원문정보
보안공학연구지원센터(IJMUE)
International Journal of Multimedia and Ubiquitous Engineering
Vol.9 No.4
2014.04
pp.221-226
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Recent embedded processors become to be multi-cored, due to the increased power consumption by higher operating frequencies. Multi-core processors stimulate applications to be parallelized. Since general purpose CPU has small number of core, which is optimized for serial processing, it has a limitation of parallel processing. To overcome this limitation, GPU is used for the parallel processing. In this paper, we implement GP-GPU of SIMT architecture for parallel processing in the embedded environment. The performance of the implemented GP-GPU is compared with the existing multi-core CPU of the embedded environment. The comparison results show the performance of parallel processing with the implemented GP-GPU is improved significantly.
목차
Abstract
1. Introduction
2. SIMT GP-GPU architecture
2.1. Superscalar instruction issue
2.2. Register file access
3. Experimental results
4. Summary
Acknowledgements
References
1. Introduction
2. SIMT GP-GPU architecture
2.1. Superscalar instruction issue
2.2. Register file access
3. Experimental results
4. Summary
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보