a specified set of memory pages becomes available. The model can be implemented on both tightly coupled shared memory MIMD machines, and distributed systems of heterogenous machines connected by a computer network