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Can dataflow subsume von Neumann computing?

R. S. Nikhil

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Abstract

We explore the question: “What can a von Neumann processor borrow from dataflow to make it more suitable for a multiprocessor?” Starting with a simple, “RISC-like” instruction set, we show how to change the underlying processor organization to make it multithreaded. Then, we extend it with three instructions that give it a fine-grained, dataflow capability. We call the result P-RISC, for “Parallel RISC.” Finally, we discuss memory support for such multiprocessors. We compare our approach to existing MIMD machines and to other dataflow machines.

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What this paper is about

We explore the question: “What can a von Neumann processor borrow from dataflow to make it more suitable for a multiprocessor?” Starting with a simple, “RISC-like” instruction set, we show how to change the underlying processor organization to make it multithreaded. Then, we extend it with three instructions that give it a fine-grained, dataflow capability. We call the result P-RISC, for “Parallel RISC.” Finally, we discuss memory support for such multiprocessors. We compare our approach to existing MIMD machines and to other dataflow machines.

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Available abstract

We explore the question: “What can a von Neumann processor borrow from dataflow to make it more suitable for a multiprocessor?” Starting with a simple, “RISC-like” instruction set, we show how to change the underlying processor organization to make it multithreaded. Then, we extend it with three instructions that give it a fine-grained, dataflow capability. We call the result P-RISC, for “Parallel RISC.” Finally, we discuss memory support for such multiprocessors. We compare our approach to existing MIMD machines and to other dataflow machines.

Key concepts: Dataflow, Computer science, MIMD, Dataflow architecture, Parallel computing, Von Neumann architecture, Multiprocessing, Instruction set

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