High performance reconfigurable pipelined matrix multiplication module designer

S. Aslan, C. Desmouliers, E. Oruklu, J. Saniie
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引用次数: 2

Abstract

Matrix multiplication operations are heavily used in communication systems, video, signal and image processing applications such as echo cancellation, adaptive beamforming, and Multiple-Input Multiple-Output (MIMO) systems, and are also used in matrix factorizations such as Cholesky, LU, QR and DCT. However, it is challenging to implement a high speed matrix multiplication operator for large matrices due to the fact that the number of multiplication operations grows rapidly with functions of n3. This paper presents the implementation of a reconfigurable pipelined high speed and high precision matrix multiplication module designer for large matrices on Xilinx Virtex-5 and Spartan 3E FPGAs using high speed memory interface for data transfers.
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高性能可重构流水线矩阵乘法模块设计器
矩阵乘法运算大量用于通信系统、视频、信号和图像处理应用,如回波抵消、自适应波束形成和多输入多输出(MIMO)系统,也用于矩阵分解,如Cholesky、LU、QR和DCT。然而,对于大型矩阵,由于乘法运算的数量随着函数n3的增长而迅速增长,因此实现高速矩阵乘法运算是一项挑战。本文介绍了在Xilinx Virtex-5和Spartan 3E fpga上采用高速存储接口进行数据传输的可重构流水线式高速高精度矩阵乘法模块设计器的实现。
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