Centers & Labs

RIKEN Advanced Institute for Computational Science

Advanced Visualization Research Team

Team Leader: Kenji Ono (D.Eng.)
Kenji  Ono(D.Eng.)

Reduction of research results to society is of great importance as a part of scientific computation process, which demands analysis and visualization for large-scale dataset generated from massively parallel computer system. The aim of our team is to research efficient analysis and visualization methods, which can be applied to large-scale data for various research fields, and to develop a common base framework of the post processing. In addition, the developed system will be delivered to users and will be of assistance to their outreach activity. Since the post-processing is cross-cutting technology, we will tackle common issues in scientific fields, such as a fast and high-quality parallel image generation, massively parallel particle-tracking algorithm and so on.

Research Subjects

  • Research and development of high-performance parallel visualization system
  • Research and development of large-scale particle tracking algorithm
  • Research of data reduction algorithm for large-scale dataset

Selected Publications

  1. Nonaka, J., Fujita, M. and Ono K.:
    “Multi-Step Image Composition Approach for Sort-Last Massively Parallel
    Journal of Advanced Simulation in Science and Engineering Vol. 2(1), pp. 108-125, (2015)
  2. Nonaka, J., Fujita, M. and Ono K.:
    “234 Scheduling of 3-2 and 2-1 Eliminations for Parallel Image
    Compositing Using Non-Power-of-Two Number of Processes”
    2015 International Conference on High Performance Computing & Simulation (HPCS), pp. 421-428, (2015)
  3. Fujishiro, I., Chen, B.-Y., Chen, W., Hong, S.-H.. Itoh, T., Koyamada, K.,
    Ono, K. and Nonaka, J.:
    “Top Computational Visualization R&D Problems 2015: Panel”
    SIGGRAPH Asia 2015 Visualization in High Performance Computing (SA '15)}, pp. 20:1-20:13, (2015)
  4. Ye, Y. C., Wang, Y., Miller, R., Ma, K.-L. and Ono, K.:
    “In situ Depth Maps based Feature Extraction and Tracking”
    IEEE Symposium on Large Data Analysis and Visualization (LDAV), pp. 1-8, (2015)
  5. Kenji, O., Yasuhiro, K. and Tomohiro, K.:
    “Data Centric Framework for Large-scale High-performance Parallel
    Procedia Computer Science, vol. 29, pp. 2336 - 2350,(2014)
  6. Ono, K., Chiba, S., Inoue, S. and Minami, K.:
    “Low Byte/Flop Implementation of Iterative Solver for Sparse Matrices
    Derived from Stencil Computations”
    High Performance Computing for Computational Science - VECPAR 2014, vol. 8969, pp. 192-205, (2014)
  7. Chongke, Bi.,Ono, K. and Lu, Y.:
    “2-3-4 Combination for Parallel Compression on the K Computer”
    IEEE Pacific Visualization Symposium (PacificVis), pp.281-285, (2014).
  8. Chongke, Bi., Ono, K. and Lu, Y.:
    “Parallel POD Compression of Time-Varying Big Datasets Using m-Swap on
    the K Computer”
    IEEE International Congress on Big Data 2014, pp. 438-445, (2014)
  9. Ono, K., Kawanabe, T. and Hatada, T.:
    “HPC/PF - High Performance Computing Platform: An Environment That
    Accelerates Large-Scale Simulations Lecture Notes in Computer Science”
    High Performance Computing for Computational Science - VECPAR 2012, vol. 7851, pp. 23-27, (2013)
  10. Bi, C., Ono, K., Ma, K.-L., Wu, H. and Imamura, T.:
    “Proper Orthogonal Decomposition Based Parallel Compression for
    Visualizing Big Data on the K Computer”
    IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV), pp. 121-122, (2013).

Lab Members

Principal Investigator

Kenji Ono
Team Leader

Core Members

Jorji Nonaka
Research Scientist
Tomohiro Kawanabe
Technical Staff I
Kazunori Mikami
Technical Staff I
Seiji Fujino
Senior Visiting Scientist
Naohisa Sakamoto
Visiting Scientist
Masahiro Fujita
Visiting Technician

Contact information


Email: keno [at]

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