Kyushu University Academic Staff Educational and Research Activities Database
List of Presentations
Kenji Ono Last modified date:2022.05.13

Professor / Graduate School and Faculty of Information Science and Electrical Engineering, Department of Informatics / Section of Applied Data Science / Research Institute for Information Technology


Presentations
1. Tomohiro Kawanabe, Kazuma Hatta, Kenji Ono, ChOWDER A New Approach for Viewing 3D Web GIS on Ultra-High-Resolution Scalable Display, 2020 IEEE International Conference on Cluster Computing, CLUSTER 2020, 2020.09, ChOWDER is an open-source, web-based scalable display system that consists of multiple display devices on which a web browser operates in cooperation to construct a single large pixel space. Newly introduced functionality of displaying 3D geographic information systems allows us to show large 3D geographic information on ultra-high-resolution tiled display system. This paper describes the method of implementation, use cases, and related works of this functionality..
2. Xin Liang, Hanqi Guo, Sheng Di, Franck Cappello, Mukund Raj, Chunhui Liu, Kenji Ono, Zizhong Chen, Tom Peterka, Toward Feature-Preserving 2D and 3D Vector Field Compression, 13th IEEE Pacific Visualization Symposium, PacificVis 2020, 2020.06, The objective of this work is to develop error-bounded lossy compression methods to preserve topological features in 2D and 3D vector fields. Specifically, we explore the preservation of critical points in piecewise linear vector fields. We define the preservation of critical points as, without any false positive, false negative, or false type change in the decompressed data, (1) keeping each critical point in its original cell and (2) retaining the type of each critical point (e.g., saddle and attracting node). The key to our method is to adapt a vertex-wise error bound for each grid point and to compress input data together with the error bound field using a modified lossy compressor. Our compression algorithm can be also embarrassingly parallelized for large data handling and in situ processing. We benchmark our method by comparing it with existing lossy compressors in terms of false positive/negative/type rates, compression ratio, and various vector field visualizations with several scientific applications..
3. Kenji Ono, Toshihiro Kato, Satoshi Ohshima, Takeshi Nanri, Scalable Direct-Iterative Hybrid Solver for Sparse Matrices on Multi-Core and Vector Architectures, International Conference on High Performance Computing in Asia-Pacific Region, 2019.12, In the present paper, we propose an efficient direct-iterative hybrid solver for sparse matrices that can derive the scalability of the latest multi-core, many-core, and vector architectures and examine the execution performance of the proposed SLOR-PCR method.
We also present an efficient implementation of the PCR algorithm for SIMD and vector architectures so that it is easy to output instructions optimized by the compiler.
The proposed hybrid method has high cache reusability, which is favorable for modern low B/F architecture because efficient use of the cache can mitigate the memory bandwidth limitation.
The measured performance revealed that the SLOR-PCR solver showed excellent scalability up to 352 cores on the cc-NUMA environment, and
the achieved performance was higher than that of the conventional Jacobi and Red-Black ordering method by a factor of 3.6 to 8.3 on the SIMD architecture.
In addition, the maximum speedup in computation time was observed to be a factor of 6.3 on the cc-NUMA architecture with 352 cores..
4. Kenji Ono, Atsushi Tsurumaru, Keisuke Terada, Ryuji Furukawa, Mizue Munekata, Hiroyuki Yoshikawa, Numerical Study on Multiphase Flow in a Cyclone Separator for Fuel Cell Vehicles, The 7th Asia-Pacific Congress on Computational Mechanics, 2019.12.
5. Kenji Ono, Ryuji Furukawa, Atsushi Tsurumaru, Keisuke Terada, Mizue Munekata, Hiroyuki Yoshikawa, Takashi Watanabe, Numerical Study of Air Flow Characteristics in a Compact Cyclone Separator for Fuel Cell Vehicles, International Symposium on Novel and Sustainable Technology, 2019.12.
6. Kenji Ono, Mikio Iizuka, Investigation of Effective Methods for Improving the Convergence of Parareal Method for 1D Advection Equation, The 7th Asia-Pacific Congress on Computational Mechanics, 2019.12.
7. Kenji Ono, Issei Koga, Effective approach for identifying governing equations from data, The 7th Asia-Pacific Congress on Computational Mechanics, 2019.12.
8. Tomohiro Kawanabe, Jorji Nonaka, Kenji Ono, ChOWDER: A VDA-Based Scalable Display System for Displaying High-Resolution Visualization Results, International Conference on High Performance Computing in Asia-Pacific Region, 2019.12.
9. Kenji Ono, Mikio Iizuka, Investigation of effective methods to improve the convergence of parareal time integration for advection equation, 8th Workshop on Parallel-in-Time Integration, 2019.05.
10. Kenji Ono, Mizue Munekata, Takashi Watanabe, Collecting Performance in a Cyclone Separator with a Hemispherical Head, 14th International Symposium on Experimental
Computational Aerothermodynamics of Internal Flows, 2019.07.
11. Kenji Ono, Jorji Nonaka, Motohiko Matsuda, Naohisa Sakamoto, Fumiyoshi Shoji, Masahiro Fujita, Kazuma Hatta, Kentaro Oku, Kengo Hayashi, A Large Data Visualization Framework for SPARC64 fx HPC Systems
Case Study: K Computer Operational Environment, The 8th IEEE Symposium on Large Data Analysis and Visualization, 2018.10.
12. Kenji Ono, Jorji Nonaka, Tomohiro Kawanabe, Motohiko Matsuda, Shun Ito, Masaaki Terai, Fumiyoshi Shoji, Naohisa Sakamoto, Kengo Hayashi, Masahiro Fujita, Kentaro Oku, Kazuma Hatta, HIVE: A Cross-Platform, Modular Visualization Ecosystem for Heterogeneous Computational Environments, SC18, 2018.11.
13. Gaku Tanaka, Fuyuto Araki, Shun Shimizu, Toshihiro Sera, Hideo Yokota, Kenji Ono, Voxel-based simulation of air-conditioning in the human nasal cavity, 15th International Heat Transfer Conference, IHTC 2014, 2014.08, This work describes a new approach to simulate the airflow and air-conditioning in the individual human nasal airways using voxel-based modeling with Cartesian structured grid. Computed tomography imaging scans of a healthy adult nose were used to reconstruct 3D virtual models of the nasal airways. Voxel-based simulation of quiet restful inspiratory flow was then performed using meshes of varying refinement to determine the level of mesh refinement required to adequately resolve the flow and heat transfer. For meshes with a voxel pitch of 0.20 mm or less, the voxel model successfully reconstruct the realistic nasal structure and simulate the overall pressure drop and airflow temperature. The resultant streamlines and vorticity distributions reveal the characteristic flow structure in the nasal cavities, with high speed jet posterior to the nasal valve, recirculating flow that occupies the anterior part of the upper cavity, and low speed flow in the olfactory region. It was also found that the impinging jet plays an important role in the air-conditioning performance in the nasal cavities..
