RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      KCI등재

      ePRO-OMP: OpenMP 응용 프로그램의 성능 및 에너지 분석 도구 = ePRO-OMP: A Tool for Performance/Energy PRofiler and Analyzer for OpenMP Applications

      한글로보기

      https://www.riss.kr/link?id=A101011937

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract)

      As chip multiprocessors have been widely adopted in embedded systems, achieving both high performance and low power consumptions of parallel applications becomes challenging. In order to meet these requirements, it is crucial for developers to analyze the performance and energy consumption of parallel applications. In this paper, we propose a tool for profiling and optimizing the performance and energy consumption of OpenMP applications (energy PROfiler and analyzer for OpenMP: ePRO-OMP). The main advantage of ePRO-OMP is that it can analyze both the performance and energy consumption of each parallel region of an OpenMP application, which can help developers find the bottleneck of parallel applications in detail.
      번역하기

      As chip multiprocessors have been widely adopted in embedded systems, achieving both high performance and low power consumptions of parallel applications becomes challenging. In order to meet these requirements, it is crucial for developers to analyze...

      As chip multiprocessors have been widely adopted in embedded systems, achieving both high performance and low power consumptions of parallel applications becomes challenging. In order to meet these requirements, it is crucial for developers to analyze the performance and energy consumption of parallel applications. In this paper, we propose a tool for profiling and optimizing the performance and energy consumption of OpenMP applications (energy PROfiler and analyzer for OpenMP: ePRO-OMP). The main advantage of ePRO-OMP is that it can analyze both the performance and energy consumption of each parallel region of an OpenMP application, which can help developers find the bottleneck of parallel applications in detail.

      더보기

      참고문헌 (Reference)

      1 이영호, "하드웨어 성능 카운터를 활용한 Open MP 응용 프로그램의 성능/전력 분석 및 최적화" 2010

      2 R. Kufrin, "perfsuite: An Accessible, Open Source Performance Analysis Environment for Linux" 2005

      3 W. Baek, "ePRO: A tool for energy and performance profiler for embedded applications" 372-375, 2004

      4 W. Choi, "ePRO-MP: A tool for profiling and optimizing energy and performance of mobile multiprocessor applications" Scientific Programming 2009

      5 M. Pettersson, "Perfctr: Linux Performance Monitoring Counters Driver" Computing Science Department, Uppsala University 2005

      6 R. Chandra, "Parallel Programming in OpenMP" Morgan Kaufmann 2001

      7 H. Blume, "OpenMP-based parallelization on an MPCore multiprocessor platform - A performance and power analysis" 2008

      8 Novillo,D, "OpenMP and automatic parallelization in GCC" 2006

      9 "NAS Parallel Benchmarks"

      10 D. Shin, "Energy-monitoring tool for low-power embedded programs" 19 (19): 7-17, 2002

      1 이영호, "하드웨어 성능 카운터를 활용한 Open MP 응용 프로그램의 성능/전력 분석 및 최적화" 2010

      2 R. Kufrin, "perfsuite: An Accessible, Open Source Performance Analysis Environment for Linux" 2005

      3 W. Baek, "ePRO: A tool for energy and performance profiler for embedded applications" 372-375, 2004

      4 W. Choi, "ePRO-MP: A tool for profiling and optimizing energy and performance of mobile multiprocessor applications" Scientific Programming 2009

      5 M. Pettersson, "Perfctr: Linux Performance Monitoring Counters Driver" Computing Science Department, Uppsala University 2005

      6 R. Chandra, "Parallel Programming in OpenMP" Morgan Kaufmann 2001

      7 H. Blume, "OpenMP-based parallelization on an MPCore multiprocessor platform - A performance and power analysis" 2008

      8 Novillo,D, "OpenMP and automatic parallelization in GCC" 2006

      9 "NAS Parallel Benchmarks"

      10 D. Shin, "Energy-monitoring tool for low-power embedded programs" 19 (19): 7-17, 2002

      11 "ARM11 MPCore"

      12 C. Hsu, "A feasibility analysis of power awareness in commodity-based high-performance clusters" 1-10, 2005

      더보기

      동일학술지(권/호) 다른 논문

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      주제

      연도별 연구동향

      연도별 활용동향

      연관논문

      연구자 네트워크맵

      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

      인용정보 인용지수 설명보기

      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2028 평가예정 재인증평가 신청대상 (재인증)
      2022-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2019-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2016-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2014-07-03 학술지명변경 외국어명 : Journal of IEMEK -> IEMEK Journal of Embedded Systems and Applications KCI등재
      2012-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2011-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2009-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
      더보기

      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.27 0.27 0.22
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.22 0.18 0.415 0.07
      더보기

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