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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 58  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
RECONF, VLD, CPSY, IPSJ-ARC, IPSJ-SLDM [detail] 2022-01-25
09:30
Online Online GPU acceleration of algorithm for minimal distance approximate calculation between two objects
Masumi Fukuta, Takakazu Kurokawa, Takashi Matsubara, Keisuke Iwai (NDA) VLD2021-62 CPSY2021-31 RECONF2021-70
(To be available after the conference date) [more] VLD2021-62 CPSY2021-31 RECONF2021-70
pp.73-77
MBE, NC, NLP, CAS
(Joint) [detail]
2020-10-29
13:30
Online Online Optimization of GPU-accelerated simulation for MRI diffusion signal
Kazuhiro Nakamura, Toshibumi Kinoshita (Akita Noken) MBE2020-15
In the MRI diffusion simulation for cerebral blood vessels effects, the calculation time is tended to long when a adequa... [more] MBE2020-15
pp.15-18
MI 2020-09-03
15:10
Online Online Medical Image Processing on Nagoya University Super Computer System "Flow"
Satoshi Ohshima, Masahiro Oda, Takahiro Katagiri, Kensaku Mori (Nagoya Univ.) MI2020-32
New supercomputer named "Flow" began service at July 1st, 2020 at Information Technology Center of Nagoya University. "F... [more] MI2020-32
pp.69-74
VLD, DC, CPSY, RECONF, CPM, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC
(Joint) [detail]
2017-11-07
16:00
Kumamoto Kumamoto-Kenminkouryukan Parea [Invited Talk] Researchs on high-speed and efficient Deep Learning technologies
Takuya Fukagai, Koichi Shirahata, Yasumoto Tomita, Tetsutaro Hashimoto, Atsushi Ike, Masafumi Yamazaki, Akihiko Kasagi, Tsuguchika Tabaru (Fujitsu Lab. Ltd.), Liuan Wang, Song Wang, Li Sun, Jun Sun (FRDC) CPM2017-86 ICD2017-45 IE2017-71
Fujitsu laboratories have been doing Research and Development on AI technologies called "Human Centric AI Zinrai".

We... [more]
CPM2017-86 ICD2017-45 IE2017-71
pp.39-41
ITS, IPSJ-ITS, IEE-ITS 2017-09-05
10:00
Toyama Toyama Institute of Information Systems Acceleration of self-localization of autonomous AGV using image composition by GPGPU on a mobile terminal
Yuki Higa, Hiroyuki Sato (Iwate Prefectural Univ.) ITS2017-11
Recording the position of the AGV (Automated Guided Vehicle) in the bird's-eye view image using image processing is an e... [more] ITS2017-11
pp.53-58
CPSY, DC, IPSJ-ARC
(Joint) [detail]
2017-07-26
11:45
Akita Akita Atorion-Building (Akita) Preliminary evaluation of large-scale computer-generated hologram computation time by using multi-GPU cluster
Shinpei Watanabe (Utsunomiya Univ.), Boaz-Jessie Jackin (NICT), Takeshi Ohkawa, Kanemitsu Ootsu, Takashi Yokota, Yoshio Hayasaki, Toyohiko Yatagai, Takanobu Baba (Utsunomiya Univ.) CPSY2017-20
Computer generated hologram (CGH) is a technology for realizing 3D displays. Large-scale CGH has
a merit that it resolv... [more]
CPSY2017-20
pp.25-30
EMT, IEE-EMT 2017-06-02
13:00
Tokyo Nihon University Realtime 3D image reconstruction methods based on compressive sensing with CUDA support
Iakov Chernyak, Motoyuki Sato (Tohoku Univ.) EMT2017-3
We developed a number of GPU optimized 3D radar image reconstruction algorithms and applied it for the 3D sparse array r... [more] EMT2017-3
pp.19-24
MBE, NC
(Joint)
2016-11-18
15:55
Miyagi Tohoku University GPGPU-accelerated simulation and accuracy evaluation for various neuron models
Shun Okuno (UEC), Kazuhisa Fujita (NIT), Yoshiki Kashimori (UEC) NC2016-32
To understand the processing mechanisms of sensory information in the brain, it is necessary to simulate a huge size of ... [more] NC2016-32
pp.1-6
LQE, OPE, OCS 2016-10-27
15:35
Miyazaki Miyazaki Citizen's Plaza GPU calculation of transmitted field for Fiber Bragg Grating
Angger Abdul Razak, Mitsuhiro Yokota (Univ. of Miyazaki) OCS2016-42 OPE2016-83 LQE2016-58
Results of FBG transmission properties from two and three-dimensional case show a slight difference in center of reflect... [more] OCS2016-42 OPE2016-83 LQE2016-58
pp.43-48
MBE, NC
(Joint)
2016-03-23
13:35
Tokyo Tamagawa University GPGPU-accelerated simulation of a sensory stimulus and neural activity
Kazuhisa Fujita (INCT/ UEC), Yuki Abe, Koya Onodera, Yoshiki Kashimori (UEC) NC2015-84
