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arXiv · 1705.04590

Distributed-Memory Breadth-First Search on Massive Graphs

Aydin Buluc·Scott Beamer·Kamesh Madduri·Krste Asanovic·David Patterson
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Abstract

This chapter studies the problem of traversing large graphs using the breadth-first search order on distributed-memory supercomputers. We consider both the traditional level-synchronous top-down algorithm as well as the recently discovered direction optimizing algorithm. We analyze the performance and scalability trade-offs in using different local data structures such as CSR and DCSC, enabling in-node multithreading, and graph decompositions such as 1D and 2D decomposition.

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Aydin Buluc, Scott Beamer, Kamesh Madduri, Krste Asanovic, David Patterson. 2017-05-10. Distributed-Memory Breadth-First Search on Massive Graphs. https://arxiv.org/abs/1705.04590

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