NDLI: Distributed-Memory Parallel Algorithms for Distance-2 Coloring and Related Problems in Derivative Computation

Content Provider	Society for Industrial and Applied Mathematics (SIAM)
Author	zgner, Fsun Gebremedhin, Assefaw H. atalyrek, mi˙t V. Manne, Fredrik Boman, Erik G. Bozda, Doruk
Copyright Year	2010
Abstract	The distance-2 graph coloring problem aims at partitioning the vertex set of a graph into the fewest sets consisting of vertices pairwise at distance greater than 2 from each other. Its applications include derivative computation in numerical optimization and channel assignment in radio networks. We present efficient, distributed-memory, parallel heuristic algorithms for this NP-hard problem as well as for two related problems used in the computation of Jacobians and Hessians. Parallel speedup is achieved through graph partitioning, speculative (iterative) coloring, and a bulk synchronous parallellike organization of parallel computation. Results from experiments conducted on a PC cluster employing up to 96 processors and using large-size real-world as well as synthetically generated test graphs show that the algorithms are scalable. In terms of quality of solution, the algorithms perform remarkably wellthe numbers of colors used by the parallel algorithms are observed to be very close to the numbers used by their sequential counterparts, which in turn are quite often near optimal. Moreover, the experimental results show that the parallel distance-2 coloring algorithm compares favorably with the alternative approach of solving the distance-2 coloring problem on a graph $\mathcal{G}$ by first constructing the square graph $\mathcal{G}^2$ and then applying a parallel distance-1 coloring algorithm on $\mathcal{G}^2$. Implementations of the algorithms are made available via the Zoltan toolkit.
Starting Page	2418
Ending Page	2446
Page Count	29
File Format	PDF
ISSN	10648275
DOI	10.1137/080732158
e-ISSN	10957197
Issue Number	4
Volume Number	32
Language	English
Publisher	Society for Industrial and Applied Mathematics
Publisher Date	2010-08-05
Access Restriction	Subscribed
Subject Keyword	Hessian computation distance-2 graph coloring combinatorial scientific computing automatic differentiation sparsity exploitation distributed-memory parallel algorithms Graph theory Graph algorithms Parallel algorithms Coloring of graphs and hypergraphs Jacobian computation
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Computational Mathematics

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