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Parallel functional programming on recursively defined data via data-parallel recursion

机译:通过数据并行递归对递归定义的数据进行并行功能编程

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This article proposes a new language mechanism for data-parallel processing of dynami- cally allocated recursively defined data. Different from the conventional array-based data- parallelism, it allows parallel processing of general recursively defined data such as lists or trees in a functional way. This is achieved by representing a recursively defined datum as a system of equations, and defining new language constructs for parallel transformation of a system of equations. By integrating them with a higher-order functional language, we obtain a functional programming language suitable for describing data-parallel algorithms on recursively defined data in a declarative way. The language has an ML style polymorphic type system and a type sound operational semantics that uniformly integrates the parallel evaluation mechanism with the semantics of a typed functional language. We also show the intended parallel execution model behind the formal semantics, assuming an idealized distributed memory multicomputer.
机译:本文提出了一种用于动态分配递归定义的数据的数据并行处理的新语言机制。与传统的基于数组的数据并行性不同,它允许以功能方式并行处理通用递归定义的数据(例如列表或树)。这是通过将递归定义的数据表示为方程组,并为方程组的并行转换定义新的语言构造来实现的。通过将它们与高阶函数语言集成,我们获得了一种适合以声明方式描述递归定义的数据上的数据并行算法的函数编程语言。该语言具有ML样式多态类型系统和类型声音操作语义,该语义将并行评估机制与类型功能语言的语义统一集成。假设理想化的分布式内存多计算机,我们还将在形式语义后面显示预期的并行执行模型。

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