A High-performance Framework for Analyzing Massive Complex Networks

A High-performance Framework for Analyzing Massive Complex Networks

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Graphs are a fundamental and widely-used abstraction for representing data. We can analytically study interesting aspects of real-world complex systems such as the Internet, social systems, transportation networks, and biological interaction data by modeling them as graphs. Graph-theoretic and combinatorial problems are also pervasive in scientific computing and engineering applications. In this dissertation, we address the problem of analyzing large-scale complex networks that represent interactions between hundreds of thousands to billions of entities. We present SNAP, a new high-performance computational framework for efficiently processing graph-theoretic queries on massive datasets.We report performance results on the Sun Fire T2000 multi-core server, with the Sun UltraSPARC T1 (Niagara) processor. This system has eight ... Experimentally verified protein-protein interactions obtained from manual curation of literature.

Title:A High-performance Framework for Analyzing Massive Complex Networks
Publisher:ProQuest - 2008

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