14. Kenji Ono, Dynamic selection of the number of padding to improve the performance caused by slushing, 2018 Conference on Advanced Topics and Auto Tuning inHigh-Performance Scientific Computing, 2018.02.
15. Issei Koga, Kenji Ono, Improving efficiency of symbolic regression to find the formula that express data, The 12th International Workshop on Information Search, Integration, and Personalization, 2018.05.
16. Design of AMR data structure considering efficiency and less footprint.
17. The latest results of research and the future prospects of the parallel-in-time integration method.
18. Kenji Ono, Jorji Nonaka, Yoshiyuki Morie, Takeshi Nanri, Tomohiro Kawanabe, Design of an In Transit Framework with Staging Buffer for Flexible Data Processing and Visualization of Time-Varying Data, ISC WORKSHOP ON IN SITU VISUALIZATION 2018, 2018.06.
19. Estimation of Functions Representing Data Using Deep learning.
20. Kenji Ono, Tomohiro Kawanabe, Scientific Workflow tailored for Capacity Computing of Product Design, 2018.07.
21. Kenji Ono, Takanori Uchida, Two-Stage in Situ Parallel Meshing for Large-Scale Atmospheric Fluid Simulation Over Complex Topography, 2018.10.
22. Kenji Ono, Takanori Uchida, High-Throughput Parallel Simulation of Airflow for Detailed Land Configuration, 2018.10.
23. Kenji Ono, Mizue Munekata, Air Flow Characteristics and Mist Distribution in a Hemispheric Head Cyclone Separator, 2018 International Symposium on Novel and Sustainable Technology, 2018.10.
24. Convergence of Parallel-in-time Integration for advection equation by Parareal Method.
25. Online collaboration using the tiled display system ChOWDER.
26. PMlib that provides a function of thread performance monitoring.
27. Mikio Iizuka, Kenji Ono, Investigation of Convergence of Parareal Method for Advection Equation using Accurate Phase Calculation Method, 7th Workshop on Parallel-in-Time methods, 2018.05.
28. Mikio Iizuka, Kenji Ono, Convergence Acceleration of the PinT Integration of Advection Equation using Accurate Phase Calculation Method, SIAM Conference on Parallel Processing for Scientific Computing, 2018.03.
29. Jorji Nonaka, Motohiko Matsuda, Takashi Shimizu, Naohisa Sakamoto, Masahiro Fujita, Keiji Onishi, Eduardo C. Inacio, Shun Ito, Fumiyoshi Shoji, Kenji Ono, A study on open source software for large-scale data visualization on SPARC64fx based HPC systems, 2018 International Conference on High Performance Computing in Asia-Pacific Region, HPC Asia 2018, 2018.01, In this paper, we present a study on the available open-source software (OSS) for large-scale data visualization on the SPARC64fx based HPC systems, such as the K computer and also the Fujitsu PRIMEHPC FX family of supercomputers (FX10 and FX100), which are commonly available throughout Japan. It is widely known that these HPC systems have been generating a vast amount of simulation results in a wide range of science and engineering fields. However, there was no much information regarding the large-scale data visualization software and approaches in such HPC infrastructure. In this work, we focused on the visualization approaches where the HPC hardware resources are directly used for the visualization processing, which can be helpful to minimize the large data transfer issue for the visualization and analysis purposes. This study includes both OpenGL (Open Graphics Library) and nonOpenGL based visualization approaches, and also the availability of the GLSL (OpenGL Shading Language) handling functionalities. Although it is a short survey focusing only on the post-processing issue, we expect that this study can be useful and helpful for the current and future potential users of the SPARC64fx CPU based HPC systems, which are still in active use throughout Japan..
30. Issei Koga, Kenji Ono, Estimation of Functions Representing Data Using Convolution Neural Network, 2018 International Conference on High Performance Computing in Asia-Pacific Region, HPC Asia 2018, 2018.01.
31. Jorji Nonaka, Naohisa Sakamoto, Yasumitsu Maejima, Kenji Ono, Koji Koyamada, A visual causal exploration framework case study
A torrential rain and a flash flood in Kobe city, SIGGRAPH Asia 2017 Symposium on Visualization, SA 2017, 2017.11, Extremeweather events, such as unexpected and sudden torrential rains, have received increasing attention by the specialists as well as ordinary people due to the possibility of causing severe material damages and human losses. Computational climate scientists have been working on high-resolution time-varying, multivariate numerical simulations of this kind of short-term event, which is still hard to predict. Local governments of the natural disaster prone countries, like Japan, usually possess disaster management sectors, responsible for storing the disaster related data and analysis results. In this paper, we present a visualization framework for enabling the interactive exploration of the causality, such as of the disasters and the related extreme weather events. The end users will be able to identify the spatio-temporal regions where there is a strong strength of cause-effect relationships. As a case study, we studied the unexpected torrential rain occurred in the city of Kobe, in 2008, where a flash flood, in the urban area, caused some human losses. We utilized high-resolution computational climate simulation results executed on a supercomputer, and the measured river level data obtained from the Civil Engineering Office of Kobe City. We expected that this kind of tool can assist the specialists for better understanding the cause-effect relationships between the extreme weather and the related disasters, as well as, the local government policy makers in the adaptation policies for the disaster risk reductions..
32. Mikio Iizuka, Kenji Ono, Investigation of Convergence Characteristics of the Parareal method for Hyperbolic PDEs using the Reduced Basis Methods, Fifth Parallel-in-time Integration Workshop, 2017.11.
33. Eduardo C. Inacio, Jorji Nonaka, Kenji Ono, Mario Dantas, Analyzing the I/O Performance of Post-Hoc Visualization of Huge Simulation Datasets on the K Computer, 2017 Brazilian Symposium on High Performance Computing Systems, 2017.10.
34. Mikio Iizuka, Kenji Ono, Investigation of Convergence Characteristics of Parareal Method for Advection Equation using Accurate Phase Calculation Method, 6th workshop on Parallel-in-Time methods, 2017.10.
35. Jorji Nonaka, Naohisa Sakamoto, Takashi Shimizu, Masahiro Fujita, Kenji Ono, Koji Koyamada, Distributed particle-based rendering framework for large data visualization on hpc environments, 15th International Conference on High Performance Computing and Simulation, HPCS 2017, 2017.09, In this paper, we present a distributed data visualization framework for HPC environments based on the PBVR (Particle Based Volume Rendering) method. The PBVR method is a kind of point-based rendering approach where the volumetric data to be visualized is represented as a set of small and opaque particles. This method has the object-space and image-space variants, defined by the place (object or image- space) where the particle data sets are generated. We focused on the object-space approach, which has the advantage when handling large-scale simulation data sets such as those generated by modern HPC systems. In the object-space approach, the particle generation and the subsequent rendering processes can be easily decoupled. In this work, we took advantage of this separability to implement the proposed distributed rendering framework. The particle generation process utilizes the functionalities provided by the KVS (Kyoto Visualization System), and the particle rendering process utilizes the functionalities provided by the HIVE (Heterogeneously Integrated Visual- analytics Environment). The proposed distributed visualization framework is targeted to work also on systems without any hardware graphics acceleration capability, which are commonly found on modern HPC operational environments. We evaluated this PBVR-based distributed visualization infrastructure on the K computer operational environment by utilizing a CPU-only processing server for the particle data generation and rendering. In this preliminary evaluation, using some CFD (Computational Fluid Dynamics) simulation data sets, we obtained encouraging results for pushing further the development in order to make this system available as an effective visualization alternative for the HPC users..
