An In-Situ Visualization Approach for the K Computer Using Mesa 3D and KVS

被引:0
|
作者
Hayashi, Kengo [1 ,2 ]
Sakamoto, Naohisa [1 ,2 ]
Nonaka, Jorji [2 ]
Matsuda, Motohiko [2 ]
Shoji, Fumiyoshi [2 ]
机构
[1] Kobe Univ, Kobe, Hyogo, Japan
[2] RIKEN Ctr Computat Sci, Kobe, Hyogo, Japan
关键词
Mesa3D graphics library; SPARC64fx CPU; KVS library; Particle-Based Volume Rendering (PBVR); K computer; FRAMEWORK;
D O I
10.1007/978-3-030-02465-9_21
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Although K computer has been operational for more than five years, it is still ranked in the top 10 of the Top500 list, and in active use, especially in Japan. One of the peculiarity of this system is the use of SPARC64fx CPU, with no instruction set compatibility with other traditional CPU architecture, and the use of a two-staged parallel file system, where the necessary data is moved from the user accessible GFS (Global File System) to a faster LFS (Local File System) for enabling high performance I/O during the simulation run. Since the users have no access to the data during the simulation run, the tightly coupled (co-processing) in-situ visualization approach seems to be the most suitable approach for this HPC system. For the visualization purposes, the hardware developer (Fujitsu) did not provide or support the traditional Mesa 3D graphics library on their SPARC64fx CPU, and in exchange, it provided a non-OSS (Open Source Software) and non-OpenGL visualization library with Particle-Based Volume Rendering (PBVR) implementation, including an API for in-situ visualization. In order to provide a more traditional in-situ visualization alternative for the K computer users, we focused on the Mesa 3D graphics library, and on an OpenGL-based KVS (Kyoto Visualization System) library. We expect that this approach can also be useful on other SPARC64fx HPC environments because of the binary compatibility.
引用
收藏
页码:310 / 322
页数:13
相关论文
共 50 条
  • [1] An In-Situ Visualization Approach for the K Computer Using Mesa 3D and KVS
    Hayashi, Kengo
    Sakamoto, Naohisa
    Nonaka, Jorji
    Matsuda, Motohiko
    Shoji, Fumiyoshi
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, 11203 LNCS : 310 - 322
  • [2] 3D visualization of aqueous humor outflow structures in-situ in humans
    Kagemann, Larry
    Wollstein, Gadi
    Ishikawa, Hiroshi
    Sigal, Ian A.
    Folio, Lindsey S.
    Xu, Juan
    Gong, Haiyan
    Schuman, Joel S.
    EXPERIMENTAL EYE RESEARCH, 2011, 93 (03) : 308 - 315
  • [3] An approach to computer modeling and visualization of geological faults in 3D
    Wu, Q
    Xu, H
    COMPUTERS & GEOSCIENCES, 2003, 29 (04) : 503 - 509
  • [4] In-situ heating-and-electron tomography for materials research: from 3D (in-situ 2D) to 4D (in-situ 3D)
    Hata, Satoshi
    Ihara, Shiro
    Saito, Hikaru
    Murayama, Mitsuhiro
    MICROSCOPY, 2024, 73 (02) : 133 - 144
  • [5] In-situ Semantic 3D Modeling
    Sankar, Aditya
    PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION WITH MOBILE DEVICES AND SERVICES (MOBILEHCI 2016), 2016, : 909 - 910
  • [6] Characterizing zeolites in 3D and in-situ
    Arslan, Ilke
    Roehling, John D.
    Batenburg, K. Joost
    Gates, Bruce C.
    Katz, Alexander
    Perea, Daniel
    Lercher, Johannes
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2013, 245
  • [7] In-situ 3D visualization of composite microstructure during polymer-to-ceramic conversion
    Larson, Natalie M.
    Zok, Frank W.
    ACTA MATERIALIA, 2018, 144 : 579 - 589
  • [8] 3D Point Cloud Sensors for Low-cost Medical In-situ Visualization
    Placitelli, Alessio Pierluigi
    Gallo, Luigi
    2011 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE WORKSHOPS, 2011, : 596 - 597
  • [9] Real-time 3D Visualization of Deep Sea In-situ Soil Tester
    Dineshkumar, D.
    Chandran, V.
    Muthuswamy, V.
    Jayanthi, K.
    Muthuvel, P.
    NidhiVarshney
    Ramadass, G. A.
    Atmanand, M. A.
    2015 IEEE UNDERWATER TECHNOLOGY (UT), 2015,
  • [10] IN-SITU CALIBRATION FOR LOAD CELLS IN 3D PRINTED BIPEDAL ROBOT USING 3D MODELING IN COMPUTER-AIDED DESIGN ENVIRONMENT
    Le, Tung X.
    Herron, Connor W.
    Leonessa, Alexander
    PROCEEDINGS OF ASME 2023 INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, IMECE2023, VOL 11, 2023,