可重构计算的数据流编程模型

L. Gantel, Amel Khiar, Benoît Miramond, M. A. Benkhelifa, F. Lemonnier, L. Kessal
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引用次数: 11

摘要

本文研究了图像处理算法在动态可重构体系结构上的实现问题。如今,这些片上系统(SoC)提供了在单个芯片中实现多个异构处理元件的可能性。它意味着几个处理器,几个硬件加速器以及所有这些组件之间的通信媒介。这种平台的应用程序用运行在处理器上的软件线程和运行在硬件分区上的特定硬件加速器来描述。本文重点研究了面向数据流处理中软硬件参与者之间通信管理的复杂问题,并提出了利用这一问题的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dataflow programming model for reconfigurable computing
This paper addresses the problem of image processing algorithms implementation onto dynamically and reconfigurable architectures. Today, these Systems-on-Chip (SoC), offer the possibility to implement several heterogeneous processing elements in a single chip. It means several processors, few hardware accelerators as well as communication mediums between all these components. Applications for this kind of platform are described with software threads, running on processors, and specific hardware accelerators, running on hardware partitions. This paper focuses on the complex problem of communication management between software and hardware actors for dataflow oriented processing, and proposes solutions to leverage this issue.
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