36. Seigo Imamura, Kenji Ono, Mikio Iizuka, Mitsuo Yokokawa, Building the Performance Model of Parareal Method, 28th International Conference on Parallel Computational Fluid Dynamics Parallel CFD2016, 2017.05.
37. Mizue Munekata, Akimasa Narita, Go Kitamura, Hiroyuki Yoshikawa, Kenji Ono, Takashi Watanabe, Flow Characteristics and Separation Performance in a Hemispheric Head Cyclone Separator, the 13th International Symposium on Experimental Computational Aerothermodynamics of Internal Flows, 2017.05.
38. Daisuke Sakurai, Kenji Ono, Hamish Carr, Jorji Nonaka, Tomohiro Kawanabe, Flexible Fiber Surface: A Reeb-Free Approach, Topology-Based Methods in Visualization 2017 (TopoInVis 2017), 2017.02.
39. Daisuke Sakurai, Kenji Ono, Hamish Carr, Jorji Nonaka, Tomohiro Kawanabe, Flexible Fiber Surface : A Reeb-Free Approach, Topology-Based Methods in Visualization 2017, 2017.02.
40. Mikio Iizuka, Kenji Ono, Investigation of Convergence Characteristics of the Parareal method for Hyperbolic PDEs using the Reduced Basis Methods, Fifth Parallel-in-time Integration Workshop, 2016.11.
41. Takashi Shimizu, Naohisa Sakamoto, Jorji Nonaka, Kenji Ono, Koji Koyamada, Integrated Volume Visualization Environment on the Web, ISAV 2016: In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization Held in conjunction with SC16: The International Conference on High Performance Computing, Networking, Storage, and Analysis, 2016.11.
42. Takashi Shimizu, Naohisa Sakamoto, Jorji Nonaka, Kenji Ono, Koji Koyamada, Integrated Volume Visualization Environment on the Web, Lightning presentation, ISAV 2016: In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization Held in conjunction with SC16: The International Conference on High Performance Computing, Networking, Storage, and Analysis, 2016, 2016.11.
43. Takashi Shimizu, Naohisa Sakamoto, Jorji Nonaka, Kenji Ono, Koji Koyamada, Web-based Visualization System for Large-Scale Volume Datasets, The 35th JSST Annual Conference International Conference on Simulation Technology, 2016.10.
44. Takashi Shimizu, Naohisa Sakamoto, Jorji Nonaka, Kenji Ono, Koji Koyamada, Web-based Visualization System for Large-Scale Volume Datasets, JSST2016 Symposium, 2016.10.
45. Kenji Ono, Akimasa NARITA, Keisuke MACHIDA, Saki EGAWA, Mizue MUNEKATA, Takashi WATANABE, Hiroyuki YOSHIKAWA, Characteristics of Air Flow in a Hemispheric Head Cyclone Separator, The 27th International Symposium on Transport Phenomena, 2016.09, erimentally and numerically the characteristics of gas flow (single phase flow) in the hemispheric head cyclone separator without flowing particles and to find the flow characteristics contributing into high collection efficiency. It is shown that the numerical results calculated by RIKEN’s computational code and K computer are qualitatively agreement with the experimental results. The numerical results at Re = 2.3  105 show the characteristics of the outer spiraling flow, the vortex rope formed at the central core, the longitudinal vortices surrounded the vortex rope, in the hemispherical head cyclone separator, comparing with a conventional flat head cyclone separator. Additionally it is found that the total energy loss in the spherical head is smaller than that in the flat head..
46. Akimasa Narita, Keisuke Machida, Saki Egawa, Mizue Munekata, Hiroyuki Yoshikawa, Kenji Ono, Takeshi Watanabe, Characteristics of Air Flow in a Hemispheric Head Cyclone Separator, The 27th International Symposium on Transport Phenomena, 2016.09.
47. Ken Uzawa, Kenji Ono, Parallel Performance of Frontflow/violet-Cartesian with Wall-Modeled LES Capability, 24th International Congress of Theoretical and applied Mechanics, 2016.08.
48. Ken Uzawa, Kenji Ono, Turbulence Analysis For High Reynolds Number Flow By Open-source CFD Software FrontFlow/Violet-Cartesian, The 12the World Congress on Computational Mechanics, 2016.07.
49. Fan Hong, Chongke Bi, Hanqi Guo, Kenji Ono, Xiaoru Yuan, Compression-based Integral Curve Data Reuse Framework for Flow Visualization, 2016.07, Currently, by default, integral curves are repeatedly re-computed in different flow visualization applications, such as FTLE field computation, source-destination queries, etc., leading to unnecessary resource cost. We present a compression-based data reuse framework for integral curves, to greatly reduce their retrieval cost, especially in a resource-limited environment. In our design, a hierarchical and hybrid compression scheme is proposed to balance three objectives, including high compression ratio, controllable error, and low decompression cost. Specifically, we use and combine digitized curve sparse representation, floating-point data compression, and octree space partitioning to adaptively achieve the objectives. Results have shown that our data reuse framework could acquire tens of times acceleration in the resource-limited environment compared to on-the-fly particle tracing, and keep controllable information loss. Moreover, our method could provide fast integral curve retrieval for more complex data, such as unstructured mesh data..
50. Mikio Iizuka, Kenji Ono, Framework for Building Parallel-in-Time Integration Simulators, The 12the World Congress on Computational Mechanics, 2016.07.
51. Chongke Bi, Jorji Nonaka, Kenji Ono, Interactive In-situ Visualization for Large-Scale Simulations, China Vis 2016, 2016.07.
52. Ken Uzawa, Kenji Ono, Turbulence Analysis For High Reynolds Number Flow By Open-source CFD Software FrontFlow/Violet-Cartesian, The 12the World Congress on Computational Mechanics, 2016.07.
53. Ken Uzawa, Kenji Ono, Validation of Wall-Modeled LES for High Reynolds Number Flow, VII European Congress on Computational Methods in Applied Sciences and Engineering, 2016.06.
54. Jorji Nonaka, Masahiro Fujita, Kenji Ono, Kentarou Oku, Tomohiro Kawanabe, HIVE: A VISUAL ANALYTICS FRAMEWORK FOR LARGE-SCALE CFD ON THE K COMPUTER, 28th International Conference on Parallel Computational Fluid Dynamics Parallel CFD2016, 2016.05.
