Abstract: We consider the distributed memory parallel multiplication of a sparse matrix by a dense matrix (SpMM). The dense matrix is often a collection of dense vectors. Standard implementations will ...
Abstract: Structured sparsity has been proposed as an efficient way to prune the complexity of Machine Learning (ML) applications and to simplify the handling of sparse data in hardware. Accelerating ...
general m,n modified Rutherford equation analysis w. cross-field transport stabilisation rotational shear decorrelation timescales multiple-code 𝚫’ values for robustness multi-CPU parallelization ...
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