IPSJ SIG Technical Report Vol.2014-ARC-213 No.24 Vol.2014-HPC-147 No /12/10 GPU 1,a) 1,b) 1,c) 1,d) GPU GPU Structure Of Array Array Of
|
|
|
- きよはる しんまつ
- 5 years ago
- Views:
Transcription
1 GPU 1,a) 1,b) 1,c) 1,d) GPU 1 GPU Structure Of Array Array Of Structure 1. MPS(Moving Particle Semi-Implicit) [1] SPH(Smoothed Particle Hydrodynamics) [] DEM(Distinct Element Method)[] [] 1 Tokyo Institute of Technology, Meguro, Tokyo 1-8, Japan a) watanabe@sim.gsic.titech.ac.jp b) taoki@gsic.titech.ac.jp c) tsuzuki@sim.gsic.titech.ac.jp d) shimokawabe@sim.gsic.titech.ac.jp CPU 1core GPU(Graphics Processing Unit) [] [6] [7] [8] GPU [9] [1] GPU SPH DEM GPU 1 GPU GPU DEM GPU [11] [1] Array Of Structure Structure Of c 1 Information Processing Society of Japan 1
2 Array TSUBAME. Spring GPU NVIDIA Tesla KX CUDA Version 6. Dashpot Spring Friction slider. DEM(Distinct Element Method) Dashpot DEM 1 i j F N ij FT ij F N ij = k N L N ij + c N LN ij t (1) F T ij = k T L T ij + c T LT ij () t L L t k c N T R i i M ij M ij = R i x j x i (x j x i ) F T ij () i j i m i d x i dt I i d θ i dt = i j = i j [F ij ] + m i g () [M ij ] () x i θ i i m i I i Normal Direction Tangential Direction 1 Fig. 1 DEM interaction model. Fig. Collisions among contacting particles...1 DEM N N-1 N DEM DEM c 1 Information Processing Society of Japan
3 cell cell 1 cell cell Fig. Neighboring cell list. Fig. Neighboring cell list using linked-list method GPU CUDA atomic atomicexch hash 1 index 1 sort hash 1 1 index 1 1 start -1 Fig. Neighboring cell list using hash method.. hash index GPU Thrust sort by key start 1. 6 i rc Rc Rc Rc Rc = rc + αd min (6) D min α c 1 Information Processing Society of Japan
4 Rc 1 rc Fig. 6 Book-keeping method. 1 6 rc xbook xbook+ = v max t (7) xbook (Rc rc)/ xbook. 7 Rc 7 7 Fig. 7 Combination method of Neighboring cell list with bookkeeping method. 6. GPU Array Of Structure(AOS) Structure Of Array(SOA) AOS SOA DEM 1 AOS SOA 8 SOA AOS 91% 6% 1% 7% AOS SOA SOA AOS 7 SOA c 1 Information Processing Society of Japan
![Time [sec] 1 Table 1 Physical condition. Number of particle, Size of calculating area. 1.. [m ] Particle diameter Particle mass Spring constant (Normal) Spring constant (Tangential) Damping coefficient (Normal) Damping coefficient (Tangential) 1.](/docs-images/94/121627404/images/5-0.jpg "1 [m]. [kg]. 1 [N/m]. 1 [N/m]. 1 1 [Ns/m]. [Ns/m] Coefficient of friction. Discrete time 8 7 6 1 Fig.")
5 Time [sec] 1 Table 1 Physical condition. Number of particle, Size of calculating area. 1.. [m ] Particle diameter Particle mass Spring constant (Normal) Spring constant (Tangential) Damping coefficient (Normal) Damping coefficient (Tangential) 1. 1 [m]. [kg]. 1 [N/m]. 1 [N/m]. 1 1 [Ns/m]. [Ns/m] Coefficient of friction. Discrete time Fig. 8 8 AOS hash + book-keeping AOS linked-list + book-keeping SOA hash + book-keeping interaction book-keeping update 1. 1 [sec] SOA linked-list + book-keeping Comparison between Array of Structure and Structure of Array. 9 Fig. 9 Initial condition of braking dam problem for paformance test. Table Physical condition. Number of particle 1,, Size of calculating area... [m ] Particle diameter 1. 1 [m] Particle mass 1. 1 [kg] Spring constant (Normal). 1 [N/m] Spring constant (Tangential) [N/m] Damping coefficient (Normal). [Ns/m] Damping coefficient (Tangential). [Ns/m] Coefficient of friction. Discrete time. 1 6 [sec] DEM , 9,. sec 1.89 sec %.% c 1 Information Processing Society of Japan
6 Time [sec] Table Calculation time of linked-list method and hash method. interaction linked-list hash update total linked-list hash unit : sec α α (6) α.. 1 α α N α =. 9. sec 1% 1 7. α α = Fig Parameter α interaction book-keeping How frequency of update affects calculation time in book-keeping method. α = α α 1 α =.1 α.1 α.1 α.1 7% c 1 Information Processing Society of Japan 6
