Data path construction and refinement

F. Tsai, Y. Hsu
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引用次数: 32

Abstract

A system is described for the data path allocation problem in digital signal processor synthesis. The system, STAR, consists of three phases-preprocessing, data path construction (DPC), and data path refinement (DPR). The actions taken in each phase are described. The authors' contributions include the following: (1) theorems for the lower bound of the number of interconnections; (2) in the DPR phase, a more global view of the allocation problem is taken by ripping up and reallocating different types of objects simultaneously; (3) a novel technique to evaluate the binding quality of an object on the basis of a sharing of hardware resources which the object uses; (4) a method to judge the potential for upgrading a data path; and (5) an iterative improvement technique based on the idea of a relation network. The system currently supports the synthesis of architecture in linear topology and random topology. Parameters can be specified to explore different design alternatives and design space. Experiments on benchmarks show promising results.<>
数据路径的构建和细化
介绍了一种用于数字信号处理器合成中数据路径分配问题的系统。STAR系统由预处理、数据路径构建(DPC)和数据路径细化(DPR)三个阶段组成。描述了每个阶段中采取的行动。作者的贡献包括:(1)互连数下界的定理;(2)在DPR阶段,通过同时拆分和重新分配不同类型的对象,以更全局的视角看待分配问题;(3)基于对象使用的硬件资源共享来评估对象绑定质量的新技术;(4)判断数据路径升级潜力的方法;(5)基于关系网络思想的迭代改进技术。该系统目前支持线性拓扑和随机拓扑的建筑综合。可以指定参数来探索不同的设计方案和设计空间。在基准测试上的实验显示出令人鼓舞的结果。
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