This paper describes ASPAR (Automatic and Symbolic PARallelization) which consists of a source-to-source parallelizer and a set of interactive graphic tools. While the issues of data dependency have already been explored and used in many parallel computer systems such as vector and shared memory machines, distributed memory parallel computers require, in addition, explicit data decomposition. New symbolic analysis and data-dependency analysis methods are used to determine an explicit data decomposition scheme. Automatic parallelization models using high level communications are also described in this paper. The target applications are of the “regular-mesh" type typical of many scientific calculations. \ud\udThe system has been implemented for the language C, and is designed for easy modification for other languages such as Fortran.
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机译：本文介绍了ASPAR（自动和符号并行），它由一个源到源并行器和一组交互式图形工具组成。尽管已经研究了数据依赖性问题，并将其用于许多并行计算机系统（例如矢量和共享存储计算机）中，但分布式内存并行计算机还需要进行显式数据分解。新的符号分析和数据相关性分析方法用于确定明确的数据分解方案。本文还介绍了使用高级通信的自动并行化模型。目标应用程序是许多科学计算中典型的“常规网格”类型\ ud \ ud系统已针对C语言实现，并旨在轻松修改其他语言（如Fortran）。
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