7 Time [sec] Table Calculation time of book-keeping + linked-list method and book-keeping + hash method. interaction book-keeping linked-list hash update total book-keeping + linked-list book-keeping + hash unit : sec Fig Parameter α interaction book-keeping How frequency of update affects calculation time in book-keeping + hash method. 1% 77% sec 8. DEM α α = 1. α = % 1. MB MB MB Tesla KX 6 GB 1 1 DEM Tesla KX DEM SPH MPS DEM c 1 Information Processing Society of Japan 7
8 Table Size of memory usage in each neighboring list method. particle book-keeping linked-list hash book-keeping 7.. lnked-list hash book-keeping + linked-list book-keeping + hash unit : MB 1 DEM Fig. 1 Breaking dam simulation using million particles. SPH MPS DEM 1 DEM SPH MPS 9. DEM GPU SOA AOS 1 DEM N GPU 1.6. GPU 6 HPC CREST [1] S Koshizuka and Y Oka. Moving-particle semi-implicit method for fragmentation of incompressible fluid. Nuclear science and engineering, Vol. 1, No., pp. 1, [] Joseph J Monaghan. An introduction to SPH. Computer physics communications, Vol. 8, No. 1, pp , [] Peter A Cundall and Otto DL Strack. A discrete numerical model for granular assemblies. Geotechnique, Vol. 9, No. 1, pp. 7 6, [],,. GPU., Vol. 76, No. 7, pp. 6 67, 1. [] Nicolin Govender, Daniel N Wilke, Schalk Kok, and Rosanne Els. Development of a convex polyhedral discrete element simulation framework for NVIDIA Kepler based GPUs. Journal of Computational and Applied Mathematics, Vol. 7, pp. 86, 1. [6],. GPU DEM., Vol. 1, No. 17, 1. [7] Takahiro Harada, Seiichi Koshizuka, and Yoichiro Kawaguchi. Smoothed particle hydrodynamics on GPUs. In Computer Graphics International, pp SBC Petropolis, 7. [8],,. GPU 1.., Vol. 6, No., pp. 8 9, sep 1. [9] José M Domínguez, Alejandro JC Crespo, Daniel Valdez- Balderas, Benedict D Rogers, and Moncho Gómezc 1 Information Processing Society of Japan 8
9 Gesteira. New multi-gpu implementation for smoothed particle hydrodynamics on heterogeneous clusters. Computer Physics Communications, Vol. 18, No. 8, pp , 1. [1],. GPU. Proceedings of the Conference on Computational Engineering and Science, 19, p.., 1. [11],.., Vol. 1, No. 11, 1. [1] Simon Green. Particle simulation using cuda. NVIDIA Whitepaper, December 1, 1. c 1 Information Processing Society of Japan 9
第６２巻 第１号 平成２４年４月／石こうを用いた木材ペレット
Bulletin of Japan Association for Fire Science and Engineering Vol. 62. No. 1 (2012) Development of Two-Dimensional Simple Simulation Model and Evaluation of Discharge Ability for Water Discharge of Firefighting
非線形長波モデルと流体粒子法による津波シミュレータの開発 I_ m ρ v p h g a b a 2h b r ab a b Fang W r ab h 5 Wendland 1995 q= r ab /h a d W r ab h
土木学会論文集 B2( 海岸工学 ) Vol. 70, No. 2, 2014, I_016-I_020 非線形長波モデルと流体粒子法による津波シミュレータの開発 Development of a Tsunami Simulator Integrating the Smoothed-Particle Hydrodynamics Method and the Nonlinear Shallow Water
EGunGPU
Super Computing in Accelerator simulations - Electron Gun simulation using GPGPU - K. Ohmi, KEK-Accel Accelerator Physics seminar 2009.11.19 Super computers in KEK HITACHI SR11000 POWER5 16 24GB 16 134GFlops,
GPU n Graphics Processing Unit CG CAD
GPU 2016/06/27 第 20 回 GPU コンピューティング講習会 ( 東京工業大学 ) 1 GPU n Graphics Processing Unit CG CAD www.nvidia.co.jp www.autodesk.co.jp www.pixar.com GPU n GPU ü n NVIDIA CUDA ü NVIDIA GPU ü OS Linux, Windows, Mac
GPGPU
GPGPU 2013 1008 2015 1 23 Abstract In recent years, with the advance of microscope technology, the alive cells have been able to observe. On the other hand, from the standpoint of image processing, the
(a) Picking up of six components (b) Picking up of three simultaneously. components simultaneously. Fig. 2 An example of the simultaneous pickup. 6 /
*1 *1 *1 *2 *2 Optimization of Printed Circuit Board Assembly Prioritizing Simultaneous Pickup in a Placement Machine Toru TSUCHIYA *3, Atsushi YAMASHITA, Toru KANEKO, Yasuhiro KANEKO and Hirokatsu MURAMATSU
IPSJ SIG Technical Report Vol.2014-CG-155 No /6/28 1,a) 1,2,3 1 3,4 CG An Interpolation Method of Different Flow Fields using Polar Inter
,a),2,3 3,4 CG 2 2 2 An Interpolation Method of Different Flow Fields using Polar Interpolation Syuhei Sato,a) Yoshinori Dobashi,2,3 Tsuyoshi Yamamoto Tomoyuki Nishita 3,4 Abstract: Recently, realistic
JFE.dvi
