一种用于邻域图像处理的可编程、最大吞吐量架构

2006 14th Annual IEEE Symposium on Field-Programmable Custom Computing Machines Pub Date : 2006-04-24 DOI:10.1109/FCCM.2006.13

R. Porter, J. Frigo, M. Gokhale, C. Wolinski, François Charot, Charles Wagner

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引用次数: 3

摘要

提出了一种运行时可重构的局部邻域图像处理体系结构。讨论新体系结构如何为开发人员提供改进的灵活性。作者表明，对于卫星图像特征提取应用，我们的架构在Stratix II和Virtex 2现场可编程门阵列上实现，达到了与完全流水线收缩阵列架构相似的性能、硬件资源利用率和吞吐量

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A Programmable, Maximal Throughput Architecture for Neighborhood Image Processing

The authors propose a run-time re-configurable architecture for local neighborhood image processing. Discussion of how the new architecture can offer improved flexibility to the developer. The authors show that for a satellite image feature extraction application, our architecture, implemented on Stratix II and Virtex 2 field programmable gate arrays, achieves similar performance, hardware resource utilization, and throughput as fully pipelined systolic array architecture

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2006 14th Annual IEEE Symposium on Field-Programmable Custom Computing Machines

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