@Inbook{ParallelProcessingOfGraphs,
author="Shao, Bin
and Li, Yatao",
editor="Fletcher, George
and Hidders, Jan
and Larriba-Pey, Josep Llu{\'i}s",
title="Parallel Processing of Graphs",
bookTitle="Graph Data Management: Fundamental Issues and Recent Developments",
year="2018",
publisher="Springer International Publishing",
address="Cham",
pages="143--162",
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.",
isbn="978-3-319-96193-4",
doi="10.1007/978-3-319-96193-4_5",
url="https://doi.org/10.1007/978-3-319-96193-4_5"
}