,, Department of Civil Engineering, Chuo University Kasuga 1-13-27, Bunkyo-ku, Tokyo 112 8551, JAPAN E-mail : atsu1005@kc.chuo-u.ac.jp E-mail : kawa@civil.chuo-u.ac.jp SATO KOGYO CO., LTD. 12-20, Nihonbashi-Honcho
23 Fig. 2: hwmodulev2 3. Reconfigurable HPC 3.1 hw/sw hw/sw hw/sw FPGA PC FPGA PC FPGA HPC FPGA FPGA hw/sw hw/sw hw- Module FPGA hwmodule hw/sw FPGA h
23 FPGA CUDA Performance Comparison of FPGA Array with CUDA on Poisson Equation (lijiang@sekine-lab.ei.tuat.ac.jp), (kazuki@sekine-lab.ei.tuat.ac.jp), (takahashi@sekine-lab.ei.tuat.ac.jp), (tamukoh@cc.tuat.ac.jp),
Input image Initialize variables Loop for period of oscillation Update height map Make shade image Change property of image Output image Change time L
1,a) 1,b) 1/f β Generation Method of Animation from Pictures with Natural Flicker Abstract: Some methods to create animation automatically from one picture have been proposed. There is a method that gives
1: A/B/C/D Fig. 1 Modeling Based on Difference in Agitation Method artisoc[7] A D 2017 Information Processing
![1: A/B/C/D Fig. 1 Modeling Based on Difference in Agitation Method artisoc[7] A D 2017 Information Processing](/thumbs/88/115893223.jpg "1: A/B/C/D Fig. 1 Modeling Based on Difference in Agitation Method artisoc[7] A D 2017 Information Processing")
1,a) 2,b) 3 Modeling of Agitation Method in Automatic Mahjong Table using Multi-Agent Simulation Hiroyasu Ide 1,a) Takashi Okuda 2,b) Abstract: Automatic mahjong table refers to mahjong table which automatically
Real AdaBoost HOG 2009 3 A Graduation Thesis of College of Engineering, Chubu University Efficient Reducing Method of HOG Features for Human Detection based on Real AdaBoost Chika Matsushima ITS Graphics
Fig. 2 Signal plane divided into cell of DWT Fig. 1 Schematic diagram for the monitoring system
Study of Health Monitoring of Vehicle Structure by Using Feature Extraction based on Discrete Wavelet Transform Akihisa TABATA *4, Yoshio AOKI, Kazutaka ANDO and Masataka KATO Department of Precision Machinery
IPSJ SIG Technical Report Vol.2012-CG-148 No /8/29 3DCG 1,a) On rigid body animation taking into account the 3D computer graphics came
3DCG 1,a) 2 2 2 2 3 On rigid body animation taking into account the 3D computer graphics camera viewpoint Abstract: In using computer graphics for making games or motion pictures, physics simulation is
: u i = (2) x i Smagorinsky τ ij τ [3] ij u i u j u i u j = 2ν SGS S ij, (3) ν SGS = (C s ) 2 S (4) x i a u i ρ p P T u ν τ ij S c ν SGS S csgs
![: u i = (2) x i Smagorinsky τ ij τ [3] ij u i u j u i u j = 2ν SGS S ij, (3) ν SGS = (C s ) 2 S (4) x i a u i ρ p P T u ν τ ij S c ν SGS S csgs](/thumbs/91/106610562.jpg ": u i = (2) x i Smagorinsky τ ij τ [3] ij u i u j u i u j = 2ν SGS S ij, (3) ν SGS = (C s ) 2 S (4) x i a u i ρ p P T u ν τ ij S c ν SGS S csgs")
15 C11-4 Numerical analysis of flame propagation in a combustor of an aircraft gas turbine, 4-6-1 E-mail: tominaga@icebeer.iis.u-tokyo.ac.jp, 2-11-16 E-mail: ntani@iis.u-tokyo.ac.jp, 4-6-1 E-mail: itoh@icebeer.iis.u-tokyo.ac.jp,
IPSJ SIG Technical Report Vol.2009-BIO-17 No /5/26 DNA 1 1 DNA DNA DNA DNA Correcting read errors on DNA sequences determined by Pyrosequencing
DNA 1 1 DNA DNA DNA DNA Correcting read errors on DNA sequences determined by Pyrosequencing Youhei Namiki 1 and Yutaka Akiyama 1 Pyrosequencing, one of the DNA sequencing technologies, allows us to determine
Study on Throw Accuracy for Baseball Pitching Machine with Roller (Study of Seam of Ball and Roller) Shinobu SAKAI*5, Juhachi ODA, Kengo KAWATA and Yu
Study on Throw Accuracy for Baseball Pitching Machine with Roller (Study of Seam of Ball and Roller) Shinobu SAKAI*5, Juhachi ODA, Kengo KAWATA and Yuichiro KITAGAWA Department of Human and Mechanical
( ) [1] [4] ( ) 2. [5] [6] Piano Tutor[7] [1], [2], [8], [9] Radiobaton[10] Two Finger Piano[11] Coloring-in Piano[12] ism[13] MIDI MIDI 1 Fig. 1 Syst
![( ) [1] [4] ( ) 2. [5] [6] Piano Tutor[7] [1], [2], [8], [9] Radiobaton[10] Two Finger Piano[11] Coloring-in Piano[12] ism[13] MIDI MIDI 1 Fig. 1 Syst](/thumbs/91/107597950.jpg "( ) [1] [4] ( ) 2. [5] [6] Piano Tutor[7] [1], [2], [8], [9] Radiobaton[10] Two Finger Piano[11] Coloring-in Piano[12] ism[13] MIDI MIDI 1 Fig. 1 Syst")
