并行图分析的要点

M. Osama, Serban D. Porumbescu, John Douglas Owens
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引用次数: 8

摘要

我们将图数据结构、边界、运算符、迭代循环结构和收敛条件确定为基于原生图方法的图分析系统的基本组成部分。使用这些基本组件,我们提出了一个抽象,它可以捕获图分析中所有重要的编程模型,例如大块同步、异步、共享内存、消息传递以及推与拉遍历。最后,我们用一个优雅的现代c++实现展示了抽象的强大功能,该实现实现了单源最短路径及其所需的组件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Essentials of Parallel Graph Analytics
We identify the graph data structure, frontiers, operators, an iterative loop structure, and convergence conditions as essential components of graph analytics systems based on the native-graph approach. Using these essential components, we propose an abstraction that captures all the significant programming models within graph analytics, such as bulk-synchronous, asynchronous, shared-memory, message-passing, and push vs. pull traversals. Finally, we demonstrate the power of our abstraction with an elegant modern C++ implementation of single-source shortest path and its required components.
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