HetGraph: A High Performance CPU-CGRA Architecture for Matrix-based Graph Analytics.
Long TanMingyu YanXiaochun YeDongrui FanPublished in: ACM Great Lakes Symposium on VLSI (2022)
Keyphrases
- real time
- adjacency matrix
- graph theory
- parallel computers
- graph structure
- learning analytics
- similarity matrix
- random walk
- management system
- data analysis
- low rank and sparse
- pc cluster
- directed acyclic graph
- linear algebra
- level parallelism
- graph representation
- graph model
- big data
- directed graph
- singular value decomposition
- cloud computing
- graph matching
- eigenvalues and eigenvectors
- graph clustering
- computation intensive
- business intelligence
- transition matrix
- case study
- key performance indicators
- memory hierarchy
- matrix representation
- parallel algorithm
- covariance matrix
- connected components
- graph theoretic