情報処理学会インタラクション 2015 IPSJ Interaction 2015 15INT014 2015/3/7 1,a) 1,b) 1,c) Design and Implementation of a Piano Learning Support System Considering Motivation Fukuya Yuto 1,a) Takegawa Yoshinari 1,b) Yanagi
1 Fig. 1 Extraction of motion,.,,, 4,,, 3., 1, 2. 2.,. CHLAC,. 2.1,. (256 ).,., CHLAC. CHLAC, HLAC. 2.3 (HLAC ) r,.,. HLAC. N. 2 HLAC Fig. 2
CHLAC 1 2 3 3,. (CHLAC), 1).,.,, CHLAC,.,. Suspicious Behavior Detection based on CHLAC Method Hideaki Imanishi, 1 Toyohiro Hayashi, 2 Shuichi Enokida 3 and Toshiaki Ejima 3 We have proposed a method for
IPSJ SIG Technical Report Vol.2016-CE-137 No /12/ e β /α α β β / α A judgment method of difficulty of task for a learner using simple
1 2 3 4 5 e β /α α β β / α A judgment method of difficulty of task for a learner using simple electroencephalograph Katsuyuki Umezawa 1 Takashi Ishida 2 Tomohiko Saito 3 Makoto Nakazawa 4 Shigeichi Hirasawa
AMD/ATI Radeon HD 5870 GPU DEGIMA LINPACK HD 5870 GPU DEGIMA LINPACK GFlops/Watt GFlops/Watt Abstract GPU Computing has lately attracted
DEGIMA LINPACK Energy Performance for LINPACK Benchmark on DEGIMA 1 AMD/ATI Radeon HD 5870 GPU DEGIMA LINPACK HD 5870 GPU DEGIMA LINPACK 1.4698 GFlops/Watt 1.9658 GFlops/Watt Abstract GPU Computing has
IPSJ SIG Technical Report Vol.2013-ARC-203 No /2/1 SMYLE OpenCL (NEDO) IT FPGA SMYLEref SMYLE OpenCL SMYLE OpenCL FPGA 1
SMYLE OpenCL 128 1 1 1 1 1 2 2 3 3 3 (NEDO) IT FPGA SMYLEref SMYLE OpenCL SMYLE OpenCL FPGA 128 SMYLEref SMYLE OpenCL SMYLE OpenCL Implementation and Evaluations on 128 Cores Takuji Hieda 1 Noriko Etani
IPSJ SIG Technical Report NetMAS NetMAS NetMAS One-dimensional Pedestrian Model for Fast Evacuation Simulator Shunsuke Soeda, 1 Tomohisa Yam
1 1 1 1 1 NetMAS NetMAS NetMAS One-dimensional Model for Fast Evacuation Simulator Shunsuke Soeda, 1 Tomohisa Yamashita, 1 Masaki Onishi, 1 Ikushi Yoda 1 and Itsuki Noda 1 We propose the one-dimentional
2). 3) 4) 1.2 NICTNICT DCRA Dihedral Corner Reflector micro-arraysdcra DCRA DCRA DCRA 3D DCRA PC USB PC PC ON / OFF Velleman K8055 K8055 K8055
1 1 1 2 DCRA 1. 1.1 1) 1 Tactile Interface with Air Jets for Floating Images Aya Higuchi, 1 Nomin, 1 Sandor Markon 1 and Satoshi Maekawa 2 The new optical device DCRA can display floating images in free
IPSJ SIG Technical Report Secret Tap Secret Tap Secret Flick 1 An Examination of Icon-based User Authentication Method Using Flick Input for
1 2 3 3 1 Secret Tap Secret Tap Secret Flick 1 An Examination of Icon-based User Authentication Method Using Flick Input for Mobile Terminals Kaoru Wasai 1 Fumio Sugai 2 Yosihiro Kita 3 Mi RangPark 3 Naonobu
2. Eades 1) Kamada-Kawai 7) Fruchterman 2) 6) ACE 8) HDE 9) Kruskal MDS 13) 11) Kruskal AGI Active Graph Interface 3) Kruskal 5) Kruskal 4) 3. Kruskal
1 2 3 A projection-based method for interactive 3D visualization of complex graphs Masanori Takami, 1 Hiroshi Hosobe 2 and Ken Wakita 3 Proposed is a new interaction technique to manipulate graph layouts
7 OpenFOAM 6) OpenFOAM (Fujitsu PRIMERGY BX9, TFLOPS) Fluent 8) ( ) 9, 1) 11 13) OpenFOAM - realizable k-ε 1) Launder-Gibson 15) OpenFOAM 1.6 CFD ( )
71 特集 オープンソースの大きな流れ Nonlinear Sloshing Analysis in a Three-dimensional Rectangular Pool Ken UZAWA, The Center for Computational Sciences and E-systems, Japan Atomic Energy Agency 1 1.1 ( ) (RIST) (ORNL/RSICC)
( )
1. 2. 3. 4. 5. ( ) () http://www-astro.physics.ox.ac.uk/~wjs/apm_grey.gif http://antwrp.gsfc.nasa.gov/apod/ap950917.html ( ) SDSS : d 2 r i dt 2 = Gm jr ij j i rij 3 = Newton 3 0.1% 19 20 20 2 ( ) 3 3
07-二村幸孝・出口大輔.indd
GPU Graphics Processing Units HPC High Performance Computing GPU GPGPU General-Purpose computation on GPU CPU GPU GPU *1 Intel Quad-Core Xeon E5472 3.0 GHz 2 6 MB L2 cache 1600 MHz FSB 80 GFlops 1 nvidia
A Precise Calculation Method of the Gradient Operator in Numerical Computation with the MPS Tsunakiyo IRIBE and Eizo NAKAZA A highly precise numerical
