Sciweavers

Share
JPDC
2008

A framework for scalable greedy coloring on distributed-memory parallel computers

11 years 1 months ago
A framework for scalable greedy coloring on distributed-memory parallel computers
We present a scalable framework for parallelizing greedy graph coloring algorithms on distributed-memory computers. The framework unifies several existing algorithms and blends a variety of techniques for creating or facilitating concurrency. The latter techniques include exploiting features of the initial data distribution, the use of speculative coloring and randomization, and a BSP-style organization of computation and communication. We experimentally study the performance of several specialized algorithms designed using the framework and implemented using MPI. The experiments are conducted on two different platforms and the test cases include large-size synthetic graphs as well as real graphs drawn from various application areas. Computational results show that implementations that yield good speedup while at the same time using about the same number of colors as a sequential greedy algorithm can be achieved by setting parameters of the framework in accordance with the size and st...
Doruk Bozdag, Assefaw Hadish Gebremedhin, Fredrik
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2008
Where JPDC
Authors Doruk Bozdag, Assefaw Hadish Gebremedhin, Fredrik Manne, Erik G. Boman, Ümit V. Çatalyürek
Comments (0)
books