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초록
The graphic processor unit (GPU) has been developed to process not only graphic data but also general system data. It shows a better performance than CPU in algorithm for 3D graphics and parallel program. In order to execute algorithm for CPU on GPU, we should understand about GPU architectures and rewrite program considering parallel processing capability and new memory model of GPU. For this reasons, a performance prediction model for the algorithm and its predicted performance through GPU system are required. These can predict problems in GPU application development or construct a performance evaluation standard for GPU. In this paper, we applied the AES encryption algorithms on our performance model and accomplished performance prediction with high accuracy under a heavy workload.
키워드
- 제목
- GPU 아키텍처의 AES 암호화 성능 예측 분석 모델
- 제목 (타언어)
- An Analytical Model for Performance Prediction of AES on GPU Architecture
- 저자
- 김규운; 김현우; 김희정; 허태영; 정상혁; 송용호
- 발행일
- 2013-04
- 저널명
- 전자공학회논문지
- 권
- 50
- 호
- 4
- 페이지
- 89 ~ 96