55. S. Shimizu, T. Sakamoto, Shinya Kimura, Gaku Tanaka, Sera Toshihiro, Hideo Yokota, Kenji Ono, Direct Numerical Simulation of Nasal Airflow, 28th International Conference on Parallel Computational Fluid Dynamics Parallel CFD2016, 2016.05.
56. Seigo Imamura, Mikio Iizuka, Kenji Ono, Mitsuo Yokokawa, Building the Performance Model of Parareal Method, 28th International Conference on Parallel Computational Fluid Dynamics Parallel CFD2016, 2016.05.
57. Mizue MUNEKATA, Akimasa NARITA, Go KITAMURA, Hiroyuki YOSHIKAWA, Kenji Ono, Takashi WATANABE, Flow Characteristics and Separation Performance in a Hemispheric Head Cyclone Separator, Proceedings of the 13th International Symposium on Experimental Computational Aerothermodynamics of Internal Flows, 2016.05.
58. S. Shimizu, T. Sakamoto, Shinya Kimura, Gaku Tanaka, Toshihiro Sera, Hideo Yokota, Kenji Ono, Direct Numerical Simulation of Nasal Airflow, 28th International Conference on Parallel Computational Fluid Dynamics Parallel CFD2016, 2016.05.
59. Kenji Ono, Jorji Nonaka, Masahiro Fujita, Kentaro Oku, HIVE: A VISUAL ANALYTICS FRAMEWORK FOR LARGE-SCALE CFD ON THE K COMPUTER, 28th International Conference on Parallel Computational Fluid Dynamics Parallel CFD2016, 2016.05.
60. 小野 謙二, 野中 丈士, 藤田 将洋, 畢 重科, 櫻井 大督, 川鍋 友宏, 奥 健太郎, HIVE: A Visualization and Analysis Framework for Large-Scale Simulations on the K Computer, 9th IEEE Pacific Visualization Symposium, 2016.04.
61. Mikio Iizuka, Kenji Ono, Convergence Rate of Parareal Method with Modified Newmark-Beta Algorithm for 2nd-Order ODE, 17th SIAM Conference on Parallel Processing for Scientific Computing, 2016.04.
62. Mikio Iizuka, Kenji Ono, Convergence Rate of Parareal Method with Modified Newmark-Beta Algorithm for 2nd-Order ODE, 17th SIAM Conference on Parallel Processing for Scientific Computing, 2016.04.
63. Numerical simulation of transitional flow in nasal cavity.
64. Yucong Chris Ye, Yang Wang, Robert Miller, Kwan Liu Ma, Kenji Ono, In situ depth maps based feature extraction and tracking, 5th IEEE Symposium on Large Data Analysis and Visualization, LDAV 2015, 2015.12, Parallel numerical simulation is a powerful tool used by scientists to study complex problems. It has been a common practice to save the simulation output to disk and then conduct post-hoc in-depth analyses of the saved data. System I/O capabilities have not kept pace as simulations have scaled up over time, so a common approach has been to output only subsets of the data to reduce I/O. However, as we are entering the era of peta-and exa-scale computing, this sub-sampling approach is no longer acceptable because too much valuable information is lost. In situ visualization has been shown a promising approach to the data problem at extreme-scale. We present a novel in situ solution using depth maps to enable post-hoc image-based visualization and feature extraction and tracking. An interactive interface is provided to allow for fine-tuning the generation of depth maps during the course of a simulation run to better capture the features of interest. We use several applications including one actual simulation run on a Cray XE6 supercomputer to demonstrate the effectiveness of our approach..
65. Kenji Ono, Jorji Nonaka, Panel
Top computation visualization R&D problems 2015 - Ubiquitous and sustainable high-performance visualization, SIGGRAPH Asia, SA 2015, 2015.11, Scientific visualization has matured over the last two decades with the accumulation of knowledge and expertise from various field of research. High performance visualization is therefore built on top of various related underlying methods and techniques from different fields. Usually, the HPC (High Performance Computing) users have more specific needs than general ones, and besides the formulation of new visualization methodologies and approaches, it becomes crucial to actually implement and deliver these visualization capabilities to the end users. This development process is usually a long-term activity thus it requires a long-term software development and maintenance process. Therefore, the system design is required to cope with the dynamic changes in the computer architecture of the HPC systems over the years. A flexible visualization framework which can cope with these architectural changing, can interact with different hardware devices, and can easily be aggregated with other visualization methodologies becomes highly necessary. In addition, it is desired to be capable of adapting and coordinating with different post-processing requirements related to the changing in the use of HPC resources for better efficiency. We will describe the top three issues related to the design and development of this kind of visualization framework to deliver ubiquitous and sustainable High Performance Visualization capabilities..
66. Trends and prospects of research on parallel in time integration method.
67. Jorji Nonaka, Kenji Ono, Masahiro Fujita, 234 scheduling of 3-2 and 2-1 eliminations for parallel image compositing using non-power-of-two number of processes, 13th International Conference on High Performance Computing and Simulation, HPCS 2015, 2015.09, Binary-Swap is a parallel image compositing algorithm based on recursive vector halving and distance doubling, and works efficiently when the number of processes is exactly a power-of-two (2n). Several power-of-two converting approaches for Binary-Swap have been proposed. Among them, the Telescope method, based on the Binary Blocks algorithm, has been shown as the most promising approach. The Telescope method decomposes an entire set of processes into blocks of power-of-two size and merges the smaller blocks into larger blocks in stepwise fashion. This block merging process corresponds to the communication and computational overhead of the conversion, and since it can only merge one block per stage, it becomes inefficient as the number of binary blocks increases. In this paper, we focus on a single-stage conversion method using the 3-2 and 2-1 elimination approaches. The original scheduling method, proposed by Rabenseifner et al., is limited to an odd number of processes since it always schedules a single 3-2 elimination per conversion. Taking into consideration that the 3-2 elimination can be optimized on modern HPC systems, which can overlap the communication and computation, we propose 234 Scheduling for scheduling multiple 3-2 eliminations per conversion. The multiple 3-2 elimination scheduling enlarges the application range by enabling its use on an even number of processes. We evaluated 234 Scheduling applied to Binary-Swap on the K computer, which is a modern parallel HPC system, and confirmed its effectiveness..
