HASTE proposes group-shared fixed fan-in sparsity and dense-sparse output decomposition to deliver up to 25x backward speedup and near-dense precision in large-scale XMC.
arXiv preprint arXiv:2402.00025 , year=
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HASTE: Hardware-Aware Dynamic Sparse Training for Large Output Spaces
HASTE proposes group-shared fixed fan-in sparsity and dense-sparse output decomposition to deliver up to 25x backward speedup and near-dense precision in large-scale XMC.