Efficient Processing of Sparse Tensor Decomposition via Unified Abstraction and PE-Interactive Architecture

IEEE Transactions on Computers(2022)

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摘要
We propose a novel architecture to efficiently perform sparse tensor decomposition/completion. As the generalization of vectors and matrices, tensors are widely used to process high-dimensional data. Sparse tensor decomposition (SpTD) is not only an emerging tensor analysis technique but also an effective tool to reduce the storage and computation costs of tensors. However, conventional general-pu...
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关键词
Tensors,Kernel,Bandwidth,Approximation algorithms,Sparse matrices,Graphics processing units,Memory management
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