Advances in the dataflow computational model

✍ Scribed by Walid A Najjar; Edward A Lee; Guang R Gao

• Publisher: Elsevier Science
• Year: 1999
• Tongue: English
• Weight: 158 KB
• Volume: 25
• Category: Article
• ISSN: 0167-8191
• DOI: 10.1016/s0167-8191(99)00070-8

✦ Synopsis

The data¯ow program graph execution model, or data¯ow for short, is an alternative to the stored-program (von Neumann) execution model. Because it relies on a graph representation of programs, the strengths of the data¯ow model are very much the complements of those of the stored-program one. In the last thirty or so years since it was proposed, the data¯ow model of computation has been used and developed in very many areas of computing research: from programming languages to processor design, and from signal processing to recon®gurable computing. This paper is a review of the current state-of-the-art in the applications of the data¯ow model of computation. It focuses on three areas: multithreaded computing, signal processing and recon®gurable computing.