Real-time inversion of solar spectropolarimetric data at high spatial and temporal resolution: HPC and GPU implementations

被引:1
|
作者
Bellot Rubio, Luis R. [1 ]
Cabrera, Manuel [1 ]
Cobos Carrascosa, Juan Pedro [1 ]
机构
[1] CSIC, Inst Astrofis Andalucia IAA, Glorieta Astron S-N, Granada 18008, Spain
基金
瑞典研究理事会;
关键词
Stokes inversion codes; parallel computing; GPU; solar physics; spectropolarimetry; radiative transfer;
D O I
10.1117/12.2630334
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
The upcoming generation of 4-meter solar telescopes (such as DKIST and EST) and planned networks for synoptic solar observations (such as SPRING) will rely on full Stokes spectropolarimetric measurements to infer the properties of the solar atmosphere. They will produce a wealth of data whose analysis represents a formidable challenge. To solve this problem, we have pursued two approaches within the H2020 SOLARNET project: parallelization of a Milne-Eddington Stokes inversion code for use in mid-size servers and implementation in graphics processing units (GPUs). Here we present the results of those efforts. P-MILOS and G-MILOS are two Stokes inversion codes that can be used to produce maps of physical quantities in real time during the observations at the telescope, or to generate science-ready data from time series of spectropolarimetric measurements taken by both imaging and slit-based spectropolarimeters. These codes will open a new era in solar research.
引用
收藏
页数:24
相关论文
共 50 条
  • [31] High spatial and temporal resolution vehicular emissions in south-east Brazil with traffic data from real-time GPS and travel demand models
    Ibarra-Espinosa, Sergio
    Ynoue, Rita Yuri
    Ropkins, Karl
    Zhang, Xuelei
    de Freitas, Edmilson Dias
    ATMOSPHERIC ENVIRONMENT, 2020, 222
  • [32] Representation of real-time data and temporal knowledge
    Northeastern Univ, Shenyang, China
    Ruan Jian Xue Bao, 1 (45-50):
  • [33] Real-Time Temporal Data Warehouse Cubing
    Ahmed, Usman
    Tchounikine, Anne
    Miquel, Maryvonne
    Servigne, Sylvie
    DATABASE AND EXPERT SYSTEMS APPLICATIONS, PT 2, 2010, 6262 : 159 - 167
  • [34] GPU-based real-time RGBD data filtering
    Amamra, Abdenour
    Aouf, Nabil
    JOURNAL OF REAL-TIME IMAGE PROCESSING, 2018, 14 (02) : 323 - 340
  • [35] GPU-based real-time RGBD data filtering
    Abdenour Amamra
    Nabil Aouf
    Journal of Real-Time Image Processing, 2018, 14 : 323 - 340
  • [36] GPU Rasterization for Real-Time Spatial Aggregation over Arbitrary Polygons
    Zacharatou, Eleni Tzirita
    Doraiswamy, Harish
    Ailamaki, Anastasia
    Silva, Claudio T.
    Freire, Juliana
    PROCEEDINGS OF THE VLDB ENDOWMENT, 2017, 11 (03): : 352 - 365
  • [37] A GPU-based real-time spatial coherence imaging system
    Hyun, Dongwoon
    Trahey, Gregg E.
    Dahl, Jeremy
    MEDICAL IMAGING 2013: ULTRASONIC IMAGING, TOMOGRAPHY, AND THERAPY, 2013, 8675
  • [38] Near real-time analysis of big fusion data on HPC systems
    Kube, Ralph
    Churchill, R. Michael
    Choi, Jong
    Wang, Ruonan
    Choi, Minjun
    Klasky, Scott
    Chang, C. S.
    PROCEEDINGS OF URGENTHPC 2020: THE IEEE/ACM INTERNATIONAL WORKSHOPS ON URGENT AND INTERACTIVE HPC, 2020, : 55 - 63
  • [39] Fpga implementations of algorithms for preprocessing of high-frame-rate and high-resolution image streams in real-time
    Hudomalj U.
    Mandla C.
    Plattner M.
    Annals of Emerging Technologies in Computing, 2021, 5 (02) : 50 - 61
  • [40] GPU-assisted high-resolution, real-time 3-D shape measurement
    Zhang, Song
    Royer, Dale
    Yau, Shing-Tung
    OPTICS EXPRESS, 2006, 14 (20): : 9120 - 9129