Deriving Streaming Graph Algorithms from Static Definitions

Increasing volumes of data and the desire for realtime query capability make the development of efficient streaming algorithms for data analytics valuable. Streaming graph algorithms that avoid unnecessary recomputation through clever application of data dependency analysis are often more complex to...

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Veröffentlicht in:	2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) S. 637 - 642
Hauptverfasser:	Ediger, David, Fairbanks, James P.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.05.2017
Schlagworte:	Algorithm design and analysis Computational modeling Database languages graph algorithm building blocks (GABB) Graph analysis GraphBLAS Linear algebra Mathematical model Measurement Optimization streaming graphs triangle counting
Online-Zugang:	Volltext
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