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

摘要

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.