Hardware-Enabled Efficient Data Processing With Tensor-Train Decomposition

Zheng Qu,Lei Deng,Bangyan Wang,Hengnu Chen,Jilan Lin,Ling Liang,Guoqi Li,Zheng Zhang,Yuan Xie

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems（2022）

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摘要

In recent years, tensor computation has become a promising tool for solving big data analysis, machine learning, medical image, and EDA problems. To ease the memory and computation intensity of tensor processing, decomposition techniques, especially tensor-train decomposition (TTD), are widely adopted to compress the extremely high-dimensional tensor data. Despite TTD’s potential to break the curs...

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关键词

Tensors,Matrix decomposition,Engines,Symmetric matrices,Jacobian matrices,Approximation algorithms,Hardware

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