sponsored byACMIEEE The International Conference for High Performance 
Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 15-20, 2015

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A Work-Efficient Algorithm for Parallel Unordered Depth-First Search

SESSION: Graph Algorithms and Benchmarks


EVENT TAG(S): Performance, Graphs, Data-Intensive Computing, Algorithms

TIME: 1:30PM - 2:00PM

SESSION CHAIR(S): Umit Catalyurek

AUTHOR(S):Umut Acar, Arthur Chargueraud, Mike Rainey



With the increasing processing power of multicore computers, parallel graph search using shared memory machines has become increasingly feasible and important. There has been a lot of progress on parallel breadth-first search, but less attention has been given to algorithms for unordered or loosely ordered traversals. We present a parallel algorithm for unordered depth-first-search on graphs. We prove that the algorithm is work-efficient in a realistic, implementation-ready algorithmic model that includes important scheduling costs. This work-efficiency result applies to all graphs, including those with high diameter and high out-degree. The key components of this result include a new data structure and a new amortization technique for controlling excess parallelism. We present an implementation and experiments that show that the algorithm performs well on a range of graphs and can lead to significant improvements over comparable algorithms.

Chair/Author Details:

Umit Catalyurek (Chair) - Ohio State University|

Umut Acar - Carnegie Mellon University

Arthur Chargueraud - French Institute for Research in Computer Science and Automation

Mike Rainey - French Institute for Research in Computer Science and Automation

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Paper provided by the ACM Digital Library

Paper also available from IEEE Computer Society