COIN: Communication-Aware In-Memory Acceleration for Graph Convolutional Networks.
Sumit K. MandalGokul KrishnanA. Alper GoksoyGopikrishnan Ravindran NairYu CaoÜmit Y. OgrasPublished in: CoRR (2022)
Keyphrases
- computer networks
- average degree
- graph representation
- directed edges
- highly connected
- network structure
- deep learning
- high bandwidth
- memory requirements
- directed acyclic graph
- edge weights
- fully connected
- community discovery
- social networks
- overlapping communities
- social graphs
- graph theoretic
- packet switched
- information sharing
- communication networks
- graph structure
- graph theory
- graph matching
- small world
- connected components
- complex networks
- social network analysis
- network size
- graph structures
- interprocess communication
- random walk
- graph mining
- wireless sensor networks
- structured data
- densely connected
- community detection
- citation networks
- network infrastructure
- state information
- dynamic networks
- directed graph
- biological networks
- network analysis
- spanning tree
- network architecture
- graph model