A high-level framework for distributed processing of large-scale graphs

  • Authors:
  • Elzbieta Krepska;Thilo Kielmann;Wan Fokkink;Henri Bal

  • Affiliations:
  • VU University Amsterdam;VU University Amsterdam;VU University Amsterdam;VU University Amsterdam

  • Venue:
  • ICDCN'11 Proceedings of the 12th international conference on Distributed computing and networking
  • Year:
  • 2011

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Abstract

Distributed processing of real-world graphs is challenging due to their size and the inherent irregular structure of graph computations. We present HIPG, a distributed framework that facilitates high-level programming of parallel graph algorithms by expressing them as a hierarchy of distributed computations executed independently and managed by the user. HIPG programs are in general short and elegant; they achieve good portability, memory utilization and performance.