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