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20172023
most citedAdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks

102 citations · 196 across the 10 of their papers we have counts for

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cs.DS2023★ 5 cited

Stream-K: Work-centric Parallel Decomposition for Dense Matrix-Matrix Multiplication on the GPU

Muhammad Osama, Duane Merrill, Cris Cecka +2

We introduce Stream-K, a work-centric parallelization of matrix multiplication (GEMM) and related computations in dense linear algebra. Whereas contemporary decompositions are prim…