A scalable VLIW for smart imaging

A. Lundgren, W. Kruijtzer
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Abstract

This work presents a VLIW co-processor template for smart imaging. The template is highly scalable and can easily be instantiated for a specific data level parallelism. The co-processor is built to operate on frame segments instead of full frames only. As a result, eight different instances of the co-processor have been generated, each with different amount of parallelism exploited. Each instance is generated in about 30 minutes using C-based high-level synthesis tools. The generated co-processors have been evaluated and the result shows that the template can be effectively used to balance the area, performance and power consumption with respect to the application requirements.
用于智能成像的可扩展VLIW
本文提出了一种用于智能成像的VLIW协处理器模板。模板是高度可伸缩的,并且可以很容易地为特定的数据级并行性实例化。协处理器被构建为在帧段上操作,而不是只在全帧上操作。结果,生成了8个不同的协处理器实例,每个实例都利用了不同数量的并行性。使用基于c的高级合成工具在大约30分钟内生成每个实例。对生成的协处理器进行了评估,结果表明该模板可以有效地用于平衡与应用需求相关的面积、性能和功耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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