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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 41 - 60 of 151 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
CPSY, IPSJ-EMB, IPSJ-SLDM, DC [detail] 2015-03-07
10:20
Kagoshima   Dynamic Scheduling Algorithm for Automatically Parallelized and Power Reduced Applications on Multicore Systems
Takashi Goto, Kohei Muto, Tomohiro Hirano, Hiroki Mikami (Waseda Univ.), Uichiro Takahashi, Sakae Inoue (Fujitsu), Keiji Kimura, Hironori Kasahara (Waseda Univ.) CPSY2014-178 DC2014-104
This paper proposes a dynamic scheduling algorithm for multiple automatically parallelized or power reduced applications... [more] CPSY2014-178 DC2014-104
pp.95-100
MSS 2015-03-06
13:30
Ishikawa IT Business Plaza Musashi Parallel Distributed Clustering Algorithm with Node Partition and Aggregation in Large-Scale Graphs
Riku Asayama, Kohei Sakurai, Satoshi Yamane (Kanazawa Univ.) MSS2014-101
In this paper, we propose the rapid clustering method with the large-scaled graph structured data. Our approach is a dat... [more] MSS2014-101
pp.59-64
VLD 2015-03-04
11:35
Okinawa Okinawa Seinen Kaikan A parallel Algorithm for Realizing the Lax-Friedrichs Scheme in Computational Fluid Dynamics and its FPGA Implementation
Yusuke Haga, Shinobu Nagayama, Shin'ichi Wakabayashi, Masato Inagi (Hiroshima City Univ.) VLD2014-180
In the model of partial differential equations used in complex numerical simulations such as fluid analysis, it is diffi... [more] VLD2014-180
pp.153-158
RECONF, CPSY, VLD, IPSJ-SLDM [detail] 2015-01-29
15:45
Kanagawa Hiyoshi Campus, Keio University Inter-Cube Data-Exchanging for Custom Fluid Computing Machine Based on Building-Cube Method
Tomoya Ueno, Tomohiro Ueno, Kentaro Sano, Satoru Yamamoto (Tohoku Univ.) VLD2014-124 CPSY2014-133 RECONF2014-57
In our research project, we have developed an FPGA-based custom computing machine for parallel fluid computation based o... [more] VLD2014-124 CPSY2014-133 RECONF2014-57
pp.79-84
IBISML 2014-11-17
17:00
Aichi Nagoya Univ. [Poster Presentation] Application of partial parallel interference cancellation to sparse signal recovery
Koujin Takeda (Ibaraki Univ.), Toshiyuki Tanaka (Kyoto Univ.) IBISML2014-35
We apply partial parallel interference cancellation scheme in CDMA demodulation to sparse signal recovery in compressed ... [more] IBISML2014-35
pp.1-7
IBISML 2014-11-18
15:00
Aichi Nagoya Univ. [Poster Presentation] Parallel Distributed Block Coordinate Descent Methods based on Pairwise Comparison Oracle
Kota Matsui (Nagoya Inst. of Tech.), Wataru Kumagai (Kanagawa Univ.), Takafumi Kanamori (Nagoya Univ.) IBISML2014-67
This paper provides a block coordinate descent algorithm to solve unconstrained optimization prob- lems. In our algorith... [more] IBISML2014-67
pp.243-250
COMP 2014-09-02
16:30
Aichi Toyohashi University of Technology Parallel Algorithm for Determining Shortest Paths in DAG
Masahiro Migita, Masashi Toda (Kumamoto Univ.) COMP2014-23
In this paper, we propose an efficient parallel algorithm for determining shortest paths in a DAG(Directed Acyclic Graph... [more] COMP2014-23
pp.55-59
NLP 2014-07-01
11:25
Miyagi Tohoku Univ. Implementation of Parallel Processing of Chaos Hybrid Optimization for Quadratic Assignment Problem
Keisuke Kanamaru, Hiroyuki Yasuda, Mikio Hasegawa (TUS) NLP2014-30
Effectiveness of chaotic dynamics for combinatorial optimization has been shown by many previous researches. In this pap... [more] NLP2014-30
pp.53-58
IT 2014-05-16
13:25
Oita Beppu International Convention Center A method of parallel processing of syndromes to decode primitive BCH codes
Ken-ichi Iwata, Reiya Ooshima (Univ. of Fukui) IT2014-5
We consider numbers of addition and multiplication operations to calculate an error syndrome for q-ary primitive BCH cod... [more] IT2014-5
pp.23-26
NLP 2014-03-11
11:15
Tokyo Sophia University Basic performances of PSO networks
Tomoyuki Sasaki, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2013-180
Recently, systems have been large scale and complicated with the development of technology. Optimization algorithms such... [more] NLP2013-180
pp.91-96
VLD 2014-03-04
10:45
Okinawa Okinawa Seinen Kaikan An Approach of Rate-Distortion Optimized Quantization and its Evaluation
Genki Moriguchi, Hajime Sawano, Takashi Kambe (Kinki Univ.), Gen Fujita (Osaka Electro-Comm. Univ.) VLD2013-145
Rate-distortion optimized quantization (RDOQ) is becoming a popular technology to improve its video coding performance.
