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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 38  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
ICM, NS, CQ, NV
(Joint)
2023-11-22
09:00
Ehime Ehime Prefecture Gender Equality Center
(Primary: On-site, Secondary: Online)
Evaluation of Improvement Plans to Increase the Efficiency of Performance Data Transfer for Server Systems
Chika Iiyama (Ocha Univ.), Akira Hirai, Mari Yamaoka, Naoto Fukumoto (Fujitsu), Masato Oguchi (Ocha Univ.) NS2023-117
In recent years, demand for shared use of multiple servers has been increasing. In order to perform load balancing on th... [more] NS2023-117
pp.38-43
RECONF 2022-06-08
14:00
Ibaraki CCS, Univ. of Tsukuba
(Primary: On-site, Secondary: Online)
RECONF2022-19 Data has increased dramatically in recent years, and it is important to speed up parallel data processing using multiple... [more] RECONF2022-19
p.86
CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] 2021-03-25
16:00
Online Online Optimizing Data Transfer between CPU and GPU in Model Parallel Training with Mesh TensorFlow
Hironori Yokote, Shinobu Miwa, Hayato Yamaki, Hiroki Honda (UEC) CPSY2020-56 DC2020-86
Since deep learning requires an enormous amount of computation time, it is often executed on multiple GPUs. Mesh TensorF... [more] CPSY2020-56 DC2020-86
pp.37-42
IN, RCS, NV
(Joint)
2020-05-22
13:00
Online Online [Invited Lecture] Evaluation on Total Throughput of Segmented File Download Processes on Multiple Nodes over IEEE 802.11g Wireless LAN
Junichi Funasaka, Hiroyasu Obata, Kenji Ishida (Hiroshima City Univ.) IN2020-7 RCS2020-20
We have evaluated the conditions in terms of the number of TCP connections to obtain the highest total throughput on an ... [more] IN2020-7 RCS2020-20
pp.31-36(IN), pp.55-60(RCS)
NS, IN
(Joint)
2020-03-05
09:30
Okinawa Royal Hotel Okinawa Zanpa-Misaki
(Cancelled but technical report was issued)
Evaluation on Number of File Transfer Sessions to Maximize Total Throughput over IEEE 802.11g Wireless LAN
Junichi Funasaka, Hiroyasu Obata, Kenji Ishida (Hiroshima City Univ.) IN2019-77
We have evaluated the conditions in terms of the number of TCP connections to obtain the highest total throughput on an ... [more] IN2019-77
pp.7-12
PRMU, BioX 2015-03-20
14:00
Kanagawa   Training of Random Forests Using Covariate Shift on Parallel Distributed Processing
Ryoji Wakayama (Chubu Univ.), Akisato Kimura (NTT), Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi (Chubu Univ.) BioX2014-73 PRMU2014-193
Machine learning with big data improves a classification performance but increases computatinal cost for learning. Paral... [more] BioX2014-73 PRMU2014-193
pp.205-210
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
IE, ICD, VLD, IPSJ-SLDM [detail] 2014-10-02
14:15
Miyagi   Hierarchical GALS system based on ring segmented bus architecture
Masafumi Kondo (Kawasaki Univ. of Medical Welfare), Tomoyuki Yokogawa, Yoichiro Sato, Kazutami Arimoto (Okayama Prefectural Univ.) VLD2014-63 ICD2014-56 IE2014-42
A ring segmented bus (RSB) which connects the divided annular bus dynamically has been proposed as an asynchronous bus a... [more] VLD2014-63 ICD2014-56 IE2014-42
pp.19-24
SANE 2014-06-20
16:40
Ibaraki Tsukuba Space Center, JAXA High-performance Processing of Sensing Data via NICT Science Cloud
Ken T. Murata (NICT) SANE2014-40
In many scientific fields, most data are digitized and handled on computers and networks. The data files are getting lar... [more] SANE2014-40
pp.97-101
IA 2013-10-22
11:40
Tokyo Takeda Hall, Takeda Bldg. 5F, Hongo Campus, Univ. of Tokyo Basic Evaluation of the Parallel File Transfer Tool with UDT
Hidenobu Watanabe (NICT), Takashi Kurosawa (HITACHI), Ken T. Murata (NICT), Eizen Kimura (Ehime Univ.), Osamu Tatebe (Univ. of Tsukuba) IA2013-42
High-speed data migration in a distributed storage system remains one of problem in end-to-end communication of LFN(Long... [more] IA2013-42
pp.7-12
