## Topics of interest

Topics of interest include, but are not limited to:

- Parallel graph algorithms
- Graph applications:
- graph databases (RDF, etc.)
- social network analysis
- Graph applications and Big Data, machine learning
- Parallel programming models and runtime systems for graph processing:
- Programming models (MPI, Shmem, UPC, etc.) for parallel graph processing
- Parallel graph libraries and frameworks (Boost Parallel Graph Library, Pregel, Neo4j, etc.)

- Performance evaluation of graph algorithms on high performance computing systems
- Graph applications and exascale:
- graph application requirements for exascale architectures
- graph algorithm implementation on novel architectures

- Graph visualization