68. Numerical simulation of transitional flow in nasal cavity.
69. Simulation of nasal air flow and temperature using a voxel model constructed directly from medical images.
70. Jorji Nonaka, Kenji Ono, Masahiro Fujita, Multi-step image compositing for massively parallel rendering, 2014 International Conference on High Performance Computing and Simulation, HPCS 2014, 2014.09, High performance visualization has played an important role in computer-aided scientific discovery and has become an indispensable tool for computational scientists. Sort-last parallel rendering is a proven approach for visual data analytics by extracting meaningful information from huge data sets generated from large scale scientific computing. Image compositing is the last stage of sort-last parallel rendering pipeline and works by combining the images generated by the rendering nodes to generate the final image. Since it requires interprocess communication among the entire nodes, it usually dominates the total cost of the parallel rendering process. In current high-end massively parallel HPC systems, where tens or even hundreds of thousands of nodes can be involved, performance degradation is inevitable even using theoretically scalable image compositing algortithms such as the well-known Binary-Swap method. To minimize this undesirable performance degradation, we propose the multi-step image compositing method, where the image compositing nodes are divided into smaller groups and the entire process is performed in several steps. We evaluated the proposed image compositing method on RIKEN K computer, which is a massively parallel HPC system, and we obtained encouraging results showing the effectiveness of this method in a large-scale image compositing environment. We also foresee a great potential of this method to meet the large-scale image compositing demands brought about by the rapid increase in processor counts of current and next-generation HPC systems..
71. Chongke Bi, Kenji Ono, Lu Yang, Parallel POD compression of time-varying big datasets using m-swap on the K computer, 3rd IEEE International Congress on Big Data, BigData Congress 2014, 2014.09, Thanks to the supercomputer, more and more complicated simulations are successfully achieved. On the other hand, to analyze and understand the intrinsic properties of the big datasets from the simulations is an urgent research for scientists. However, the explosive size of the big datasets makes such kind of task difficult. Therefore, reduction of the size of the big datasets becomes an important topic, in which data compression and parallel computing are the two key techniques. In this paper, we presented a parallel data compression approach to reduce the size of time-varying big datasets. Firstly, we employ the proper orthogonal decomposition (POD) method for compression. The POD method can extract the underlying features of datasets to greatly reduce the size of big datasets. Meanwhile, the compressed datasets can be decompressed linearly. This feature can help scientists to interactively visualize big datasets for analysis. Then, we introduced a novel m-swap method to effectively parallelize the POD compression algorithm. The m-swap method can reach a high performance through fully using all parallel computing processors. In another word, no idle processors exist in the parallel compression process. Furthermore, the m-swap method can greatly reduce the cost of interprocessor communication. This is achieved by controlling the data transfer among 2m processors to obtain the best balance of computation cost of these processors. Finally, the effectiveness of our method will be demonstrated through compressing several time-varying big datasets on the K computer with ten thousands of processors..
72. Kenji Ono, Shuichi Chiba, Shunsuke Inoue, Kazuo Minami, Low byte/flop implementation of iterative solver for sparse matrices derived from stencil computations, 11th International Conference on High Performance Computing for Computational Science, VECPAR 2014, 2014.06, Practical simulators require high-performance iterative methods and efficient boundary conditions, especially in the field of computational fluid dynamics. In this paper, we propose a novel bitrepresentation technique to enhance the performance of such simulators. The technique is applied to an iterative kernel implementation that treats various boundary conditions in a stencil computation on a structured grid system. This approach reduces traffic from the main memory to CPU, and effectively utilizes Single Instruction–Multiple Data (SIMD) stream units with cache because of the bit-representation and compression of matrix elements. The proposed implementation also replaces if-branch statements with mask operations using the bit expression. This promotes the optimization of code during compilation and runtime. To evaluate the performance of the proposed implementation, we employ the Red–Black SOR and BiCGstab algorithms. Experimental results show that the proposed approach is up to 3.5 times faster than a naïve implementation on both the Intel and Fujitsu Sparc architectures..
73. Chongke Bi, Kenji Ono, 2-3-4 combination for parallel compression on the K computer, 2014 7th IEEE Pacific Visualization Symposium, PacificVis 2014, 2014.03, The development of supercomputers has successfully helped us to carry on complicated simulation with exploded size of dataset. For visualizing such kind of large-scale dataset, reducing the data size by using compression methods is one of the most useful approach. Moreover, parallelization of compression algorithm can greatly improve the efficiency and resolve the limitation of memory size. However, in parallel compression algorithm, interprocessor communication is indispensable, while it is also a bottleneck problem, especially for the general cases that the number of processors is not power-of-Two. Parallel POD (proper orthogonal decomposition) compression algorithm is such an example, the number of time steps must be power-of-Two for the binary swap scheme. A method that can fully resolve this problem with low computational cost will be very popular. In this paper, we proposed such an approach called 2-3-4 combination approach, which can be simply implemented and also reach high performance of parallel computing algorithms. Furthermore, our method can obtain the best balance among all parallel computing processors. This is achieved by transferring the non-power-of-Two problem into power-of-Two problem to fully use the best balance feature of binary swap method. We evaluate our approach through applying it to the parallel POD compression algorithm on the K computer..
74. Hamed Khandan, Kenji Ono, Knowledge request-broker architecture
A possible foundation for a resource-constrained dynamic and autonomous global system, 2014 IEEE World Forum on Internet of Things, WF-IoT 2014, 2014.03, Significant gap between software programming model and execution model is one major slowing factor in the development of the emerging field of Internet-of-Things. It is also one of the main reasons why software systems often lag behind hardware technologies and fail to capture the full potentials of modern day hardware infrastructure, which is mostly parallel and distributed. We need to change the way we think about software fundamentally, and make it, at its most basic level, to work like the physical world works: distributed, parallel, loosely connected, and asynchronous. KnoRBA achieves this by making the basic components of any program, such as a common word processor, to be asynchronous mobile agents. Then through provision of implementation and location transparency it establishes integration across a distributed environment. This extended abstract is an early introduction to the new revision of KnoRBA that makes it efficient in a domain like sensor networks where power and bandwidth are critical factors..
75. J011011 Development of large-scale grid generation method for high-performance parallel fluid computation.
76. Development and applications of the parallel computing middleware for the life science simulations.
77. Kenji Ono, Tomohiro Kawanabe, Toshio Hatada, HPC/PF - High performance computing platform
An environment that accelerates large-scale simulations, 10th International Conference on High Performance Computing for Computational Science, VECPAR 2012, 2013.07, Peta-scale supercomputers enable us to tackle very large-scale problems of which results provide useful information to understand physical phenomena or to improve performance of a product design. The large-scale simulation is becoming dawn to earth due to parallel computing techniques, however, inherent barriers on the distributed parallel environment are still remains in simulation process, i.e., grid generation, visualization and data analysis. In this paper, the authors would like to clarify the issues to be resolved for productive support environment of the large-scale simulation, and to propose a foundational framework to enhance the utilization of huge computational resources..
