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LCT: Losslessly Compressed Tensors with GPU friendly execution for Training

Max Zhu et al.
arXiv CS · Papers
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deep-learningmachine-learningneural-networks
Lossless tensor compression could reduce memory usage during training, but training requires tensors to be repeatedly re-encoded. We introduce Losslessly Compressed Tensors (LCT), a GPU execution framework designed for this repeated encode-decode regime. LCT exploits the natural redundancy in floati
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