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cs.DC2020
Distributing Sparse Matrix/Graph Applications in Heterogeneous Clusters -- an Experimental Study
Charilaos Tzovas, Maria Predari, Henning Meyerhenke
Many problems in scientific and engineering applications contain sparse matrices or graphs as main input objects, e.g. numerical simulations on meshes. Large inputs are abundant th…
cs.DS2020
Approximation of the Diagonal of a Laplacian's Pseudoinverse for Complex Network Analysis
Eugenio Angriman, Maria Predari, Alexander van der Grinten +1
The ubiquity of massive graph data sets in numerous applications requires fast algorithms for extracting knowledge from these data. We are motivated here by three electrical measur…