78. Chongke Bi, Kenji Ono, Kwan Liu Ma, Haiyuan Wu, Toshiyuki Imamura, Proper orthogonal decomposition based parallel compression for visualizing big data on the K computer, 2013 3rd IEEE Symposium on Large-Scale Data Analysis and Visualization, LDAV 2013, 2013.01, The development of supercomputers has greatly help us to carry on large-scale computing for dealing with various problems through simulating and analyzing them. Visualization is an indispensable tool to understand the properties of the data from supercomputers. Especially, interactive visualization can help us to analyze data from various viewpoints and even to find out some local small but important features. However, it is still difficult to interactively visualize such kind of big data directly due to the slow file I/O problem and the limitation of memory size. For resolving these problems, we proposed a parallel compression method to reduce the data size with low computational cost. Furthermore, the fast linear decompression process is another merit for interactive visualization. Our method uses proper orthogonal decomposition (POD) to compress data because it can effectively extract important features from the data and the resulting compressed data can also be linearly decompressed. Our implementation achieves high parallel efficiency with a binary load-distributed approach, which is similar to the binary-swap image composition used in parallel volume rendering [2]. This approach allows us to effectively utilize all the processing nodes and reduce the interprocessor communication cost throughout the parallel compression calculations. Our test results on the K computer demonstrate superior performance of our design and implementation..
79. Chongke Bi, Daisuke Sakurai, Shigeo Takahashi, Kenji Ono, Interactive control of mesh topology in quadrilateral mesh generation based on 2D tensor fields, 8th International Symposium on Visual Computing, ISVC 2012, 2012.10, Generating quadrilateral meshes is very important in many industrial applications such as finite element analysis and B-spline surface fitting. However, it is still a challenging task to design appropriate vertex connectivity in the quadrilateral meshes by respecting the shapes of the target object and its boundary. This paper presents an approach for interactively editing such mesh topology in quadrilateral meshes by introducing a 2D diffusion tensor field to the interior of the target object. The primary idea is to track the two principal directions of the tensor field first and then construct the dual graph of the quadrilateral mesh, so that we can control the mesh topology through the design of the underlying 2D diffusion tensor field. Our method provides interactive control of such mesh topology through editing the orientations of the tensor samples on the boundary of the target object. Furthermore, it also allows us to intentionally embed degeneracy inside the object to introduce extraordinary (i.e., non-degree-four) vertices according to user requirements..
80. Voxel-based simulation of heat transfer between nasal airflow and mucosal vesseles.
81. Gaze-Directed Flow Visualization.
82. Kohei Okita, Kazuyasu Sugiyama, Kenji Ono, Shu Takagi, Yoichiro Matsumoto, Numerical study of the effective combination of microbubbles and ultrasound in HIFU therapy, 10th International Symposium on Therapeutic Ultrasound, ISTU 2010, 2011.10, The effective combination of microbubbles and ultrasound in HIFU therapy has been investigated through a numerical simulation. The equations for conservation of mass, momentum and energy are solved for a microbubble-infused mixture, and model HIFU therapy in the presence of microbubbles. The bubbles follow Rayleigh-Plesset equation, and are coupled with the mixture using the Euler-Lagrange method. The impacts of both the volume fraction due to the microbubbles and the amplitude of the ultrasound on the heat distribution are analyzed by using a two dimensional cylindrical simulation of the propagation of focused ultrasound (1MHz) through a mixture of bubbles 1.3mm in diameter. As the initial void fraction increased, the shape of the high temperature region was observed to change from cigar shape, to tadpole shaped, to cone shape. It was numerically confirmed that the temperature dramatically increased by means of inertial cavitation. The results show that the effectiveness of HIFU therapy increases with increased initial void fraction, as well as an input ultrasound amplitude above the threshold required for inertial cavitation..
83. Kohei Okita, Kenji Ono, Takagi Shu, Yoichiro Matsumoto, Multi-scale analysis on cavitation damage and its mitigation for the spallation neutron source, 4th International Conference on Computational Methods for Coupled Problems in Science and Engineering, COUPLED PROBLEMS 2011, 2011.06, Impact of injecting microbubbles on the thermal expansion due to the nuclear spallation reaction were examined numerically. Since the mercury density is higher than the density of solid wall, the interaction between mercury and solid wall must be taken into account. Our approach is to solve the momentum and energy conservation equations and the time development of elastic stress for both bubbly fluid and elastic solid. The Keller equation is employed to reproduce the nonlinear oscillation of bubble with considering the thermal dumping effect by the reduced order model. The continuum phase of liquid mercury is coupled with the discrete phase of microbubbles using the Euler-Lagrange method. As the results, the bubble cloud develops around the center of inertia of motion induced by the thermal expansion. The elasticity of the wall affects on the migration of the center of inertia away from the wall. The injection of microbubbles is effective to decrease the pressure rise due to thermal expansion for both rigid and elastic wall conditions when the void fraction of microbubbles is higher than the volume rate of thermal expansion of liquid mercury..
84. Kenji Ono, Yasuhiro Kawashima, Multicolor SOR method with consecutive memory access implementation in a shared and distributed memory parallel environment, 20th International Series of Meetings on Parallel Computational Fluid Dynamics, CFD 2008, 2011.01, Elliptic partial difference equations like Poisson's equation are used in many fields of application. However, the coefficientmatrix of the derived algebraic equation is large and sparse, and so its inversion is expensive. Various iterative methods are used to solve such a sparse matrix system. Although there have been many studies on solving the large sparse matrix system [1, 2, 3, 4, 5, 6, 7], there have been few reports on the implementation and performance of the iterative method with multicolor ordering. In this paper, a novel implementation technique to enhance the performance of the 2-colored SOR method is proposed, which eliminates the recursion for the standard 7-point stencil on the Cartesian grid in three dimensions. The performance of the multicolor SOR method is investigated on both a shared memory vector/parallel computer and a symmetric multiprocessor machine in a distributed memory environment..
85. Yuki Morimoto, Kenji Ono, Computer-generated tie-dyeing using a 3D diffusion graph, 6th International, Symposium on Visual Computing, ISVC 2010, 2010.12, Hand dyeing generates artistic representations with unique and complex patterns. The aesthetics of dyed patterns on a cloth originate from the physical properties of dyeing in the cloth and the geometric operations of the cloth. Although many artistic representations have been studied in the field of non-photorealistic rendering, dyeing remains a challenging and attractive topic. In this paper, we propose a new framework for simulating dyeing techniques that considers the geometry of the folded cloth. Our simulation framework of dyeing in folded woven cloth is based on a novel dye transfer model that considers diffusion, adsorption, and supply. The dye transfer model is discretized on a 3D graph to approximate the folded woven cloth designed by user interactions. We also develop new methods for dip dyeing and tie-dyeing effects. Comparisons of our simulated results with real dyeing demonstrate that our simulation is capable of representing characteristics of dyeing..
