用于智能成像的可扩展VLIW

A. Lundgren, W. Kruijtzer
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引用次数: 0

摘要

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。
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A scalable VLIW for smart imaging
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.
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