Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights
Proceedings of the IEEE（2021）
Key words
Tensors,Computational modeling,Hardware acceleration,Data models,Analytical models,Shape,Quantization (signal),Compact models,compiler optimizations,dataflow,deep learning,deep neural networks (DNNs),dimension reduction,energy efficiency,hardware,software,model codesign,machine learning (ML),pruning,quantization,reconfigurable computing,sparsity,spatial architecture,tensor decomposition,VLSI
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