Parallel k-truss decomposition on multicore systems

H. Kabir, Kamesh Madduri
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引用次数: 33

Abstract

We discuss our submission to the HPEC 2017 Static Graph Challenge on k-truss decomposition and triangle counting. Our results use an algorithm called PKT (Parallel k-truss) designed for multicore systems. We are able to process almost all Graph Challenge datasets in under a minute on a 24-core server with 128 GB memory. For a synthetic Graph500 graph with 17 million vertices and 523 million edges, triangle counting takes 16 seconds and truss decomposition takes 29 minutes on the 24-core server.
多核系统的并行k-桁架分解
我们讨论了我们提交给HPEC 2017关于k-桁架分解和三角形计数的静态图挑战。我们的结果使用了一种称为PKT(并行k-桁架)的算法,该算法是为多核系统设计的。我们能够在24核128 GB内存的服务器上在一分钟内处理几乎所有的Graph Challenge数据集。对于一个包含1700万个顶点和5.23亿个边的合成Graph500图,在24核服务器上,三角形计数需要16秒,桁架分解需要29分钟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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