On Overcoming HPC Challenges of Trillion-Scale Real-World Graph Datasets.
Mohsen Koohi EsfahaniPaolo BoldiHans VandierendonckPeter KilpatrickSebastiano VignaPublished in: BigData (2023)
Keyphrases
- real world
- synthetic datasets
- lessons learned
- scale space
- data sets
- graph structure
- graph data
- key issues
- graph representation
- real world graphs
- small scale
- high performance computing
- pairwise
- directed graph
- graph theory
- graph matching
- graph model
- benchmark datasets
- random walk
- open issues
- case study
- graph partitioning
- graph based algorithm
- fault tolerance
- weighted graph
- structured data
- synthetic data
- distributed systems
- object recognition
- wide range
- data mining
- neural network