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 SCIE SCOPUS

      GPU-ACCELERATED SPECKLE MASKING RECONSTRUCTION ALGORITHM FOR HIGH-RESOLUTION SOLAR IMAGES

      한글로보기

      https://www.riss.kr/link?id=A106640522

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract)

      The near real-time speckle masking reconstruction technique has been developed to accelerate the processing of solar images to achieve high resolutions for ground-based solar telescopes. However, the reconstruction of solar subimages in such a speckle reconstruction is very time-consuming. We design and implement a new parallel speckle masking reconstruction algorithm based on the Compute Unified Device Architecture (CUDA) on General Purpose Graphics Processing Units (GPGPU). Tests are performed to validate the correctness of our program on NVIDIA GPGPU. Details of several parallel reconstruction steps are presented, and the parallel implementation between various modules shows a significant speed increase compared to the previous serial implementations. In addition, we present a comparison of runtimes across serial programs, the OpenMP-based method, and the new parallel method. The new parallel method shows a clear advantage for large scale data processing, and a speedup of around 9 to 10 is achieved in reconstructing one solar subimage of 256$\times$256 pixels. The speedup performance of the new parallel method exceeds that of OpenMP-based method overall. We conclude that the new parallel method would be of value, and contribute to real-time reconstruction of an entire solar image.
      번역하기

      The near real-time speckle masking reconstruction technique has been developed to accelerate the processing of solar images to achieve high resolutions for ground-based solar telescopes. However, the reconstruction of solar subimages in such a speckle...

      The near real-time speckle masking reconstruction technique has been developed to accelerate the processing of solar images to achieve high resolutions for ground-based solar telescopes. However, the reconstruction of solar subimages in such a speckle reconstruction is very time-consuming. We design and implement a new parallel speckle masking reconstruction algorithm based on the Compute Unified Device Architecture (CUDA) on General Purpose Graphics Processing Units (GPGPU). Tests are performed to validate the correctness of our program on NVIDIA GPGPU. Details of several parallel reconstruction steps are presented, and the parallel implementation between various modules shows a significant speed increase compared to the previous serial implementations. In addition, we present a comparison of runtimes across serial programs, the OpenMP-based method, and the new parallel method. The new parallel method shows a clear advantage for large scale data processing, and a speedup of around 9 to 10 is achieved in reconstructing one solar subimage of 256$\times$256 pixels. The speedup performance of the new parallel method exceeds that of OpenMP-based method overall. We conclude that the new parallel method would be of value, and contribute to real-time reconstruction of an entire solar image.

      더보기

      참고문헌 (Reference)

      1 "cuFFT Library"

      2 Pehlemann, E., "Technical Aspects of the Speckle Masking Phase Reconstruction Algorithm" 216 : 337-, 1989

      3 Lohmann, A. W., "Speckle Masking in Astronomy: Triple Correlation Theory and Applications" 4028 : 4037-, 1983

      4 von der Luhe, O., "Speckle Imaging of Solar Small Scale Structure. I - Methods" 268 : 374-, 1993

      5 Gonsalves, R. A., "Phase Retrieval and Diversity in Adaptive Optics" 21 : 829-, 1982

      6 Flores, L. A., "Parallel CT Image Reconstruction Based on GPUs" 247 : 250-, 2014

      7 Xue-Bao Li, "PARALLEL IMAGE RECONSTRUCTION FOR NEW VACUUM SOLAR TELESCOPE" 한국천문학회 47 (47): 43-47, 2014

      8 Woger, F., "KISIP: A Software Package for Speckle Interferometry of Adaptive Optics Corrected Solar Data" 7019 : 70191E-, 2008

      9 Paxman, R. G., "Joint Estimation of Object and Aberrations by Using Phase Diversity" 9 : 1072-, 1992

      10 Li, X. B., "High-Performance Parallel Image Reconstruction for the New Vacuum Solar Telescope" 67 : 47-, 2015

      1 "cuFFT Library"

      2 Pehlemann, E., "Technical Aspects of the Speckle Masking Phase Reconstruction Algorithm" 216 : 337-, 1989

      3 Lohmann, A. W., "Speckle Masking in Astronomy: Triple Correlation Theory and Applications" 4028 : 4037-, 1983

      4 von der Luhe, O., "Speckle Imaging of Solar Small Scale Structure. I - Methods" 268 : 374-, 1993

      5 Gonsalves, R. A., "Phase Retrieval and Diversity in Adaptive Optics" 21 : 829-, 1982

      6 Flores, L. A., "Parallel CT Image Reconstruction Based on GPUs" 247 : 250-, 2014

      7 Xue-Bao Li, "PARALLEL IMAGE RECONSTRUCTION FOR NEW VACUUM SOLAR TELESCOPE" 한국천문학회 47 (47): 43-47, 2014

      8 Woger, F., "KISIP: A Software Package for Speckle Interferometry of Adaptive Optics Corrected Solar Data" 7019 : 70191E-, 2008

      9 Paxman, R. G., "Joint Estimation of Object and Aberrations by Using Phase Diversity" 9 : 1072-, 1992

      10 Li, X. B., "High-Performance Parallel Image Reconstruction for the New Vacuum Solar Telescope" 67 : 47-, 2015

      11 Beard, A., "DKIST Visible Broadband Imager Data Processing Pipeline" 9152 : 91521J-, 2014

      12 "CUDA Toolkit"

      13 Labeyrie, A., "Attainment of Diffraction Limited Resolution in Large Telescopes by Fourier Analysing Speckle Patterns in Star Images" 85 : 87-, 1970

      14 Woger, F., "Accelerated Speckle Imag- ing with the ATST Visible Broadband Imager" 8451 : 84511C-1, 2012

      15 Xuebao Li, "A NOVEL PARALLEL METHOD FOR SPECKLE MASKING RECONSTRUCTION USING THE OPENMP" 한국천문학회 49 (49): 157-162, 2016

      16 Shi, Z., "A Method of Level 1 Frames-Selection Based on GPU for New Vacuum Solar Telescope" 1408 : 1413-, 2015

      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
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-01-01 평가 등재 1차 FAIL (등재유지) KCI등재
      2006-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2003-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2002-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      1998-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
      더보기

      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 1.16 0.27 0.89
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.76 0.67 0.219 0.33
      더보기

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