用于局部化和多层可视化的分布式计算
Distributed Computing for Localized and Multilayer Visualizations
摘要：
本文的目的是开发一种从分布式计算中受益的可视化方法。三种方案的进程分布被认为是：并行，管道和扩展管道计算。扩展流水线结构综合了并行计算和流水线计算的优点和特点。在扩展流水线计算中，本文提出了一种新的方法，多个进程在并行和打结的处理器流水线中并行开发。将流水线计算扩展为计算过程的理论基础是交替图灵机、分子计算和E机。扩展流水线计算构成了传统流水线体系结构的发展，旨在利用算法中存在的隐式并行结构。这样的结构出现在各种可视化中。图像导出和处理是为利用分布式计算的优点提供各种机会的领域。与分布式体系结构最相关的是分层可视化，其两种情况是基于数据本地化和层分离。可视化在这里被视为模拟的一个特殊情况。本文提出的分布式计算的概念方法已应用于计算机支持系统的可视化，该系统用于放射学，即用于脑动脉瘤的无创治疗。
英文摘要：
The aim of this paper is to develop an approach to visualizations that benefits from distributed computing. Three schemes of process distribution are considered: parallel, pipeline, and expanding pipeline computations. Expanding pipeline structure synthesizes the advantages and traits of both parallel and pipeline computations. In expanding pipeline computing, a novel approach presented in this paper, a multiplicity of processes are concurrently developed in parallel and knotted processor pipelines. The theoretical foundations for expanding pipeline computing as a computational process are in the domains of alternating Turing machines, molecular computing, and E-machines. Expanding pipeline computing constitutes the development of the conventional pipeline architecture aimed at utilization of implicit parallel structures existing in algorithms. Such structures appear in various kinds of visualization. Image deriving and processing is a field that provides diverse opportunities for utilization of the advantages of distributed computing. The most relevant to the distributed architecture is stratified visualization with its two cases based on data localization and layer separation. Visualization is treated here as a special case of simulation. The conceptual approach to distributed computing developed in this paper have been applied to visualization in a computer support system, which is utilized in radiology and namely, for the noninvasive treatment of brain aneurysms.
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