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All Technical Committee Conferences (Searched in: All Years)
| 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 |
| IPSJ-SLDM, RECONF, VLD, CPSY, IPSJ-ARC [detail] | 2020-01-24 11:25 |
Kanagawa | Raiosha, Hiyoshi Campus, Keio University | Implementation of high speed rainbow table generation using Keccak hashing algorithm on CUDA Nguyen Dat Thuong, Keisuke Iwai, Takashi Matsubara, Takakazu Kurokawa (NDA) VLD2019-84 CPSY2019-82 RECONF2019-74 |
This paper proposes the implementation of high speed rainbow table generation using Keccak hashing algorithm with the in... [more] | VLD2019-84 CPSY2019-82 RECONF2019-74 pp.181-186 |
| CPSY | 2017-11-19 15:00 |
Aomori | Aomori Tourist Information Center, ASPAM | [Poster Presentation]
SPH-based Fluid Simulation on GPU using Subdivided Cells Hiroto Nakai, Tomoki Nitta, Kazuhiko Ohno (Mie Univ.) CPSY2017-50 |
(To be available after the conference date) [more] | CPSY2017-50 p.1 |
| 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 10:45 |
Akita | Akita Atorion-Building (Akita) | A GPU Implementation of Computing the Voronoi Map and the Euclidean Distance Map Hiroaki Honda, Takumi Honda, Shinnosuke Yamamoto, Koji Nakano, Yasuaki Ito (Hiroshima Univ.) CPSY2017-18 |
The main contribution of this paper is to present simple and fast parallel algorithms for computing complete/connected V... [more] | CPSY2017-18 pp.13-18 |
| CPSY, DC, IPSJ-ARC (Joint) [detail] |
2017-07-26 11:15 |
Akita | Akita Atorion-Building (Akita) | An Efficient GPU Implementation of Computing the Summed Area Table Yutaro Emoto, Takumi Honda, Koji Nakano, Yasuaki Ito (Hiroshima Univ.) CPSY2017-19 |
The main contribution of this paper is to show an efficient GPU implementation of computing the summed area table. Exist... [more] | CPSY2017-19 pp.19-24 |
| CPSY, DC, IPSJ-ARC (Joint) [detail] |
2017-07-28 11:15 |
Akita | Akita Atorion-Building (Akita) | Avoiding redundant data transfer on GPU-enabled Apache Spark Ryo Asai, Masao Okita, Kenichi Hagihara (Osaka Univ.) CPSY2017-33 |
Apache Spark is a fast and general engine for parallel distributed processing on PC cluster. IBMSparkGPU is a Spark plug... [more] | CPSY2017-33 pp.185-190 |
| 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 |
| MI | 2017-01-18 14:15 |
Okinawa | Tenbusu Naha | GPU Programming for MIST Library Hirohisa Oda, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka (Aichi. Inst. Tech.), Kensaku Mori (Nagoya Univ.) MI2016-106 |
In recent years, there is a trend toward the development of high-speed computation techniques due to the improvement in ... [more] | MI2016-106 pp.133-136 |
| CPSY, IPSJ-ARC | 2016-10-06 10:00 |
Chiba | Makuhari-messe | [Poster Presentation]
A GPU Implementation of Eigenvalue Computation for a Large Number of Matrices Hiroki Tokura, Takumi Honda, Yasuaki Ito, Koji Nakano, Mitsuya Nishino, Yushiro Hirota, Masami Saeki (Hiroshima Univ.) CPSY2016-45 |
The computation of eigenvalues of a matrix has a lot of applications in the field of science and engineering such as ima... [more] | CPSY2016-45 pp.13-18 |
| PRMU, IE, MI, SIP | 2016-05-20 15:10 |
Aichi | Fast implementation of Gaussian filter by parallel processing of Binomial filter Takahiro Yano, Yoshimitsu Kuroki (NITKC) SIP2016-32 IE2016-32 PRMU2016-32 MI2016-32 |
Some of the image processing techniques including noise reduction and feature extraction are realized by convolving filt... [more] | SIP2016-32 IE2016-32 PRMU2016-32 MI2016-32 pp.167-171 |
|
| CPSY, DC, IPSJ-ARC [detail] | 2016-05-09 14:50 |
Toyama | Unaduki Suginoi Hotel | Optimization of Data Transfer and Kernel Execution for Video Processing Library RaVioli Kazuki Furuhashi, Kazuma Ono, Tomoaki Tsumura (Nagoya Inst. of Tech.) CPSY2016-4 DC2016-4 |
Programmers need to understand the complicated GPU structure deeply to utilize GPUs that can efficiently execute image a... [more] | CPSY2016-4 DC2016-4 pp.15-20 |
| EA, SP, SIP | 2016-03-29 09:00 |
Oita | Beppu International Convention Center B-ConPlaza | [Poster Presentation]
Study on Realization of Design Support Method for Compact Acoustic Systems Hayato Takimoto, Yoshinobu Kajikawa (Kansai Univ.), Takashi Miyakura (HOSIDEN) EA2015-110 SIP2015-159 SP2015-138 |
In this paper, we study a realization of the design support method for compact acoustic systems. Recently, the demand ... [more] |
EA2015-110 SIP2015-159 SP2015-138 pp.243-248 |
| 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 |
| CPSY, DC, IPSJ-ARC (Joint) [detail] |
2015-08-04 17:30 |
Oita | B-Con Plaza (Beppu) | An Effective Scheduling of Data Transfer for GPU Applications Kazuma Ono, Ryo Takeshima, Tomoaki Tsumura (Nagoya Inst. of Tech.) CPSY2015-23 |
Utilizing a GPU to perform general purpose computation is called GPGPU. The high theoretical performance of GPU draws ... [more] |
CPSY2015-23 pp.85-90 |
| PRMU | 2014-12-12 15:15 |
Fukuoka | A study on the placement of GPU graph cut graph data for stereovision Guide to the Technical Report and Template Ko Tamura, Kiyoshi Oguri, Yuichiro Shibata (Nagasaki Univ.) PRMU2014-84 |
We have implemented the Push Relabel graph cut algorithm on GPU(Graphics Processing Unit) to accomplish a real time st... [more] |
PRMU2014-84 pp.111-116 |
|
| PRMU | 2014-12-12 15:45 |
Fukuoka | A study on speedup of the graph cut PushRelabel processing using GPU Dynamic Parallelism Rei Kasedo, Kiyoshi Oguri, Yuichiro Shibata (Nagasaki Univ) PRMU2014-85 |
We have implemented a PushRelabel algorithm using a NVIDIA and CUDA. In late years the CUDA which is a GPU developping... [more] |
PRMU2014-85 pp.117-121 |
|
| CPSY | 2014-11-14 10:15 |
Hiroshima | Hiroshima University | C2CU : A CUDA C Program Generator for Bulk Execution of a Sequential Algorithm Daisuke Takafuji, Koji Nakano, Yasuaki Ito (Hiroshima Univ.) CPSY2014-67 |
A sequential algorithm is oblivious if an address accessed at each time does not depend on input data. Many important ta... [more] | CPSY2014-67 pp.75-80 |
| ISEC | 2014-09-05 15:35 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | GPU implementation of Ciphers using Schematic to Program Translator(SPT) Masashi Watanabe, Keisuke Iwai, Hidema Tanaka, Takakazu Kurokawa (NDA) ISEC2014-52 |
With the spread of heterogeneous computing, accelerators such as GPU are widely used. However, it is not easy to develop... [more] | ISEC2014-52 pp.35-42 |
| 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 |
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