Domain flow and streaming architectures

E. T. L. Omtzigt
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引用次数: 5

Abstract

The author introduces the main ideas of a system compiler for affine dependence algorithm. The first idea is a streaming architecture, which is a machine model for the compiler that reduces control overhead in comparison with an ensemble of von Neumann architectures. Such a streaming architecture is a dedicated architecture programmed with an incremental array instruction to be able to run any instance of the problem. The second idea is the domain flow model, which is a program representation that captures the communication of the algorithm. The structure of the compiler reflects the division between synthesis and code generation. A general front-end generates a domain flow graph. Both synthesis and code generation phases work off this data structure. However, each phase has its own back-end. For the synthesis phase the back-end is a design critic combined with an expert system which makes decision about what to do next to satisfy the design goals. For the code generation phase the back-end iterates through different partitioning and code generation strategies.<>
领域流和流架构
作者介绍了仿射依赖算法系统编译器的主要思想。第一个想法是流架构,这是一个编译器的机器模型,与冯·诺伊曼架构的集合相比,它减少了控制开销。这样的流架构是一种专用架构,使用增量数组指令编程,以便能够运行问题的任何实例。第二个思想是领域流模型,它是捕获算法通信的程序表示。编译器的结构反映了合成和代码生成的区别。通用前端生成域流图。合成和代码生成阶段都使用这种数据结构。然而,每个阶段都有自己的后端。在综合阶段,后端是一个设计评论家和一个专家系统,它决定下一步该做什么来满足设计目标。对于代码生成阶段,后端迭代不同的分区和代码生成策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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