A Precise Calculation Method of the Gradient Operator in Numerical Computation with the MPS Tsunakiyo IRIBE and Eizo NAKAZA A highly precise numerical calculation method of the gradient as a differential
xx/xx Vol. Jxx A No. xx 1 Fig. 1 PAL(Panoramic Annular Lens) PAL(Panoramic Annular Lens) PAL (2) PAL PAL 2 PAL 3 2 PAL 1 PAL 3 PAL PAL 2. 1 PAL
PAL On the Precision of 3D Measurement by Stereo PAL Images Hiroyuki HASE,HirofumiKAWAI,FrankEKPAR, Masaaki YONEDA,andJien KATO PAL 3 PAL Panoramic Annular Lens 1985 Greguss PAL 1 PAL PAL 2 3 2 PAL DP
Vol.8 No (July 2015) 2/ [3] stratification / *1 2 J-REIT *2 *1 *2 J-REIT % J-REIT J-REIT 6 J-REIT J-REIT 10 J-REIT *3 J-
![Vol.8 No (July 2015) 2/ [3] stratification / *1 2 J-REIT *2 *1 *2 J-REIT % J-REIT J-REIT 6 J-REIT J-REIT 10 J-REIT *3 J-](/thumbs/91/104999279.jpg "Vol.8 No (July 2015) 2/ [3] stratification / *1 2 J-REIT *2 *1 *2 J-REIT % J-REIT J-REIT 6 J-REIT J-REIT 10 J-REIT *3 J-")
Vol.8 No.2 1 9 (July 2015) 1,a) 2 3 2012 1 5 2012 3 24, 2013 12 12 2 1 2 A Factor Model for Measuring Market Risk in Real Estate Investment Hiroshi Ishijima 1,a) Akira Maeda 2 Tomohiko Taniyama 3 Received:
研究成果報告書
Simulation Study of Interaction between Alfvén Eigenmodes and Energetic Particles (TAE ) TAE TAE MHD ITER We studied the interaction between Alfvén eigenmodes and energetic particles in fusion plasmas
1 OpenCL OpenCL 1 OpenCL GPU ( ) 1 OpenCL Compute Units Elements OpenCL OpenCL SPMD (Single-Program, Multiple-Data) SPMD OpenCL work-item work-group N
GPU 1 1 2 1, 3 2, 3 (Graphics Unit: GPU) GPU GPU GPU Evaluation of GPU Computing Based on An Automatic Program Generation Technology Makoto Sugawara, 1 Katsuto Sato, 1 Kazuhiko Komatsu, 2 Hiroyuki Takizawa
untitled
A = QΛQ T A n n Λ Q A = XΛX 1 A n n Λ X GPGPU A 3 T Q T AQ = T (Q: ) T u i = λ i u i T {λ i } {u i } QR MR 3 v i = Q u i A {v i } A n = 9000 Quad Core Xeon 2 LAPACK (4/3) n 3 O(n 2 ) O(n 3 ) A {v i }
IPSJ SIG Technical Report Vol.2011-EC-19 No /3/ ,.,., Peg-Scope Viewer,,.,,,,. Utilization of Watching Logs for Support of Multi-
1 3 5 4 1 2 1,.,., Peg-Scope Viewer,,.,,,,. Utilization of Watching Logs for Support of Multi-View Video Contents Kosuke Niwa, 1 Shogo Tokai, 3 Tetsuya Kawamoto, 5 Toshiaki Fujii, 4 Marutani Takafumi,
DPA,, ShareLog 3) 4) 2.2 Strino Strino STRain-based user Interface with tacticle of elastic Natural ObjectsStrino 1 Strino ) PC Log-Log (2007 6)
1 2 1 3 Experimental Evaluation of Convenient Strain Measurement Using a Magnet for Digital Public Art Junghyun Kim, 1 Makoto Iida, 2 Takeshi Naemura 1 and Hiroyuki Ota 3 We present a basic technology
IPSJ SIG Technical Report Vol.2011-MUS-91 No /7/ , 3 1 Design and Implementation on a System for Learning Songs by Presenting Musical St
1 2 1, 3 1 Design and Implementation on a System for Learning Songs by Presenting Musical Structures based on Phrase Similarity Yuma Ito, 1 Yoshinari Takegawa, 2 Tsutomu Terada 1, 3 and Masahiko Tsukamoto
untitled
2M5-24 SM311 SM332 3 4 e30mm 5 e30mm [2M5-24] 0-5 -10-15 -20-150-125-100-75-50 -25 0 25 50 75 100 125 150 0-5 -10-15 -20-150-125-100-75-50 -25 0 25 50 75 100 125 150 0-5 -10-15 -20-150-125-100-75-50 -25
untitled
A = QΛQ T A n n Λ Q A = XΛX 1 A n n Λ X GPGPU A 3 T Q T AQ = T (Q: ) T u i = λ i u i T {λ i } {u i } QR MR 3 v i = Q u i A {v i } A n = 9000 Quad Core Xeon 2 LAPACK (4/3) n 3 O(n 2 ) O(n 3 ) A {v i }
4. C i k = 2 k-means C 1 i, C 2 i 5. C i x i p [ f(θ i ; x) = (2π) p 2 Vi 1 2 exp (x µ ] i) t V 1 i (x µ i ) 2 BIC BIC = 2 log L( ˆθ i ; x i C i ) + q
![4. C i k = 2 k-means C 1 i, C 2 i 5. C i x i p [ f(θ i ; x) = (2π) p 2 Vi 1 2 exp (x µ ] i) t V 1 i (x µ i ) 2 BIC BIC = 2 log L( ˆθ i ; x i C i ) + q](/thumbs/92/110416683.jpg "4. C i k = 2 k-means C 1 i, C 2 i 5. C i x i p [ f(θ i ; x) = (2π) p 2 Vi 1 2 exp (x µ ] i) t V 1 i (x µ i ) 2 BIC BIC = 2 log L( ˆθ i ; x i C i ) + q")
x-means 1 2 2 x-means, x-means k-means Bayesian Information Criterion BIC Watershed x-means Moving Object Extraction Using the Number of Clusters Determined by X-means Clustering Naoki Kubo, 1 Kousuke
4/15 No.
