BibSonomy :: publication :: Parallel approximation algorithms for facility-location problems
URLDOITeX

Parallel approximation algorithms for facility-location problems

Guy E. Blelloch, and Kanat Tangwongsan. Proceedings of the 22nd ACM symposium on Parallelism in algorithms and architectures, page 315--324. New York, NY, USA, ACM, (2010)

Abstract

This paper presents the design and analysis of parallel approximation algorithms for facility-location problems, including <b>NC</b> and <b>RNC</b> algorithms for (metric) facility location, <i>k</i>-center, <i>k</i>-median, and <i>k</i>-means. These problems have received considerable attention during the past decades from the approximation algorithms community, which primarily concentrates on improving the approximation guarantees. In this paper, we ask: <i>Is it possible to parallelize some of the beautiful results from the sequential setting?</i>.</p> <p>Our starting point is a small, but diverse, subset of results in approximation algorithms for facility-location problems, with a primary goal of developing techniques for devising their efficient parallel counterparts. We focus on giving algorithms with low depth, near work efficiency (compared to the sequential versions), and low cache complexity.

Links and resources

DOI:10.1145/1810479.1810535
BibTeX key:Blelloch:2010:PAA:1810479.1810535
internal link:
?
You can use this internal link to create references to this post in your discussions. Just copy this internal link and paste it in your discussion text.
search on:

Comments or reviews  
(0)

There is no review or comment yet. You can write one!

Tags

  • Last update a year and 2 months ago
  • Created a year and 2 months ago

Cite this publication

Parallel approximation algorithms for facility-location problems

Guy E. Blelloch, and Kanat Tangwongsan. Proceedings of the 22nd ACM symposium on Parallelism in algorithms and architectures, page 315--324. New York, NY, USA, ACM, (2010)