GridGraph: Large-Scale Graph Processing on a Single Machine Using 2-Level Hierarchical Partitioning

By Xiaowei Zhu, Wentao Han, Wenguang Chen. USENIX Annual Technical Conference, 2015

396 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/96f927ca20b614b3387b1187258e9a6877dbee53

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Rong Chen
2. Haibing Guan
3. Jiaxin Shi
4. Haibo Chen
5. Yanzhe Chen
6. Binyu Zang

Citations in the corpus

• Gemini: A Computation-Centric Distributed Graph Processing System (2016, unknown): “On the other hand, while existing distributed solutions can scale graph processing to larger magnitudes than their sharedmemory counterparts, their performance and cost efficiencies are often unsatisfactory [33, 59, 60].”
• PowerLyra: Differentiated Graph Computation and Partitioning on Skewed Graphs (2019, background): “Single-machine graph processing systems: There are also several efforts aiming at leveraging multicore platforms for graph processing [39, 46, 53, 57, 65, 66, 92, 101] which focus on such issues as improving out-of-core accesses [39], selecting appropriate execution modes [65], supporting a sophisti”