4/15 No. 1 4/15 No. 4/15 No. 3 Particle of mass m moving in a potential V(r) V(r) m i ψ t = m ψ(r,t)+v(r)ψ(r,t) ψ(r,t) = ϕ(r)e iωt ψ(r,t) Wave function steady state m ϕ(r)+v(r)ϕ(r) = εϕ(r) Eigenvalue problem
1 GPU GPGPU GPU CPU 2 GPU 2007 NVIDIA GPGPU CUDA[3] GPGPU CUDA GPGPU CUDA GPGPU GPU GPU GPU Graphics Processing Unit LSI LSI CPU ( ) DRAM GPU LSI GPU
![1 GPU GPGPU GPU CPU 2 GPU 2007 NVIDIA GPGPU CUDA[3] GPGPU CUDA GPGPU CUDA GPGPU GPU GPU GPU Graphics Processing Unit LSI LSI CPU ( ) DRAM GPU LSI GPU](/thumbs/89/99132402.jpg "1 GPU GPGPU GPU CPU 2 GPU 2007 NVIDIA GPGPU CUDA[3] GPGPU CUDA GPGPU CUDA GPGPU GPU GPU GPU Graphics Processing Unit LSI LSI CPU ( ) DRAM GPU LSI GPU")
GPGPU (I) GPU GPGPU 1 GPU(Graphics Processing Unit) GPU GPGPU(General-Purpose computing on GPUs) GPU GPGPU GPU ( PC ) PC PC GPU PC PC GPU GPU 2008 TSUBAME NVIDIA GPU(Tesla S1070) TOP500 29 [1] 2009 AMD
IPSJ SIG Technical Report Vol.2012-HCI-149 No /7/20 1 1,2 1 (HMD: Head Mounted Display) HMD HMD,,,, An Information Presentation Method for Weara
1 1,2 1 (: Head Mounted Display),,,, An Information Presentation Method for Wearable Displays Considering Surrounding Conditions in Wearable Computing Environments Masayuki Nakao 1 Tsutomu Terada 1,2 Masahiko
3. ( 1 ) Linear Congruential Generator:LCG 6) (Mersenne Twister:MT ), L 1 ( 2 ) 4 4 G (i,j) < G > < G 2 > < G > 2 g (ij) i= L j= N
RMT 1 1 1 N L Q=L/N (RMT), RMT,,,., Box-Muller, 3.,. Testing Randomness by Means of RMT Formula Xin Yang, 1 Ryota Itoi 1 and Mieko Tanaka-Yamawaki 1 Random matrix theory derives, at the limit of both dimension
42 1 Fig. 2. Li 2 B 4 O 7 crystals with 3inches and 4inches in diameter. Fig. 4. Transmission curve of Li 2 B 4 O 7 crystal. Fig. 5. Refractive index
MEMOIRS OF SHONAN INSTITUTE OF TECHNOLOGY Vol. 42, No. 1, 2008 Li 2 B 4 O 7 (LBO) *, ** * ** ** Optical Scatterer and Crystal Growth Technology of LBO Single Crystal For Development with Optical Application
CG [7] Thomaszewski [12] Baranoski [1] [2] (a) (b) (c) 3 a b c 3(a) E g 3(b) E mag 3(c) E s 3 2 [16] SPH SPH 1960 Rosenswig 4 [9] Sudo [11] Han
![CG [7] Thomaszewski [12] Baranoski [1] [2] (a) (b) (c) 3 a b c 3(a) E g 3(b) E mag 3(c) E s 3 2 [16] SPH SPH 1960 Rosenswig 4 [9] Sudo [11] Han](/thumbs/89/100649401.jpg "CG [7] Thomaszewski [12] Baranoski [1] [2] (a) (b) (c) 3 a b c 3(a) E g 3(b) E mag 3(c) E s 3 2 [16] SPH SPH 1960 Rosenswig 4 [9] Sudo [11] Han")
1 Yonghao Yue 1 2 3 1 SPH smoothed particle hydrodynamics Visual Simulation of the Magnetic Fluid to Represent the Spike Phenomenon Tomokazu Ishikawa, 1 Yonghao Yue, 1 Kei Iwasaki, 2 Yoshinori Dobashi
& Vol.5 No (Oct. 2015) TV 1,2,a) , Augmented TV TV AR Augmented Reality 3DCG TV Estimation of TV Screen Position and Ro
TV 1,2,a) 1 2 2015 1 26, 2015 5 21 Augmented TV TV AR Augmented Reality 3DCG TV Estimation of TV Screen Position and Rotation Using Mobile Device Hiroyuki Kawakita 1,2,a) Toshio Nakagawa 1 Makoto Sato
鉄鋼協会プレゼン
NN :~:, 8 Nov., Adaptive H Control for Linear Slider with Friction Compensation positioning mechanism moving table stand manipulator Point to Point Control [G] Continuous Path Control ground Fig. Positoining
MDD PBL ET 9) 2) ET ET 2.2 2), 1 2 5) MDD PBL PBL MDD MDD MDD 10) MDD Executable UML 11) Executable UML MDD Executable UML
PBL 1 2 3 4 (MDD) PBL Project Based Learning MDD PBL PBL PBL MDD PBL A Software Development PBL for Beginners using Project Facilitation Tools Seiko Akayama, 1 Shin Kuboaki, 2 Kenji Hisazumi 3 and Takao
