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Parallel Processing of Graphs

  • Bin Shao
  • Yatao Li
Chapter
Part of the Data-Centric Systems and Applications book series (DCSA)

Abstract

Graphs play an indispensable role in a wide range of application domains. Graph processing at scale, however, is facing challenges at all levels, ranging from system architectures to programming models. In this chapter, we review the challenges of parallel processing of large graphs, representative graph processing systems, general principles of designing large graph processing systems, and various graph computation paradigms. Graph processing covers a wide range of topics and graphs can be represented in different forms. Different graph representations lead to different computation paradigms and system architectures. From the perspective of graph representation, this chapter also briefly introduces a few alternative forms of graph representation besides adjacency list.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Microsoft Research AsiaBeijingChina

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