Assessment of FPGA Implementations of One Sided Jacobi Algorithm for Singular Value Decomposition

被引：10

作者：

Ibrahim, Ali ^{[1
]}

Valle, Maurizio ^{[1
]}

Noli, Luca ^{[1
]}

Chible, Hussein ^{[2
]}

机构：

[1] Univ Genoa, DITEN, COSM Lab, Genoa, Italy

[2] Lebanese Univ, Microelect Res Lab, Beirut, Lebanon

来源：

2015 IEEE COMPUTER SOCIETY ANNUAL SYMPOSIUM ON VLSI | 2015年

关键词：

FPGA implementations; Singular value decomposition; one sided Jacobi algorithm; Cordic method; Tactile data processing;

D O I：

10.1109/ISVLSI.2015.63

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Nowadays many application domains require an embedded electronic system for tactile data processing. Our research aims to implement a real time embedded electronic system based on tensorial kernel approach for tactile data processing. Singular value decomposition represents the more computational expensive algorithm for the tensorial kernel approach. This paper presents an assessment of FPGA implementations of one sided Jacobi algorithm for singular value decomposition. Designs are implemented to handle an arbitrary mxn matrix with fixed point arithmetic. The results figure out an efficient implementation suitable for real time embedded applications.

引用

页码：56 / 61

页数：6

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