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.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0902110-135238 |
| Date | 02 September 2010 |
| Creators | Weng, Hui-Ze |
| Contributors | Chun-I Fan, Chia-Mei Chen, D.J. Guan |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0902110-135238 |
| Rights | off_campus_withheld, Copyright information available at source archive |
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