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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
Kawamura, Takuma; Noda, Tomoyuki; Idomura, Yasuhiro
Supercomputing Frontiers and Innovations, 4(3), p.43 - 54, 2017/07
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.
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:90.92A 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.
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.
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 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.
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
Noda, Masaru*; Yamamoto, Shuichi*; Shimura, Tomoyuki*; Sato, Shin*; Tanai, Kenji; Fujita, Tomoo
no journal, ,
no abstracts in English
Sato, Shin*; Yamamoto, Shuichi*; Noda, Masaru*; Shimura, Tomoyuki*; Fujita, Tomoo; Tanai, Kenji
no journal, ,
no abstracts in English
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
Tanai, Kenji; Fujita, Tomoo; Noda, Masaru*; Yamamoto, Shuichi*; Shimura, Tomoyuki*; Sato, Shin*
no journal, ,
no abstracts in English
Fujita, Tomoo; Tanai, Kenji; Shimura, Tomoyuki*; Noda, Masaru*; Yamamoto, Shuichi*; Sato, Shin*
no journal, ,
no abstracts in English
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.
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)
Yoshida, Keisuke; Yamada, Katsunori; Yoda, Tomoyuki; Tsunoda, Junichi; Muto, Yasushi; Kobayashi, Makoto; Kikuchi, Masamitsu
no journal, ,
no abstracts in English
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.
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.