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Journal Articles

First observation of $$^{28}$$O

Kondo, Yosuke*; Achouri, N. L.*; Al Falou, H.*; Atar, L.*; Aumann, T.*; Baba, Hidetada*; Boretzky, K.*; Caesar, C.*; Calvet, D.*; Chae, H.*; et al.

Nature, 620(7976), p.965 - 970, 2023/08

no abstracts in English

Journal Articles

Performance evaluation of runtime data exploration framework based on in-situ particle based volume rendering

Kawamura, Takuma; Noda, Tomoyuki; Idomura, Yasuhiro

Supercomputing Frontiers and Innovations, 4(3), p.43 - 54, 2017/07

AA2017-0206.pdf:3.74MB

We examine the performance of the in-situ data exploration framework based on the in-situ Particle Based Volume Rendering (In-Situ PBVR) on the latest many-core platform. In-Situ PBVR converts extreme scale volume data into small rendering primitive particle data via parallel Monte-Carlo sampling without costly visibility ordering. This feature avoids severe bottlenecks such as limited memory size per node and significant performance gap between computation and inter-node communication. In addition, remote in-situ data exploration is enabled by asynchronous file-based control sequences, which transfer the small particle data to client PCs, generate view-independent volume rendering images on client PCs, and change visualization parameters at runtime. In-Situ PBVR shows excellent strong scaling with low memory usage up to about 100k cores on the Oakforest-PACS, which consists of 8,208 Intel Xeon Phi7250 (Knights Landing) processors.

Journal Articles

In-situ visual exploration of multivariate volume data based on particle based volume rendering

Kawamura, Takuma; Noda, Tomoyuki; Idomura, Yasuhiro

Proceedings of 2nd Workshop on In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization (ISAV 2016) (Internet), p.18 - 22, 2016/11

 Times Cited Count:9 Percentile:90.92

A novel in-situ online visualization framework is developed based on the Particle Based Volume Rendering (PBVR), which renders multivariate volume data using view-independent particle data. Our online approach enables visualization of particle data with interactive view exploration and changes of multi-dimensional transfer functions at runtime. The runtime visualization show excellent strong scaling up to thousands of cores, and its computational cost is small. These features enable flexible in-situ data exploration for monitoring extreme scale simulations. The utility of the proposed framework is demonstrated by applying it to simulations of molten debris relocation in reactor pressure vessels using the JUPITER code.

Journal Articles

Planning of in-situ experiment for understanding of gas migration behaviour in sedimentary rock, 1; Setting of gas injection procedure

Tanai, Kenji; Fujita, Tomoo; Noda, Masaru*; Yamamoto, Shuichi*; Shimura, Tomoyuki*; Sato, Shin*

Dai-13-Kai Iwa No Rikigaku Kokunai Shimpojiumu Koen Rombunshu (CD-ROM), p.167 - 172, 2013/01

Japan Atomic Energy Agency has been planning in-situ gas migration test in Horonobe URL, Hokkaido. This paper discusses the optimum gas injection procedure for the test to understand gas migration behaviour in surrounded rock. The stepwise constant gas injection was selected, taking into account domestic and overseas gas related research results. Hydro-mechanical-gas coupling analysis which is able to consider the dissolved methane in Horonobe groundwater was applied to evaluate the gas behaviour. The results have indicated no significant mechanical damages to the rock and have supported the sppropriateness of selected gas injection procedure for the test.

Journal Articles

Planning of in-situ experiment for understanding of gas migration behaviour in sedimentary rock, 2; Affects of dissolved methane to the gas migration in bedrock

Tanai, Kenji; Fujita, Tomoo; Sato, Shin*; Noda, Masaru*; Yamamoto, Shuichi*; Shimura, Tomoyuki*

Dai-13-Kai Iwa No Rikigaku Kokunai Shimpojiumu Koen Rombunshu (CD-ROM), p.173 - 178, 2013/01

Japan Atomic Energy Agency has been planning ${it in-situ}$ gas migration test in Horonobe URL, Hokkaido. It is expected that dissolved methane in Horonobe groundwater might have an effect on gas migration behaviour in bedrock. A series of two-phase multi-component analyses by use of GETFLOWS were conducted to understand the influence of dissolved methane. The increase of total gas pressure has been shown due to the existence of dissolved methane. The results also indicated that the injected nitrogen gas volume was influenced by dissolved methane.

Journal Articles

Celebration of 30th anniversary of the experimental fast reactor Joyo

Nakai, Satoru; Aoyama, Takafumi; Ito, Chikara; Yamamoto, Masaya; Iijima, Minoru; Nagaoki, Yoshihiro; Kobayashi, Atsuko; Onoda, Yuichi; Ohgama, Kazuya; Uwaba, Tomoyuki; et al.

