원문정보
국제문화기술진흥원
International Journal of Advanced Culture Technology(IJACT)
Volume 4 Number 4
2016.12
pp.57-63
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In this paper, we propose the optimized binarization in the GP-GPU. Because the binarinztion is esily paralledlized, we propose two ways of binary operations that utilize GP-GPU. The first method was to divide data load, subtraction and conversion, data store. The second method was processed collectibely. The second method was 2.52 times faster than the first method. After synthesizing the GP-GPU to the FPGA, the GP-GPU on the binarization were compared with the binarization on the ODROID XU. The binarization on the GP-GPU was 1.89 times faster than the binarization on the ODROID XU.
목차
Abstract
1. Introduction
2. Binarization
2.1 YUV 4:2:0 planar format
2.2 Binarization
3. Binarization on GP-GPU
3.1 Memory Structure of GP-GPU
3.2 Parallelization of binarization using GP-GPU
4. Design and Verification of GP-GPU
4.1 Verification of Simulation Design
4.2 FPGA Design Verification
5. Conclusion
References
1. Introduction
2. Binarization
2.1 YUV 4:2:0 planar format
2.2 Binarization
3. Binarization on GP-GPU
3.1 Memory Structure of GP-GPU
3.2 Parallelization of binarization using GP-GPU
4. Design and Verification of GP-GPU
4.1 Verification of Simulation Design
4.2 FPGA Design Verification
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보