It is important to know details of a sensory stimulus for understanding a nervous system. However, it is difficult to me... [more] NC2015-84
pp.83-88
IE, IMQ, MVE, CQ
(Joint) [detail]
2016-03-07
15:20
Okinawa   [Poster Presentation] Parallel processing of implicit function rendering on Web browser
Kunihito Kuwabara, Hirokazu Murao (UEC) IMQ2015-53 IE2015-152 MVE2015-80
WebGL is an API for 3D computer graphics on cross-platform Web browsers, which enables it us to access to GPU and to rea... [more] IMQ2015-53 IE2015-152 MVE2015-80
pp.139-144
MI 2016-01-19
13:20
Okinawa Bunka Tenbusu Kan Development of a optimization method for dose distribution of proton beam scanning
Akira Sano (MHIR), Teiji Nishio (Hiroshima Univ.), Makiko Suitani, Takeshi Nagata, Hidemasa Maekawa (MHIR), Akito Saito (Hiroshima Univ. Hospital), Shigeto Kabuki (Tokai Univ.), Yasushi Nagata (Hiroshima Univ.) MI2015-91
Optimization of dose distribution to the tumor and critical organs in the proton beam scanning therapy takes long time b... [more] MI2015-91
pp.87-91
VLD, DC, IPSJ-SLDM, CPSY, RECONF, ICD, CPM
(Joint) [detail]
2015-12-03
11:15
Nagasaki Nagasaki Kinro Fukushi Kaikan Construction and Evaluation of Three-Dimensional Heat Transfer Simulator for LSI Packages
Shougo Watanabe, Takashi Omura, Yuki Kitagawa, Lei Lin, Lin Meng, Masahiro Fukui (Ritsumeikan Univ.) VLD2015-64 DC2015-60
In this study, we consider the thermal distribution in three-dimensional, and we tried the efficiency of analytical calc... [more] VLD2015-64 DC2015-60
pp.171-176
ISEC 2015-09-04
11:20
Tokyo Kikai-Shinko-Kaikan Bldg. High speed implementation of Hash function on GPU
Nguyen Dat Thuong, Keisuke Iwai, Hidema Tanaka, Takakazu Kurokawa (NDA) ISEC2015-27
In order to protect the personal information and high confidential information, encryption technology and hash function ... [more] ISEC2015-27
pp.15-19
RECONF 2015-06-19
14:10
Kyoto Kyoto University High Speed Calculation of Convex Hull in 2D Images using FPGA
Kahori Kemmotsu, Kenji Kanazawa, Yamato Mori (Univ. of Tsukuba), Noriyuki Aibe (SUSUBOX), Moritoshi Yasunaga (Univ. of Tsukuba) RECONF2015-7
Given a set of points, a convex hull is the smallest convex polygon containing all the points. In this paper, we describ... [more] RECONF2015-7
pp.35-40
IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2015-02-23
11:00
Hokkaido Hokkaido Univ. Dual GPU Acceleration of Compute Engine in Full Motion Simulator for Holographic Memory
Hisatoshi Funakoshi (Gifu Univ.), Atsushi Okamoto (Hokkaido Univ.)
We have developed a high-speed full motion simulator for holographic memory systems by using general-purpose computing o... [more]
SIP, RCS 2015-01-23
09:15
Okayama Okayama Univ. An Accelerated design of FIR Filters with CSD Coefficient based on Branch and Bound Method using GPU
Jun Osima, Yosuke Sugiura, Naoyuki Aikawa (TUS) SIP2014-100 RCS2014-288
In this paper,we study a design method for FIR filter with Canonic Signed-Digit(CSD) coefficient by using Graphics Proce... [more] SIP2014-100 RCS2014-288
pp.113-116
CPSY, DC
(Joint)
2014-07-28
17:50
Niigata Toki Messe, Niigata Auto Program Tuning for Improving Utilization of GPU Resources
Ryo Takeshima, Tomoaki Tsumura (Nagoya Inst. of Tech.) CPSY2014-15
Utilizing a GPU to perform general purpose computation is called GPGPU. The high theoretical performance of GPU draws at... [more] CPSY2014-15
pp.31-36
CPSY, DC
(Joint)
2014-07-29
15:40
Niigata Toki Messe, Niigata Consideration of 2D-FFT by Decomposition of Large Scale Data on Multi-GPU
Hiroaki Miyata, BoazJessie Jackin, Takeshi Ohkawa, Kanemitsu Ootsu, Takashi Yokota, Yoshio Hayasaki, Toyohiko Yatagai, Takanobu Baba (Utsunomiya Univ.) CPSY2014-27
Acceleration for Fast Fourier Transform (FFT) of large computation is an important issue.
Until today, acceleration fo... [more]
CPSY2014-27
pp.103-108
CPSY, DC
(Joint)
2014-07-29
16:05
Niigata Toki Messe, Niigata Matrix Multiplication Library for Computation Acceralator with Limited Own Memory Size
Kiyotaka Atsumi (KA-LAB) CPSY2014-28
Recent researches of algorithms with calculation accelerators mainly
use 1 device or 2 or more same devices. It changed... [more]
CPSY2014-28
pp.109-112
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