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GPU 자원을 고려한 CloudSim 클라우드 시뮬레이터 연구 원문보기

  • 저자

    전현욱

  • 학위수여기관

    경상대학교 대학원

  • 학위구분

    국내석사

  • 학과

    정보과학과 정보과학전공

  • 지도교수

  • 발행년도

    2014

  • 총페이지

    V, 32 p.

  • 키워드

    GPU GPGPU Cloud Simulation;

  • 언어

    kor

  • 원문 URL

    http://www.riss.kr/link?id=T13534194&outLink=K  

  • 초록

    GPGPU (General-Purpose computing on Graphics Processing Units) is a general-propose technique for high-performance computing using GPU (Graphics Processing Unit) resources. As NVIDA has released GPU VGX platform for datacenters, GPGPU service is also able to be provided in the cloud. As a result, simulation framework with consideration of GPU resource is necessary in order to conduct GPGPU-based cloud resource research. However, few work has been done on GPGPU cloud service simulating tool. Thus, in this thesis, we extend main engine of CloudSim toolkits and propose a simulation tool for GPGPU cloud services. And, scheduling algorithms are implemented and simulated to show the feasibility of the implementation.


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