86. Yuki Morimoto, Kenji Ono, New cloth modeling for designing dyed patterns, ACM SIGGRAPH ASIA 2010 Posters, SA'10, 2010.12, We propose a novel cloth modeling method to simulate dyeing techniques. Morimoto et al. [2007] proposed a physics-based dyeing simulation method. To simulate dyeing techniques in conjunction with folded 3D cloth geometries, we developed a natural and intuitive method to generate cloth geometries. This method uses locally applied geometric operations for multiple dyed patterns on a cloth and a Voronoi diagram based stitching algorithm for cloth gathering. It is not intuitive to generate some folded cloth geometries with one cloth, due to the requisite complexity of the cloth geometry. Instead, we implemented a novel sketch-based interface to divide a cloth patch for local geometric operation and for independent stitching operations. Our method provide an intuitive design platform for dyeing patterns..
87. Akio Doi, Kenji Ono, Digital archiving of archaeological remains using X-ray CT, 10th WSEAS International Conference on Applied Computer Science, ACS'10, 2010.10, Various applications have been found for the ability to use computers to display the shape of archaeological objects, such as earthenware vessels, earthenware figurines and stone vessels. These applications include the technology used for creating survey maps, making precise measurements, preparing replicas and creating web content. However, since surface measurements are commonly conducted using lasers or with the stylus method, it is difficult to measure complex surfaces, internal configurations, thicknesses and volumes. In the present research, with regard to easily breakable earthenware vessels, earthenware figurines and stone vessels, we propose a method for easy storing of accurate 3D data obtained with an industrial X-ray computed tomography (CT) device. The 3D surface image obtained can be used for measuring the thickness and volume of earthenware vessels, for reproducing their shapes by using polygons, and for constructing high-resolution surface models. The present method has been utilized for measurements of actual archaeological objects, for the preparation of duplicates (replicas), and for the creation of web content, and its effectiveness has been verified..
88. Kei Akasaka, Kenji Ono, Development of rapid simulation method for automotive aerodynamics, ASME 2010 3rd Joint US-European Fluids Engineering Summer Meeting, FEDSM 2010 Collocated with 8th International Conference on Nanochannels, Microchannels, and Minichannels, 2010.08, Computational fluid dynamics (CFD) is now widely used as an essential tool in the development of automotive aerodynamics. However, the time required for repairing non-watertight geometries has recently become a serious problem in current CFD processes. Therefore, we developed an efficient simulation method that allows the flow around a non-watertight geometry to be computed on a Cartesian grid. This method can substantially reduce the turnaround time and effort required for CFD processes, because the repair work can be eliminated. The proposed method adopts an embedded boundary condition technique to capture arbitrary shapes more accurately on the background Cartesian grid. In addition, a local mesh refinement technique enables higher computational efficiency to be realized, and large-eddy simulation (LES) is used to reproduce high-Reynolds-number turbulent flow. Preliminary tests were performed on an engine bay configuration that had non-watertight geometries and a 1/5-scale model of an automobile configuration. As a result, the proposed method was confirmed to enable rapid grid generation and flow simulation around non-watertight geometries. Moreover, the computed results showed good agreement with experimental data..
89. Kohei Okita, Kazuyasu Sugiyama, Kenji Ono, Shu Takagi, Yoichiro Matsumoto, Numerical simulation of high intensity focused ultrasound therapy with volume model of human body, 9th International Symposium on Therapeutic Ultrasound, ISTU 2009, 2010.03, The development of the HIFU therapy for the deeply placed cancer has been desired. On problem is the displacement of the focal point due to the inhomogeneity of human body. The objectives are to realize the appropriate phase control of an array transducer and to support the preoperative planning of HIFU therapy by the computational prediction of treatment regions. Our approach is to solve the mass and momentum equations for mixture with the equation of state of media. The heat equation with a heat source of a viscous dissipation is solved to estimate the ablation region of tissue. The ablation, i.e., the heat denaturation of protein, is modeled as a phase transition by the phase field model. The HIFU therapy with a bowl-shape array transducer for a liver cancer is simulated. As the result with a phase control, we obtain a clear focus which is closer to a target point than the focus without a phase control, when the ultrasound propagates through lib bones. In addition, the development of the ablation region is reproduced numerically..
90. Takehiro Tawara, Kenji Ono, A framework for volume segmentation and visualization using augmented reality, IEEE Symposium on 3D User Interfaces 2010, 3DUI 2010, 2010.03, We propose a two-handed direct manipulation system to achieve complex volume segmentation of CT/MRI data in Augmented Reality with a remote controller attached to a motion tracking cube. At the same time segmented data is displayed by direct volume rendering using a programmable GPU. Our system achieves visualization of real time modification of volume data with complex shading including transparency control by changing transfer functions, displaying any cross section, and rendering multi materials using a local illumination model. Our goal is to build a system that facilitates direct manipulation of volumetric CT/MRI data for segmentation in Augmented Reality. Volume segmentation is a challenging problem and segmented data has an important role for visualization and analysis..
91. Yuki Morimoto, Kenji Ono, Computer-generated tie-dyeing pattern, ACM SIGGRAPH ASIA 2009 Posters, SIGGRAPH ASIA '09, 2009.12, We present a novel method to simulate tie-dyeing patterns considering 3D folded cloth geometry with user interaction. Morimoto et al. propose a dye transfer model that accounts for dyeing theories by considering parameters of weave structure, dyestuffs and cloth [Morimoto et al. 2007]. However this model does not consider a behavior of dye and distribution of protection against dyeing in 3D cloth geometry. We improve this model to consider 3D folded cloth geometry. In the process of tie-dyeing, cloth is folded and tied, and then dipped into dye bath. In a dyebath, the dyestuffs penetrate from the outside surface parts of folded cloth that are exposed to the dyebath directly. The other fluttery parts of the cloth possibly become the surface parts in the dyebath. Our method calculates such fluttery parts and the ratio to supply dyestuffs of the parts. Also, our dye diffusion model considers edges by folding cloth. This technique enables to obtain various tie-dyeing patterns from simple user inputs while it is difficult to predict the final figure of real tie-dyeing..
92. Takehiro Tawara, Kenji Ono, Direct 3D manipulation for volume segmentation using mixed reality, ACM SIGGRAPH ASIA 2009 Posters, SIGGRAPH ASIA '09, 2009.12, We propose a novel two-handed direct manipulation system to achieve complex volume segmentation of CT/MRI data in the real 3D space with a remote controller attached a motion tracking cube. At the same time segmented data is displayed by direct volume rendering using a programmable GPU. Our system achieves visualization of real time modification of volume data with complex shadings including transparency control by changing transfer functions, displaying any cross section and rendering multi materials using a local illumination model..
93. T. Tawara, Kenji Ono, An application of photo realisticwater surface interaction using mixed reality, 6th Workshop on Virtual Reality Interactions and Physical Simulations, VRIPHYS 2009, 2009.11, The Reality of Virtual Reality is affected by many research areas. Therefore, individual researches must be combined to achieve the extreme goal of Virtual Reality. In this paper, we present an application of the novel and clever combination of height field wave simulation, photo realistic rendering, and a 6DOF manipulator exploiting Augmented Reality. In our system, a user can touch a virtual water surface with a real pen attached a tracking cube in natural manners. We also take into account rendering optical effects like shadows and caustics, which give users a great deal of reality. We show how such a combination is important to achieve reality in the videos of our real time demonstrations..
