Isorropia is a package for combinatorial scientific computing, with focus on partitioning and load balancing, but also supports coloring and ordering of sparse matrices. Its main purpose is to assist with redistributing objects such as matrices and graphs in a parallel execution setting, to allow for more efficient computations. Isorropia partitions matrices by rows, and produces good maps for Epetra matrices (graphs). Isorropia should be called after the matrix (graph) is filled, so the sparsity pattern is known.

Keywords for this software

Anything in here will be replaced on browsers that support the canvas element

References in zbMATH (referenced in 1 article )

Showing result 1 of 1.
Sorted by year (citations)

  1. Kalantzis, Vassilis; Li, Ruipeng; Saad, Yousef: Spectral Schur complement techniques for symmetric eigenvalue problems (2016)