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High-Throughput FPGA Implementation of QR Decomposition

机译:QR分解的高通量FPGA实现

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This brief presents a hardware design to achieve high-throughput QR decomposition, using the Givens rotation method. It utilizes a new 2-D systolic array architecture with pipelined processing elements, which are based on the COordinate Rotation DIgital Computer (CORDIC) algorithm. CORDIC computes vector rotations through shifts and additions. This approach allows a continuous computation of QR factorizations with simple hardware. A fixed-point field-programmable gate array (FPGA) architecture for 4 4 matrices has been optimized by balancing the number of CORDIC iterations with the final error. As a result, compared with other previous proposals for FPGA, our design achieves at least 50% more throughput, as well as much less resource utilization.
机译:本简介介绍了一种使用Givens旋转方法实现高通量QR分解的硬件设计。它利用具有流水线处理元素的新型2-D脉动阵列结构,该结构基于坐标旋转数字计算机(CORDIC)算法。 CORDIC通过移位和加法计算向量旋转。这种方法允许使用简单的硬件连续计算QR因式分解。通过平衡CORDIC迭代次数与最终误差,优化了4 4个矩阵的定点现场可编程门阵列(FPGA)体系结构。结果,与之前针对FPGA的其他建议相比,我们的设计实现了至少50%的吞吐量提高,以及更少的资源利用率。

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