矢量数据流架构

H. Ahmed
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引用次数: 1

摘要

作者提出了一种基于以下设计理念的向量数据流(VDF)架构:尽可能通过将有序的数据序列分组到称为向量的逻辑结构中来增加数据粒度;根据划分算法将节点分组在一起,形成称为任务的逻辑结构,从而增加节点粒度;并通过设计专用硬件层来支持向量和任务结构的高效执行。介绍了基于该方案的VDF处理器,并给出了仿真结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A vector dataflow architecture
The author presents a vector data-flow (VDF) architecture which is based on the following design philosophy: increasing data granularity, whenever possible, by grouping together ordered sequences of data into logical structures called vectors; increasing node granularity by grouping together nodes, according to a partitioning algorithm, to form logical structures called tasks; and supporting efficient execution of both vector and task structures by designing a dedicated hardware level. The VDF processor based on this scheme is described, and simulation results are presented.<>
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