An Experimental Study of Parallel Biconnected Components Algorithms on Symmetric Multiprocessors (SMPs)

We present an experimental study of parallel biconnected components algorithms employing several fundamental parallel primitives, e.g., prefix sum, list ranking, sorting, connectivity, spanning tree, and tree computations. Previous experimental studies of these primitives demonstrate reasonable parallel speedups. However, when these algorithms are used as subroutines to solve higher-level problems, there are two factors that hinder fast parallel implementations. One is parallel overhead, i.e., the large hidden constant factors buried in the asymptotic notations; the other is the discrepancy among the data structures used in the primitives that brings non-negligible conversion cost. We present various optimization techniques and a new parallel algorithm that significantly improve the performance of finding biconnected components of a graph on symmetric multiprocessors (SMPs). Finding biconnected components has application in fault-tolerant network design, and is also used in graph p...

• Type: Conference
• Year: 2005
• Where: IPPS
• Authors: Guojing Cong, David A. Bader
• Keywords: Distributed And Parallel Computing, Fundamental Parallel Primitives, IPPS 2005, Parallel Biconnected Components, Parallel Implementation