Abstract
This paper generalizes the traditional dataflow model of computation and defines the essential problems in multiprocessing: control implementation, program partitioning, scheduling, synchronization, and memory access. The paper assumes that these essential problems are axes of a multiprocessor design space and that the solutions to these problems are values on the axes. Each point in the space represents a multiprocessor including a computational paradigm that a user must follow to achieve high performance and efficiency on the particular machine. Thus, a classification of machines from the user's point of view is introduced naturally. Five well-known multiprocessors are compared using this classification scheme.
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