基于并行处理器的智能系统构建方法

Y. Seitkulov, Amur G. Tokhtabayev, S. Atanov, N. L. Verenik, A. I. Girel, M. Tatur
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引用次数: 0

摘要

本文阐述了认知过程作为聚类任务、分类和关联搜索的总和的原始解释,并给出了这些概念的定义。一般解决方案的计算图的相似性使我们有机会制定一种构建智能应用系统的统一方法。本文包括对给定的原始方法的描述。研究了基于矢量处理器的计算系统核心体系结构,给出了数据格式、任务系统格式的描述,以及处理器功能的一般原则。本文研究了基于GPU的计算系统的实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Methodology of building intelligent systems on parallel processor
In the current paper the original interpretation of cognitive process as the totality of clustering tasks, classification and the search of associations was illustrated, as well as it was given the definition of these notions. The similarity of computation graphs for general solution schemes allows to speak about the opportunity of making an unified methodology of building intelligence application systems. The article includes the description of a given original methodology. The architecture of computational system core on the basis of vector processor was examined, it was given the description of data format, tasks system format, and also the general principals of processor functionality. The realization of computing system on the basis of GPU was examined in the paper.
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