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<p>The MIT Tagged-Token Dataflow Project has an unconventional, but integrated approach to general-purpose high-performance parallel computing. Rather than extending conventional sequential languages, Id, a high-level language with fine-grained parallelism and determinacy implicit in its operational semantics, is used. Id programs are compiled to dynamic dataflow graphs, which constitute a parallel machine language. Dataflow graphs are directly executed on the MIT tagged-token dataglow architecture (TTDA), a multiprocessor architecture. An overview of current thinking on dataflow architecture is provided by describing example Id programs, their compilation to dataflow graphs, and their execution on the TTDA. Related work and the status of the project are described.</p>
MIT tagged-token dataflow architecture; general-purpose high-performance parallel computing; Id; high-level language; fine-grained parallelism; determinacy; operational semantics; dynamic dataflow graphs; parallel machine language; multiprocessor architecture; compilation; high level languages; parallel architectures; parallel programming; program compilers.

A. null and V. Nikhil, "Executing a Program on the MIT Tagged-Token Dataflow Architecture," in IEEE Transactions on Computers, vol. 39, no. , pp. 300-318, 1990.
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