Abstract

There are now several versions of Lisp for massively parallel SIMD architectures like the Thinking Machines Connection Machine. We describe here the extensions made to EuLisp for data-parallel programming and their implementation on a specific platform, a MasPar MP-1. Plural EuLisp, in keeping with the rest of the language, presents a collection of simple orthogonal operators which capture the essence of data parallel processing. In support of this, we demonstrate how to implement a number of higher-level abstraction from other data-parallel languages.

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