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Performance Analysis of Graph Algorithms using Graphics Processing Units

The GPU significantly improves the computing power by increasing the number of cores in recent years.
The design principle of GPU focuses on the parallism of data processing.
Therefore, there is some limitation of GPU application for the better computing power.
For example, the processing of highly dependent data could not be well-paralleled.
Consequently, it could not take the advantage of the computing power improved by GPU.
Most of researches in GPU have discussed the improvement of computing power.
Therefore, we try to study the cost effectiveness by the comparison between GPU and Multi-Core CPU.
By well-applying the different hardware architectures of GPU and Multi-Core CPU,
we implement some typical algorithms, respectively, and show the experimental result.
Furthermore, the analysis of cost effectiveness, including time and money spending, is also well discussed in this paper.

Identiferoai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0902110-135238
Date02 September 2010
CreatorsWeng, Hui-Ze
ContributorsChun-I Fan, Chia-Mei Chen, D.J. Guan
PublisherNSYSU
Source SetsNSYSU Electronic Thesis and Dissertation Archive
LanguageCholon
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0902110-135238
Rightsoff_campus_withheld, Copyright information available at source archive

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