... [more]
VLD2013-145
pp.67-72
RCS, SR, SRW
(Joint)
2014-03-05
13:20
Tokyo Waseda Univ. Low complexity MLD based on Parallel Candidate Adding for coded MIMO systems
Takuma Tsubaki, Hideki Ochiai (Yokohama National Univ.) RCS2013-382
We propose an approach that reduces the complexity of Fixed-Complexity Sphere Decoding (FSD) utilizing the M-algorithm a... [more] RCS2013-382
pp.457-462
IPSJ-SLDM, CPSY, RECONF, VLD [detail] 2014-01-29
08:30
Kanagawa Hiyoshi Campus, Keio University An Experimental Bit-Parallel Solution to Accelerate Smith-Waterman Algorithm
Saori Sudo, Masato Yoshimi, Hidetsugu Irie, Tsutomu Yoshinaga (UEC) VLD2013-119 CPSY2013-90 RECONF2013-73
The Smith-Waterman (SW) algorithm is a computational method to obtain well accorded subsequences between two strings, an... [more] VLD2013-119 CPSY2013-90 RECONF2013-73
pp.103-108
NC 2014-01-20
10:25
Fukuoka Kyusyu Institute of Technology Hodgkin Huxley Type Model Parameter Estimation for Single Neuron via Massively Parallel RCGA -- Application to the Silkmoth Antennal Lobe Neuron --
Akihiko Goto, Tomoki Kazawa, Daisuke Miyamoto (Univ. of Tokyo), Stephan Shuichi Haupt (Bielefeld Univ.), Yusuke Mori, Ryohei Kanzaki (Univ. of Tokyo) NC2013-68
It is necessary to estimate model parameters of a neuron to simulate electrical activity of the neuron on a computer. We... [more] NC2013-68
pp.7-12
RCS, AP
(Joint)
2013-11-20
17:15
Shimane Matsue Terrsa A Study on BP-based Signal Detection for a Massive MIMO system in Spatially Correlated Channels
Wataru Fukuda, Takashi Abiko, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa (Hokkaido Univ.), Yusuke Ohwatari, Teruo Kawamura, Yoshihisa Kishiyama (NTT DOCOMO) RCS2013-183
The easiest way to improve the throughput performance of multiple-input multiple-output (MIMO) systems is increasing the... [more] RCS2013-183
pp.55-60
IT 2013-09-27
14:55
Okinawa Culture Resort Festone (Okinawa) Number of operations of parallel decoder for q-ary Hamming codes
Reiya Ooshima, Ken-ichi Iwata (Univ. of Fukui) IT2013-40
We consider the number of addition operations of parallel decoder to calculate an error syndrome for $q$-ary $left(frac{... [more] IT2013-40
pp.49-54
VLD, IPSJ-SLDM 2013-05-16
09:50
Fukuoka Kitakyushu International Conference Center A Longest Path Algorithm for Differential Pair Net Considering Connectivity
Koji Yamazaki, Yukihide Kohira (Univ. of Aizu) VLD2013-3
In recent years, due to the speedup and miniaturization in LSI systems, PCB routing design uses many differential pair n... [more] VLD2013-3
pp.13-18
SIP, RCS 2013-02-01
13:00
Hiroshima Viewport-Kure-Hotel (Kure) Complexity Reduction Approaches for Signal Detection Based on Belief Propagation in a Large Scale MIMO System
Wataru Fukuda, Takashi Abiko, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa (Hokkaido Univ.), Yusuke Ohwatari, Yoshihisa Kishiyama (NTT DOCOMO) SIP2012-119 RCS2012-276
The easiest way to improve the throughput performance of multiple-input multiple-output (MIMO) systems is to increase th... [more] SIP2012-119 RCS2012-276
pp.225-230
NC, NLP 2013-01-24
12:50
Hokkaido Hokkaido University Centennial Memory Hall Study of qusai-Newton training algorithm on parallel distributed environment
Makoto Saiki, Yoshihiko Sakashita, Hiroshi Ninomiya (Shonan Inst. of Tech.) NLP2012-111 NC2012-101
This paper describes the feasibility of quasi-Newton method for training feedforward neural networks on the parallel dis... [more] NLP2012-111 NC2012-101
pp.43-48
ICD 2012-12-17
15:55
Tokyo Tokyo Tech Front [Poster Presentation] A Hardware-Friendly Object Recognition Algorithm Using Log Polar Coordinate Transformation
Makoto Wada, Tadashi Shibata (UT) ICD2012-96
SIFT and SIFT-based algorithms are widely used in a variety of image recognition problems. However
they present the fol... [more]
ICD2012-96
p.35
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