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A Low-Latency Pipelined 2D and 3D CORDIC Processors

机译:低延迟流水线2D和3D CORDIC处理器

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The unfolded and pipelined CORDIC is a high-performance hardware element that produces a wide variety of one and two argument functions with high throughput. The reduction in delay, power, and area (cost) are of significant interest regarding this module due to its high demand for resources. The linear approximation to rotation has been proposed to achieve such reductions. However, the schemes for rotation (multiplication) and vectoring (division) complicate the implementation in a single unit. In this work, we improve the linear approximation scheme, leading to a unified implementation for rotation and vectoring, where fully parallel tree multipliers are used instead of the second half of CORDIC iterations. We also combine the linear approximation to rotation with the scale factor compensation so that the compensation is concurrently performed with the rotation process. We then extend the method to 3D CORDIC. Such an extension is not straightforward due to the lack of existing analytical expressions for the convergence of the algorithm. A comparison, using a rough area-time model and synthesis results, shows that our proposals may achieve significant reductions in delay, with no increase in area, in actual implementations.
机译:展开和流水线式的CORDIC是一种高性能的硬件元素,可产生大量具有高吞吐量的一个和两个自变量函数。由于该模块对资源的高需求,因此减少延迟,降低功耗和减小面积(成本)引起了人们的极大兴趣。已经提出旋转的线性近似以实现这种减小。但是,用于旋转(乘法)和矢量化(除法)的方案使单个单元中的实现复杂化。在这项工作中,我们改进了线性逼近方案,从而实现了旋转和矢量的统一实现,其中使用完全并行的树乘法器代替了CORDIC迭代的后半部分。我们还将旋转的线性近似与比例因子补偿相结合,以便在旋转过程中同时执行补偿。然后,我们将该方法扩展到3D CORDIC。由于缺乏用于算法收敛的现有分析表达式,因此这种扩展并不简单。使用粗略的时空模型和综合结果进行的比较表明,我们的建议在实际实现中可以实现延迟的显着减少,而面积不会增加。

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