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Parallel Breadth-First Search on Distributed Memory Systems
SESSION: Applications
EVENT TYPE: Paper
TIME: 2:30PM - 3:00PM
AUTHOR(S):Aydin Buluc, Kamesh Madduri
ROOM:TCC 305
ABSTRACT: We explore the design space of parallel algorithms for Breadth-First Search (BFS), a key subroutine in several graph algorithms. We present two highly-tuned parallel approaches for BFS on large parallel systems: a level-synchronous strategy that relies on a simple vertex-based partitioning of the graph, and a two-dimensional sparse matrix-partitioning-based approach that mitigates parallel communication overhead. For both approaches, we also present hybrid versions with intra-node multithreading. Our novel hybrid two-dimensional algorithm reduces communication times by up to 3.5X, relative to a common vertex based approach. Our experimental study identifies execution regimes in which these approaches will be competitive, and we demonstrate extremely high performance on leading distributed-memory parallel systems. For instance, for a 40,000-core parallel execution on Hopper, we achieve a BFS performance rate of 17.8 billion edge visits per second on an undirected graph of 4.3 billion vertices and 68.7 billion edges with skewed degree distribution.
Chair/Author Details:
Aydin Buluc - Lawrence Berkeley National Laboratory
Kamesh Madduri - Lawrence Berkeley National Laboratory
