大规模并行阵列计算的循环范例

A. Shafarenko
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引用次数: 1

摘要

提出了一种基于递归关系和常量数据并行重载的并行数组处理应用范式。结果表明,建议的反柯里化原则与基于函数的渴望数组的引入导致了一种优于实用语言的数组扩展的指称系统,因为它可以利用数组的空间对称性来统一符号。这里的主要新颖之处是对箭头类型数组(可能是数组值函数的数组)的完全异步处理,由于数组构造函数的强制严格性,它很好地适用于具有静态调度的大规模并行数据流实现。数据的演化以传统的流变换形式定义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RETRAN: a recurrent paradigm for massively parallel array computing
An applicative paradigm of parallel array processing based on recurrence relations and a data-parallel overloading of constants is presented. It is shown that the suggested principle of anti-currying together with introduction of function-based, eager arrays result in a denotational system superior to array extensions of pragmatic languages in that it can exploit spatial symmetries of arrays to unify the notation. The main novelty here is completely asynchronous treatment of arrays of arrow types (arrays of possibly array-valued functions) which lends itself nicely to a massively parallel data-flow implementation with yet static scheduling due to the imposed strictness of the array constructor. The evolution of data is defined in the tradition form of stream transformation.<>
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