Linear Work Generation of R-MAT Graphs
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 9 May 2019.
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Citing papers per year: 2021: 1.
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- 2021SMASH: Sparse Matrix Atomic Scratchpad Hashingcited by 3
- 2021SMASH: Sparse Matrix Atomic Scratchpad Hashing29 May 2021