2. CABAC CABAC CABAC 1 1 CABAC Figure 1 Overview of CABAC 2 DCT 2 0/ /1 CABAC [3] 3. 2 値化部 コンテキスト計算部 2 値算術符号化部 CABAC CABAC
![2. CABAC CABAC CABAC 1 1 CABAC Figure 1 Overview of CABAC 2 DCT 2 0/ /1 CABAC [3] 3. 2 値化部 コンテキスト計算部 2 値算術符号化部 CABAC CABAC](/thumbs/92/108208872.jpg "2. CABAC CABAC CABAC 1 1 CABAC Figure 1 Overview of CABAC 2 DCT 2 0/ /1 CABAC [3] 3. 2 値化部 コンテキスト計算部 2 値算術符号化部 CABAC CABAC")
H.264 CABAC 1 1 1 1 1 2, CABAC(Context-based Adaptive Binary Arithmetic Coding) H.264, CABAC, A Parallelization Technology of H.264 CABAC For Real Time Encoder of Moving Picture YUSUKE YATABE 1 HIRONORI
149 (Newell [5]) Newell [5], [1], [1], [11] Li,Ryu, and Song [2], [11] Li,Ryu, and Song [2], [1] 1) 2) ( ) ( ) 3) T : 2 a : 3 a 1 :
![149 (Newell [5]) Newell [5], [1], [1], [11] Li,Ryu, and Song [2], [11] Li,Ryu, and Song [2], [1] 1) 2) ( ) ( ) 3) T : 2 a : 3 a 1 :](/thumbs/92/109497872.jpg "149 (Newell [5]) Newell [5], [1], [1], [11] Li,Ryu, and Song [2], [11] Li,Ryu, and Song [2], [1] 1) 2) ( ) ( ) 3) T : 2 a : 3 a 1 :")
Transactions of the Operations Research Society of Japan Vol. 58, 215, pp. 148 165 c ( 215 1 2 ; 215 9 3 ) 1) 2) :,,,,, 1. [9] 3 12 Darroch,Newell, and Morris [1] Mcneil [3] Miller [4] Newell [5, 6], [1]
情報処理学会研究報告 IPSJ SIG Technical Report Vol.2013-HPC-139 No /5/29 Gfarm/Pwrake NICT NICT 10TB 100TB CPU I/O HPC I/O NICT Gf
Gfarm/Pwrake NICT 1 1 1 1 2 2 3 4 5 5 5 6 NICT 10TB 100TB CPU I/O HPC I/O NICT Gfarm Gfarm Pwrake A Parallel Processing Technique on the NICT Science Cloud via Gfarm/Pwrake KEN T. MURATA 1 HIDENOBU WATANABE
[2] OCR [3], [4] [5] [6] [4], [7] [8], [9] 1 [10] Fig. 1 Current arrangement and size of ruby. 2 Fig. 2 Typography combined with printing
![[2] OCR [3], [4] [5] [6] [4], [7] [8], [9] 1 [10] Fig. 1 Current arrangement and size of ruby. 2 Fig. 2 Typography combined with printing](/thumbs/93/112070099.jpg "[2] OCR [3], [4] [5] [6] [4], [7] [8], [9] 1 [10] Fig. 1 Current arrangement and size of ruby. 2 Fig. 2 Typography combined with printing")
1,a) 1,b) 1,c) 2012 11 8 2012 12 18, 2013 1 27 WEB Ruby Removal Filters Using Genetic Programming for Early-modern Japanese Printed Books Taeka Awazu 1,a) Masami Takata 1,b) Kazuki Joe 1,c) Received: November
新しい価値創出に貢献する大規模CAEシミュレーション
CAE Large-scale CAE Simulation Supporting New Value-creation あらまし CAE Computer Aided Engineering LS-DYNA CAE CAE afjrls-dyna CAE Abstract In the manufacturing industry, numerical simulation assisted by
[4] ACP (Advanced Communication Primitives) [1] ACP ACP [2] ACP Tofu UDP [3] HPC InfiniBand InfiniBand ACP 2 ACP, 3 InfiniBand ACP 4 5 ACP 2. ACP ACP
![[4] ACP (Advanced Communication Primitives) [1] ACP ACP [2] ACP Tofu UDP [3] HPC InfiniBand InfiniBand ACP 2 ACP, 3 InfiniBand ACP 4 5 ACP 2. ACP ACP](/thumbs/88/116107914.jpg "[4] ACP (Advanced Communication Primitives) [1] ACP ACP [2] ACP Tofu UDP [3] HPC InfiniBand InfiniBand ACP 2 ACP, 3 InfiniBand ACP 4 5 ACP 2. ACP ACP")
InfiniBand ACP 1,5,a) 1,5,b) 2,5 1,5 4,5 3,5 2,5 ACE (Advanced Communication for Exa) ACP (Advanced Communication Primitives) HPC InfiniBand ACP InfiniBand ACP ACP InfiniBand Open MPI 20% InfiniBand Implementation
DEIM Forum 2009 B4-6, Str
DEIM Forum 2009 B4-6, 305 8573 1 1 1 152 8550 2 12 1 E-mail: tttakuro@kde.cs.tsukuba.ac.jp, watanabe@de.cs.titech.ac.jp, kitagawa@cs.tsukuba.ac.jp StreamSpinner PC PC StreamSpinner Development of Data
