A DRL agent learns bit-interleaving patterns for sparse tensor storage, delivering 1.4 to 1.46x geometric-mean speedups for tensor decomposition over expert formats.
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ReLATE: Learning Efficient Sparse Encoding for High-Performance Tensor Decomposition
A DRL agent learns bit-interleaving patterns for sparse tensor storage, delivering 1.4 to 1.46x geometric-mean speedups for tensor decomposition over expert formats.