Comparison Of Hybrid Sorting Algorithms Implemented On Different Parallel Hardware Platforms

Sorting is a common problem in computer science. There are lot of well-known sorting algorithms created for sequential execution on a single processor. Recently, hardware platforms enable to create wide parallel algorithms. We have standard processors consist of multiple cores and hardware accelerat...

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Bibliographic Details
Main Authors: Dominik Zurek, Marcin Pietron, Maciej Wielgosz, Kazimierz Wiatr
Format: Article
Language:English
Published: AGH University of Science and Technology Press 2013-01-01
Series:Computer Science
Subjects:
Online Access:http://journals.agh.edu.pl/csci/article/download/576/748
Description
Summary:Sorting is a common problem in computer science. There are lot of well-known sorting algorithms created for sequential execution on a single processor. Recently, hardware platforms enable to create wide parallel algorithms. We have standard processors consist of multiple cores and hardware accelerators like GPU. The graphic cards with their parallel architecture give new possibility to speed up many algorithms. In this paper we describe results of implementation of a few different sorting algorithms on GPU cards and multicore processors. Then hybrid algorithm will be presented which consists of parts executed on both platforms, standard CPU and GPU.
ISSN:1508-2806