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Efficient Workload Distribution of Photomosaic Using OpenCL into a Heterogeneous Computing Environment

이기종 컴퓨팅 환경에서 OpenCL을 사용한 포토모자이크 응용의 효율적인 작업부하 분배

  • 김희곤 (고려대학교 컴퓨터정보학과) ;
  • 사재원 (고려대학교 컴퓨터정보학과) ;
  • 최동휘 (고려대학교 컴퓨터정보학과) ;
  • 김혜련 (고려대학교 컴퓨터정보학과) ;
  • 이성주 (고려대학교 컴퓨터정보학과) ;
  • 정용화 (고려대학교 컴퓨터정보학과) ;
  • 박대희 (고려대학교 컴퓨터정보학과)
  • Received : 2015.04.28
  • Accepted : 2015.06.26
  • Published : 2015.08.31

Abstract

Recently, parallel processing methods with accelerator have been introduced into a high performance computing and a mobile computing. The photomosaic application can be parallelized by using inherent data parallelism and accelerator. In this paper, we propose a way to distribute the workload of the photomosaic application into a CPU and GPU heterogeneous computing environment. That is, the photomosaic application is parallelized using both CPU and GPU resource with the asynchronous mode of OpenCL, and then the optimal workload distribution rate is estimated by measuring the execution time with CPU-only and GPU-only distribution rates. The proposed approach is simple but very effective, and can be applied to parallelize other applications on a CPU and GPU heterogeneous computing environment. Based on the experimental results, we confirm that the performance is improved by 141% into a heterogeneous computing environment with the optimal workload distribution compared with using GPU-only method.

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