94. Kenji Ono, Tsuyoshi Tamaki, Hiroyuki Yoshikawa, Development of a framework for parallel simulators with various physics and its performance, Parallel Computational Fluid Dynamics, Parallel CFD 2007, 2009.10.
95. An Approach of Visual System Diagnosis using Semantic Logs.
96. Influence of the heat coagulation of tissue on the acoustic field in the high intensity focused ultrasound therapy.
97. Development of the ultrasound propagation simulator using living body information.
98. Kenji Ono, Jorji Nonaka, Design of cooperative visualization environment with intensive data management in project lifecycle, 2008 Workshop on Ultrascale Visualization, UltraVis 2008, 2008.11, Scientific data processing and visualization of computational simulation data have played an important role in knowledge creation, and its transfer for the benefit of society, through scientific discovery and understanding of physical and chemical phenomena. Massively parallel processing architecture has greatly contributed to increase the computational power and to enlarge the scale of computation. This facilitated the generation of larger and larger amounts of data. To tackle this oncoming tsunami of data, we propose a post-processing system for large-scale data focusing on the idea that a postprocessing system needs to be an assistant of the researchers thinking process. We present a probable design solution targeting continuous development, and the technologies for productivity improvement such as collaborative work and visualization. This paper describes the current development status of a postprocessing system designed for the next-generation 10-petaflop supercomputer under development in Japan..
99. Development of numerical techniques for the assistance of high intensity focused ultrasound therapy.
100. Hiroshi Terashima, Kenji Ono, Reliability of compressible flow/structure coupling method on Cartesian grid with signed distance field, 2007 5th Joint ASME/JSME Fluids Engineering Summer Conference, FEDSM 2007, 2007.07, A compressible flow solver coupled with moving/deformed geometries on Cartesian grid with Signed Distance Field (SDF) is developed and its capability is investigated through computations of several basic flow fields for future applications with certain reliability. The flow solver is designed so that SDF includes sufficient geometrical information to compute flow fields. Since information of moving/deformed geometries is recognized as a change of the SDF between time steps, the flow solver can be coupled with moving/deformed geometries naturally. The implementation of this solver is simple and easy. No modification is needed in the main part of the flow solver. Furthermore, the interpolation and the corresponding stencils searching process are not required. Several basic flow fields around fixed/moving cylinders and a fixed sphere are computed in order to validate the proposed solver, in which the computed results are compared with available numerical and experimental results. The results demonstrated the method's capability for moderate Reynolds number flows around both of fixed and moving geometries. Based on the results, some criteria and problems for obtaining reliable solution are suggested..
101. Implementation of pFTT data structure to a library and performance evaluation.
102. Voxel based simulation with implicit function centered shape representation.
103. Voxel Based Thermal Fluid Analysis Using Implicit Function.
104. Hiroshi Terashima, Kenji Ono, Transonic aeroelastic computations of a delta wing configuration with high fidelity equations, 4th International Conference on Computational Fluid Dynamics, ICCFD 2006, 2006.07.
105. B206 The Blood flow simulation of the head blood vessel, based on the medical image.
106. Moving Boundary Handling in Cartesian Based Flow Solver Using Implicit Function.
107. D. Watanabe, X. Mao, Kenji Ono, A. Imamiya, Gaze-directed streamline seeding, Proceedings - 1st Symposium on Applied Perception in Graphics and Visualization, APGV 2004, 2004.08, A gaze-directed streamline seeding technique technique based on eye-tracking data is discussed. The process starts by asking a user to observe the LIC image of a 2D flow field for a few seconds. The data from eye-tracker are analyzed to obtain a set of fixations {fix i = (s i, y i, t i) i ∈ [1...]} with (x i, y i) being the position and t i, and the duration i. Fixations are depicted with the circles, with their centers being the position of fixation and their radius representing the duration..
108. Characteristics of Water Mist Fire Suppression Analysed by Numerical Calculation of Gas-Droplet Flow.
109. Gabriel G. Rosa, Eric B. Lum, Kwan Liu Ma, Kenji Ono, An interactive volume visualization system for transient flow analysis, Volume Graphics 2003, Third Intenational Workshop on Volume Graphics, 2003.07, This paper describes the design and performance of an interactive visualization system developed specifically for improved understanding of time-varying volume data from thermal flow simulations for vehicle cabin and ventilation design. The system uses compression to allows for better memory utilization and faster data transfer, hardware accelerated rendering to enable interactive exploration, and an intuitive user interface to support comparative visualization. In particular, the interactive exploration capability offered by the system raises scientists to a new level of insight and comprehension. Compared to a previous visualization solution, such a system helps scientists more quickly identify and correct design problems..
110. Nobuyuki Taniguchi, Kenji Ono, Kazuto Ikeda, Toshio Yamada, Toru Komariya, Validation of CFD commercial codes for vehicle design and development, SAE 2002 World Congress, 2002.12, This paper reviews a validation project on CFD commercial codes organized by Society of Automobile Engineers of Japan (JSAE) in 2001. As benchmark problems, four major objects of vehicle flow design are selected for Vehicle aerodynamics, Engine cylinder flow, Air-conditioning and Defroster duct flow. 14 titles of commercial software sold in Japan are applied to these problems. The results of each problem are compared with reference experimental data and evaluated in vi ews of vehicle design and development. Feasibility of auto-meshing techniques and computation cost in recent hardware are also discussed..
111. Unsteady Two-Dimensional CFD Analysis of Flow around a Circular Cylinder.
112. Kenji Ono, Ryutaro Himeno, Katsuro Fujitani, Yutaka Uematsu, Simultaneous computation of the external flow around a car body and the internal flow through its engine compartment, International Congress and Exposition, 1992.12, Both the external and internal flows of cars are simulated simultaneously. A third-order upwind-difference scheme is used in these simulations. Computational grids are generated by a multi-block transformation and a trans-finite method. Engine compartments are modeled by grid systems but the heat exchanger is simulated as a pressure loss proportional to the dynamic pressure of the flow passing through it. First, the flow for a very simple test model with no wheels and nothing in its engine compartment is simulated and compared with experimental results in order to validate a simulation method for the engine compartment. Pressure distributions on the inner surfaces agree very well with measured values, while pressure distributions on the external surfaces show reasonable agreement except for the roof end and the leading edge of the floor. The predicted drag coefficient is 7% larger than the experimental value. This method is next applied to a prototype car. A grid system is generated including an engine block, a transmission, an air-cleaner and suspension arms. Both the drag coefficient and the airflow rate through the radiator are calculated. These values are compared with experimental results and the agreement is good. We conclude that the present method is quite useful for predicting and optimizing both the drag coefficient and the airflow rate through the radiator..