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Collaborative Laboratories for Advanced Decommissioning Science; Okayama University*
JAEA-Review 2023-038, 48 Pages, 2024/03
JAEA-Review-2023-038.pdf:2.58MB
The Collaborative Laboratories for Advanced Decommissioning Science (CLADS), Japan Atomic Energy Agency (JAEA), had been conducting the Nuclear Energy Science & Technology and Human Resource Development Project (hereafter referred to "the Project") in FY2022. The Project aims to contribute to solving problems in the nuclear energy field represented by the decommissioning of the Fukushima Daiichi Nuclear Power Station, Tokyo Electric Power Company Holdings, Inc. (TEPCO). For this purpose, intelligence was collected from all over the world, and basic research and human resource development were promoted by closely integrating/collaborating knowledge and experiences in various fields beyond the barrier of conventional organizations and research fields. The sponsor of the Project was moved from the Ministry of Education, Culture, Sports, Science and Technology to JAEA since the newly adopted proposals in FY2018. On this occasion, JAEA constructed a new research system where JAEA-academia collaboration is reinforced and medium-to-long term research/development and human resource development contributing to the decommissioning are stably and consecutively implemented. Among the adopted proposals in FY2022, this report summarizes the research results of the "Embedded system using a radiation-hardened processor" conducted in FY2022. The present study aims to be developing a radiation-hardened optoelectronic processor with a 10 MGy total-ionizing-dose (TID) tolerance, a radiation-hardened processor without any optical component with a 4 MGy TID tolerance, a radiation-hardened memory with a 4 MGy TID tolerance, and a radiation-hardened power supply unit with a 1 MGy TID tolerance. Moreover, Japanese research group will support radiation- hardened field programmable gate arrays, power supply units, and radiation-hardened optical systems for radiation-hardened robot systems and radiation sensor systems developed by UK team.
Asahi, Yuichi*; Latu, G.*; Bigot, J.*; Maeyama, Shinya*; Grandgirard, V.*; Idomura, Yasuhiro
Concurrency and Computation; Practice and Experience, 32(5), p.e5551_1 - e5551_21, 2020/03
Times Cited Count：1 Percentile：11.98(Computer Science, Software Engineering)Two five-dimensional gyrokinetic codes GYSELA and GKV were ported to the modern accelerators, Xeon Phi KNL and Tesla P100 GPU. Serial computing kernels of GYSELA on KNL and GKV on P100 GPU were respectively 1.3x and 7.4x faster than those on a single Skylake processor. Scaling tests of GYSELA and GKV were respectively performed from 16 to 512 KNLs and from 32 to 256 P100 GPUs, and data transpose communications in semi-Lagrangian kernels in GYSELA and in convolution kernels in GKV were found to be main bottlenecks, respectively. In order to mitigate the communication costs, pipeline-based and task-based communication overlapping were implemented in these codes.
Yokokawa, Mitsuo; Saito, Minoru*; Hagiwara, Takashi*; Isobe, Yoko*; Jinguji, Satoshi*
Nihon Keisan Kogakkai Rombunshu, 4, p.31 - 36, 2002/00
Earth simulator is a distributed memory parallel system which consists of 640 processor nodes connected by a full crossbar network. Each processor node is a shared memory system which is composed of eight vector processors. The total peak performance and main memory capacity are 40Tflops and 10TB, respectively. A performance prediction system GS
for the Earth Simulator has been developed to estimate sustained performance of programs. To validate accuracy of vector performance prediction by the GS, the processing times for three groups of kernel loops estimated by the GS are compared with the ones measured on SX-4. It is found that the absolute relative errors of the processing time are 0.89%,1.42% and 6.81% in average for three groups. The sustained performance of three groups on a processor of the Earth Simulator have been estimated by the GS and those performance are 5.94Gflops,3.76Gflops and 2.17Gflops in average.
Koide, Hiroshi; Suzuki, Mitsugu*; Nakayama, Yasuichi*
Concurrency; Practice and Experience, 9(9), p.897 - 914, 1997/09
Times Cited Count：0 Percentile：0.02(Computer Science, Software Engineering)no abstracts in English
Proc. of Joint Int. Conf. on Mathematical Methods and Supercomputing for Nuclear Applications, 1, p.3 - 16, 1997/00
no abstracts in English
Higuchi, Kenji; ;
Journal of Nuclear Science and Technology, 32(10), p.953 - 964, 1995/10
Times Cited Count：1 Percentile：17.33(Nuclear Science & Technology)no abstracts in English
Higuchi, Kenji; ; ; ; Tokuda, Shinji; ; ;
Comput. Assist. Mech. Eng. Sci., 1, p.191 - 204, 1994/00
no abstracts in English
Anoda, Yoshinari; ; ; ; ;
JAERI-M 91-151, 51 Pages, 1991/09
no abstracts in English
; Minami, Kazuyoshi*; ; Masukawa, Fumihiro; Naito, Yoshitaka
Joho Shori Gakkai Kenkyu Hokoku, 91(61), p.25 - 32, 1991/07
no abstracts in English
Int. J. Supercomputer Appl., 5(3), p.46 - 62, 1991/00
Times Cited Count：1 Percentile：51.21(Computer Science, Hardware & Architecture)no abstracts in English
; Higuchi, Kenji;
JAERI-M 90-135, 54 Pages, 1990/08
no abstracts in English
; ; Akino, Norio
Nihon Kikai Gakkai Rombunshu, B, 53(485), p.241 - 249, 1987/00
no abstracts in English
; Tsunematsu, Toshihide; Takeda, Tatsuoki
JAERI-M 86-159, 32 Pages, 1986/11
no abstracts in English
Asai, Kiyoshi
Genshiryoku Kogyo, 31(10), p.15 - 18, 1985/00
no abstracts in English
; ;
Nihon Genshiryoku Gakkai-Shi, 25(3), p.164 - 171, 1983/00
Times Cited Count：1 Percentile：22.34(Nuclear Science & Technology)no abstracts in English
JAERI-M 82-200, 111 Pages, 1982/12
no abstracts in English
Takeda, Tatsuoki; Tsunematsu, Toshihide;
JAERI-M 82-097, 64 Pages, 1982/08
no abstracts in English
;
JAERI-M 9719, 71 Pages, 1981/10
no abstracts in English
Kumahara, Tadashi
Denshi Kogyo Geppo, 22(3), p.44 - 49, 1980/00
no abstracts in English
Hoken Butsuri, 15(4), p.269 - 276, 1980/00
no abstracts in English