NS 2013-10-18
09:00
Hokkaido Hokkaido Univ. Performance Evaluation of Parallel Distributed Processing Method to Avoid Bottlenecks
Minsok Hwang, Yutaka Kaneko, Shinya Takeuchi, Masahide Naemura (NHK) NS2013-108
In a parallel distributed processing system for video processing such as video transcoding, some of the processing flows... [more] NS2013-108
pp.93-98
DC, CPSY
(Joint)
2013-08-02
15:45
Fukuoka Kitakyushu-Kokusai-Kaigijyo Evaluation of communication among a host and devices on multi-GPU system with ExpEther
Shimpei Nomura, Tetsuya Nakahama (Keio Univ.), Junichi Higuchi, Yuki Hayashi, Takashi Yoshikawa (NEC), Hideharu Amano (Keio Univ.) CPSY2013-25
Clusters with GPUs become widespread because they provide both high peak performance and excellent performance per cost.... [more] CPSY2013-25
pp.91-96
NS 2013-01-25
15:20
Kumamoto Kumamoto University A Study on the Parallel Distributed Video Processing Method Using the Pull-based File Transfer Protocol
Minsok Hwang, Yutaka Kaneko, Shinya Takeuchi, Shunji Sunasaki (NHK) NS2012-164
This paper presents a design for a parallel distributed video processing method that guarantees the processing throughpu... [more] NS2012-164
pp.133-138
CPSY 2012-10-12
15:30
Hiroshima   Improvement of MapReduce implementation of PrefixSpan Method
Hidemoto Nakada (AIST), Tatsuhiko Inoue (AIST/Soum), Hirotaka Ogawa, Tomohiro Kudoh (AIST) CPSY2012-40
We have been implementing a Key-Value Store based MapReduce System, called SSS, which enables quick MapReduce iteration ... [more] CPSY2012-40
pp.55-60
DC, CPSY
(Joint)
2012-08-02
18:00
Tottori Torigin Bunka Kaikan An Automatic Device Memory Allocation Method for OpenMPC
Hiroaki Uchiyama, Tomoaki Tsumura, Hiroshi Matsuo (Nagoya Inst. of Tech.) CPSY2012-17
The CUDA programming model provides better abstraction for GPU programming. However, it is still hard to build program b... [more] CPSY2012-17
pp.49-54
RECONF 2011-09-27
09:25
Aichi Nagoya Univ. A Design Framework for relieving a HW Bottleneck FPGAs Connected with a High-Speed Data Bus
Koichi Araki, Yukinori Sato, Yasushi Inoguchi (JAIST) RECONF2011-33
As reconfigurable devices with a PCI-Express interface appear in the market, the data transfer speed between the reconfi... [more] RECONF2011-33
pp.63-68
DC, CPSY 2011-04-12
13:25
Tokyo   A Note on Data Compression of Double-Precision Floating-Point Numbers for Massively Parallel Numerical Simulations
Mamoru Ohara, Takashi Yamaguchi (TIRI) CPSY2011-2 DC2011-2
In numerical simulations using massively parallel computers like GPGPU (General-Purpose computing on Graphics Processing... [more] CPSY2011-2 DC2011-2
pp.5-10
CPSY, DC, IPSJ-SLDM, IPSJ-EMB [detail] 2011-03-19
14:45
Okinawa   Parallel C code generation from Simulink models
Takahiro Kumura (NEC/Osaka Univ.), Masato Edahiro, Yuichi Nakamura (NEC), Nagisa Ishiura (Kwansei Gakuin Univ.), Yoshinori Takeuchi, Masaharu Imai (Osaka Univ.) CPSY2010-80 DC2010-79
This paper proposes a method to generate parallel C code from
models developed on the Simulink which is a model-based
... [more]
CPSY2010-80 DC2010-79
pp.303-308
VLD, DC, IPSJ-SLDM, CPSY, RECONF, ICD, CPM
(Joint) [detail]
2010-12-01
10:45
Fukuoka Kyushu University An Effective Processing Method for Parallel Loops on FPGA with PCI-Express
Koichi Araki, Yukinori Sato, Yasushi Inoguchi (JAIST) RECONF2010-47
As FPGAs with a PCI-Express Interface appear in the market, the data transter speed between FPGA and other units, such a... [more] RECONF2010-47
pp.49-54
SANE 2010-04-22
15:25
Okinawa Okinawa Subtropical Environment Remote-Sensing Center, NICT Speed-up of SAR Image Processing using Graphics Processing Units
Hiroyuki Sato, Shigeki Takase, Atsuo Ozaki, Toshio Wakayama (MELCO) SANE2010-2
We sped up image formation processing for synthetic aperture radar (SAR) using a graphics processing unit (GPU), which i... [more] SANE2010-2
pp.7-12
 Results 1 - 20 of 38  /  [Next]  
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