Kosoku Jikkenro "Joyo" Rinkai 30-Shunen Kinen Hokokukai Oyobi Gijutsu Koenkai, 154 Pages, 2008/06

no abstracts in English

Oral presentation

Study on in-situ experiment for understanding of gas behavior, 1; Suggestion on experimental dimension by means of TFP model

Noda, Masaru*; Yamamoto, Shuichi*; Shimura, Tomoyuki*; Sato, Shin*; Tanai, Kenji; Fujita, Tomoo

no journal, , 

no abstracts in English

Oral presentation

Study on in-situ experiment for understanding of gas behavior, 2; H-M coupling effect on near field due to generated gas migration

Sato, Shin*; Yamamoto, Shuichi*; Noda, Masaru*; Shimura, Tomoyuki*; Fujita, Tomoo; Tanai, Kenji

no journal, , 

no abstracts in English

Oral presentation

Technical support for planning and installation of simple ground repository; FY2011 status of support activities for promotion of decontamination in the Fukushima Environmental Safety Center, JAEA

Abe, Hironobu; Ikeda, Koki; Mikake, Shinichiro; Nagasaki, Yasushi; Niizato, Tadafumi; Asazuma, Shinichiro; Aoki, Isao; Ishikawa, Nobuyuki; Ishikawa, Hiroyasu; Ishizaki, Nobuhiro; et al.

no journal, , 

no abstracts in English

Oral presentation

Planning of in-situ experiment for understanding of gas migration behavior in sedimentary rock,1; Planning of the experiment and setting of boundary condition

Tanai, Kenji; Fujita, Tomoo; Noda, Masaru*; Yamamoto, Shuichi*; Shimura, Tomoyuki*; Sato, Shin*

no journal, , 

no abstracts in English

Oral presentation

Planning of in-situ experiment for understanding of gas migration behavior in sedimentary rock, 2; Evaluation of the effects of methane dissolved in the bedrock

Fujita, Tomoo; Tanai, Kenji; Shimura, Tomoyuki*; Noda, Masaru*; Yamamoto, Shuichi*; Sato, Shin*

no journal, , 

no abstracts in English

Oral presentation

JAEA's technical experiences and lessons learned for environmental remediation of Fukushima, 4; Technical supports for local governments

Sudo, Tomoyuki; Ishikawa, Hiroyasu; Uesaka, Takahiro*; Sonoda, Takashi; Ishikawa, Nobuyuki*; Niizato, Tadafumi; Mikake, Shinichiro; Aoki, Isao; Ishizaki, Nobuhiro; Imamura, Hiroaki; et al.

no journal, , 

JAEA is working the decontamination activity for the environmental remediation of Fukushima. In this activity, I support the decontamination activity for local governments to devise a decontamination plan and actually decontaminate. In this report, 1 introduce the technical knowhow for the decontamination activity of a house.

Oral presentation

JAEAs technical experiences and lessons learned for environmental remediation of Fukushima

Aoki, Isao; Asazuma, Shinichiro; Sudo, Tomoyuki; Komiya, Tomokazu; Nakamura, Masahiko; Uchida, Shinichi; Kozawa, Masachiyo; Sonoda, Takashi; Mikake, Shinichiro; Ikeda, Koki; et al.

no journal, , 

JAEAs technical experiences and lessons learned for environmental remediationof Fukushima. (Technical supports for local governments)

Oral presentation

Investigation of inspection method of centralized air sampling device for radiation protection

Yoshida, Keisuke; Yamada, Katsunori; Yoda, Tomoyuki; Tsunoda, Junichi; Muto, Yasushi; Kobayashi, Makoto; Kikuchi, Masamitsu

no journal, , 

no abstracts in English

Oral presentation

Interactive in-situ visualization of molten debris relocation simulation using particle-based visualization

Kawamura, Takuma; Noda, Tomoyuki; Idomura, Yasuhiro

no journal, , 

Expanding scales of nuclear simulations make In-Situ visualization more important. In-Situ visualization generates visualization images simultaneously as simulations on the same computing environment. However, in the conventional In-Situ visualization, visualization failure often occurs because of visualization parameters such as a view point, color, and opacity, which are prescribed before batch simulations. To resolve this issue, we developed In-Situ visualization framework, which enables interactive change of visualization parameters using particle data instead of images. Massively parallel particle generation processes are computed without changing domain decomposition models in simulations, and the size of the particle data is compressed small enough than that of the original data. A daemon program transfers the compressed particle data to a client PC, and it also set visualization parameters received from a client PC. We applied the developed tool to simulations of molten debris relocation in reactor pressure vessels using the multi-phase CFD code JUPITER, and the interactive visualization and analysis were enabled without degradation of the simulation performance.

Oral presentation

Cross-platform In-Situ visualization system for runtime data exploration based on PBVR

Kawamura, Takuma; Noda, Tomoyuki; Idomura, Yasuhiro

no journal, , 

We examine the performance portability of the In-Situ visualization system based on the Particle Based Volume Rendering (In-Situ PBVR). In this system, parallelized In-Situ processing converts extreme scale volume data into small rendering primitive data given by particles without costly visibility ordering, and the small particles can be rendered as view-independent volume rendering image on client user PC. These features enable us to avoid severe bottlenecks on latest many core platforms such as limited memory size per node and significant performance gap between computation and inter-node communication. The system shows excellent strong scaling up to about 50k threads on the Oakforest-PACS, which consists of 8,208 Intel Xeon Phi7250 (Knights Landing) processors. Asynchronous file based control sequences are designed to enable interactive and remote in-situ data exploration without interfering this strong scaling.

16 (Records 1-16 displayed on this page)
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