Scalable complex graph analysis with the knowledge discovery toolbox

The Knowledge Discovery Toolbox (KDT) enables domain experts to perform complex analyses of huge datasets on supercomputers using a high-level language without grappling with the difficulties of writing parallel code, calling parallel libraries, or becoming a graph expert. KDT delivers competitive p...

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Bibliographische Detailangaben
Hauptverfasser: Lugowski, A., Buluc, A., Gilbert, J. R., Reinhardt, S.
Format: Tagungsbericht
Sprache:eng
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Beschreibung
Zusammenfassung:The Knowledge Discovery Toolbox (KDT) enables domain experts to perform complex analyses of huge datasets on supercomputers using a high-level language without grappling with the difficulties of writing parallel code, calling parallel libraries, or becoming a graph expert. KDT delivers competitive performance from a general-purpose, reusable library for graphs on the order of 10 billion edges and greater. We describe our approach for supporting arbirary vertex and edge attributes, in-place graph filtering, and graph traversal using pre-defined access patterns.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2012.6289128