most citedCommunication-reduced Conjugate Gradient Variants for GPU-accelerated Clusters

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cs.DC2025

On the energy efficiency of sparse matrix computations on multi-GPU clusters

Massimo Bernaschi, Alessandro Celestini, Pasqua D'Ambra +1

We investigate the energy efficiency of a library designed for parallel computations with sparse matrices. The library leverages high-performance, energy-efficient Graphics Process…