A High-Level Framework for Distributed Processing of Large-Scale Graphs

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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.

Elzbieta Krepska, Thilo Kielmann, Wan Fokkink, Hen

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Distributed And Parallel Computing | ICDCN 2011 | Irregular Structure | Memory Utilization | Parallel Graph Algorithms |

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Added	29 Aug 2011
Updated	29 Aug 2011
Type	Journal
Year	2011
Where	ICDCN
Authors	Elzbieta Krepska, Thilo Kielmann, Wan Fokkink, Henri E. Bal

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A High-Level Framework for Distributed Processing of Large-Scale Graphs

Distributed And Parallel Computing | ICDCN 2011 | Irregular Structure | Memory Utilization | Parallel Graph Algorithms |

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