In Situ Visualization at Extreme Scale: Challenges and Opportunities

被引:94
|
作者
Ma, Kwan-Liu [1 ]
机构
[1] Univ Calif Davis, Davis, CA 95616 USA
基金
美国国家科学基金会;
关键词
Computer graphics; Scalability; Scientific discovery; Supercomputing; Visualization;
D O I
10.1109/MCG.2009.120
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Scientific computing at the petascale level enables us to answer many difficult scientific questions, but the resulting data are too large to store and study directly with conventional postprocessing visualization tools. This problem will only become more severe as we reach exascale computing. A plausible, attractive solution involves processing data in situ with the simulation to reduce the data that must be transferred over networks and stored and to prepare the data for more cost-effective postprocessing visualization. The data could be reduced with compression, feature extraction, and visualization methods. This article discusses critical issues in realizing in situ visualization and data reduction and suggests important research directions. © 2009 IEEE.
引用
收藏
页码:14 / 19
页数:6
相关论文
共 50 条
  • [1] Extreme Scale Computing: Challenges and Opportunities
    Torrellas, Josep
    Gropp, Bill
    Sarkar, Vivek
    Moreno, Jaime
    Olukotun, Kunle
    HPCA-16 2010: SIXTEENTH INTERNATIONAL SYMPOSIUM ON HIGH-PERFORMANCE COMPUTER ARCHITECTURE, PROCEEDINGS, 2010, : 155 - 155
  • [2] Extreme Scale Computing: Challenges and Opportunities
    PPOPP 2010: PROCEEDINGS OF THE 2010 ACM SIGPLAN SYMPOSIUM ON PRINCIPLES AND PRACTICE OF PARALLEL PROGRAMMING, 2010, : 101 - 101
  • [3] Top Research Challenges and Opportunities for Near Real-Time Extreme-Scale Visualization of Scientific Data
    Pugmire, David
    Moreland, Kenneth
    Athawale, Tushar M.
    Hammer, James
    Huang, Jian
    2024 IEEE 20TH INTERNATIONAL CONFERENCE ON E-SCIENCE, E-SCIENCE 2024, 2024,
  • [4] In Situ Analysis and Visualization of Extreme-Scale Particle Simulations
    Dutta, Soumya
    Lipsa, Dan
    Turton, Terece L.
    Geveci, Berk
    Ahrens, James
    HIGH PERFORMANCE COMPUTING, ISC HIGH PERFORMANCE 2022 INTERNATIONAL WORKSHOPS, 2022, 13387 : 283 - 294
  • [5] An Image-based Approach to Extreme Scale In Situ Visualization and Analysis
    Ahrens, James
    Jourdain, Sebastien
    O'Leary, Patrick
    Patchett, John
    Rogers, David H.
    Petersen, Mark
    SC14: INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS, 2014, : 424 - 434
  • [6] Characterizing and Modeling Power and Energy for Extreme-Scale In-situ Visualization
    Adhinarayanan, Vignesh
    Feng, Wu-chun
    Rogers, David
    Ahrens, James
    Pakin, Scott
    2017 31ST IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM (IPDPS), 2017, : 978 - 987
  • [7] ISAV 2024: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization
    Proceedings of SC 2024-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2024, : 839 - 840
  • [8] Frameworks for visualization at the extreme scale
    Joy, Kenneth I.
    Miller, Mark
    Childs, Hank
    Bethel, E. Wes
    Clyne, John
    Ostrouchov, George
    Ahern, Sean
    SCIDAC 2007: SCIENTIFIC DISCOVERY THROUGH ADVANCED COMPUTING, 2007, 78
  • [9] Scaling to Perception: Challenges and Opportunities for Large-Scale Immersive Visualization Facilities
    Polys, Nicholas F.
    Mohammed, Ayat
    Sandbrook, Ben
    PRESENCE-VIRTUAL AND AUGMENTED REALITY, 2025, 34 : 97 - 117
  • [10] Visualization in Transportation: Challenges and Opportunities for Everyone
    Pack, Michael L.
    IEEE COMPUTER GRAPHICS AND APPLICATIONS, 2010, 30 (04) : 90 - 96