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ICDE
2009
IEEE

Parallel Skyline Computation on Multicore Architectures

10 years 9 months ago
Parallel Skyline Computation on Multicore Architectures
With the advent of multicore processors, it has become imperative to write parallel programs if one wishes to exploit the next generation of processors. This paper deals with skyline computation as a case study of parallelizing database operations on multicore architectures. We compare two parallel skyline algorithms: a parallel version of the branch-and-bound algorithm (BBS) and a new parallel algorithm based on skeletal parallel programming. Experimental results show despite its simple design, the new parallel algorithm is comparable to parallel BBS in speed. For sequential skyline computation, the new algorithm far outperforms sequential BBS when the density of skyline tuples is low.
Sungwoo Park, Taekyung Kim, Jonghyun Park, Jinha K
Added 18 Feb 2011
Updated 18 Feb 2011
Type Journal
Year 2009
Where ICDE
Authors Sungwoo Park, Taekyung Kim, Jonghyun Park, Jinha Kim, Hyeonseung Im
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