Linear Work Generation of R-MAT Graphs
Lorenz Hübschle-Schneider and Peter Sanders
- Date: May 2019
R-MAT is a simple, widely used recursive model for generating `complex network' graphs with a power law degree distribution and community structure. We make R-MAT even more useful by reducing the required work per edge from logarithmic to constant. The algorithm works in an embarrassingly parallel way.