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20172026
most citedGPU-Acceleration of the ELPA2 Distributed Eigensolver for Dense Symmetric and Hermitian Eigenproblems

51 citations · 104 across the 7 of their papers we have counts for

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cs.DC2018

Computing the sparse matrix vector product using block-based kernels without zero padding on processors with AVX-512 instructions

Berenger Bramas, Pavel Kus

The sparse matrix-vector product (SpMV) is a fundamental operation in many scientific applications from various fields. The High Performance Computing (HPC) community has therefore…