Introducing the Graph 500
By J. Ang, Brian W. Barrett, Kyle B. Wheeler, R. Murphy. 2010
479 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/b9976fa9b182c9c85593a66801c7c3b3ad3679fd
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Tae Jun Ham
- S. Pal
- Lisa Wu
- Jonathan Beaumont
- Narayanan Sundaram
- Dong-hyeon Park
- Nadathur Rajagopalan Satish
- David T. Blaauw
Citations in the corpus
- GraphMat: High performance graph analytics made productive (2015, methodology): “1 RMAT Scale 20 Synthetic 8,388,608 134,215,380 Pagerank, BFS, Described in Graph500 [23] SSSP Section 5.”
- Navigating the maze of graph analytics frameworks using massive graph datasets (2014, methodology): “We now describe how we use the Graph500 generator to generate both directed graphs and ratings matrices for our applications.”
- OuterSPACE: An Outer Product Based Sparse Matrix Multiplication Accelerator (2018, methodology): “In Figure 6, we compare the performance-scaling of the outer product algorithm on OuterSPACE against the CPU and GPU libraries, using a set of synthetic datasets obtained from the Graph500 R-MAT data generator [46].”
- Graphicionado: A high-performance and energy-efficient accelerator for graph analytics (2016, methodology): “For synthetic graphs, the Graph500 RMAT data generator [1] is used to generate the RMAT graph [10] and a bipartite graph generator described in [43] is used to generate a SB graph which has similar edge distributions with the realworld Netflix graph but at a different scale.”