02-量子力学の復習
4/17 No. 1 4/17 No. 2 4/17 No. 3 Particle of mass m moving in a potential V(r) V(r) m i ψ t = 2 2m 2 ψ(r,t)+v(r)ψ(r,t) ψ(r,t) Wave function ψ(r,t) = ϕ(r)e iωt steady state 2 2m 2 ϕ(r)+v(r)ϕ(r) = εϕ(r)
12) NP 2 MCI MCI 1 START Simple Triage And Rapid Treatment 3) START MCI c 2010 Information Processing Society of Japan
1 1, 2 1, 2 1 A Proposal of Ambulance Scheduling System Based on Electronic Triage Tag Teruhiro Mizumoto, 1 Weihua Sun, 1, 2 Keiichi Yasumoto 1, 2 and Minoru Ito 1 For effective life-saving in MCI (Mass
258 5) GPS 1 GPS 6) GPS DP 7) 8) 10) GPS GPS 2 3 4 5 2. 2.1 3 1) GPS Global Positioning System
Vol. 52 No. 1 257 268 (Jan. 2011) 1 2, 1 1 measurement. In this paper, a dynamic road map making system is proposed. The proposition system uses probe-cars which has an in-vehicle camera and a GPS receiver.
The Evaluation on Impact Strength of Structural Elements by Means of Drop Weight Test Elastic Response and Elastic Limit by Hiroshi Maenaka, Member Sh
The Evaluation on Impact Strength of Structural Elements by Means of Drop Weight Test Elastic Response and Elastic Limit by Hiroshi Maenaka, Member Shigeru Kitamura, Member Masaaki Sakuma Genya Aoki, Member
IPSJ SIG Technical Report Vol.2013-CVIM-188 No /9/2 1,a) D. Marr D. Marr 1. (feature-based) (area-based) (Dense Stereo Vision) van der Ma
,a) D. Marr D. Marr. (feature-based) (area-based) (Dense Stereo Vision) van der Mark [] (Intelligent Vehicle: IV) SAD(Sum of Absolute Difference) Intel x86 CPU SSE2(Streaming SIMD Extensions 2) CPU IV
A Study of Effective Application of CG Multimedia Contents for Help of Understandings of the Working Principles of the Internal Combustion Engine (The
A Study of Effective Application of CG Multimedia Contents for Help of Understandings of the Working Principles of the Internal Combustion Engine (The Learning Effects of the Animation and the e-learning
2.2 6).,.,.,. Yang, 7).,,.,,. 2.3 SIFT SIFT (Scale-Invariant Feature Transform) 8).,. SIFT,,. SIFT, Mean-Shift 9)., SIFT,., SIFT,. 3.,.,,,,,.,,,., 1,
1 1 2,,.,.,,, SIFT.,,. Pitching Motion Analysis Using Image Processing Shinya Kasahara, 1 Issei Fujishiro 1 and Yoshio Ohno 2 At present, analysis of pitching motion from baseball videos is timeconsuming
14 2 5
14 2 5 i ii Surface Reconstruction from Point Cloud of Human Body in Arbitrary Postures Isao MORO Abstract We propose a method for surface reconstruction from point cloud of human body in arbitrary postures.
The Japanese Journal of Psychology 1974, Vol. 44, No. 6, AN ANALYSIS OF WORD ATTRIBUTES IMAGERY, CONCRETENESS, MEANINGFULNESS AND EASE OF LEAR
The Japanese Journal of Psychology 1974, Vol. 44, No. 6, 317-327 AN ANALYSIS OF WORD ATTRIBUTES IMAGERY, CONCRETENESS, MEANINGFULNESS AND EASE OF LEARNING FOR JAPANESE NOUNS TSUGUO OGAWA AND YOSHISADA
HBase Phoenix API Mars GPU MapReduce GPU Hadoop Hadoop Hadoop MapReduce : (1) MapReduce (2)JobTracker 1 Hadoop CPU GPU Fig. 1 The overview of CPU-GPU
GPU MapReduce 1 1 1, 2, 3 MapReduce GPGPU GPU GPU MapReduce CPU GPU GPU CPU GPU CPU GPU Map K-Means CPU 2GPU CPU 1.02-1.93 Improving MapReduce Task Scheduling for CPU-GPU Heterogeneous Environments Koichi
一般総括-表-HP.PDF
2. (1) 7 5051 56 52, 55 53 54 10 5960 6165 57636466, 5762 10 676873 697274 7071 7576 1 63 6 125146147 ( ) 18 148 143 144 15 116122 117118138139 142 119 136 120 121126 135 141 145 13 123 124 149 150 151
LCC LCC INOUE, Gaku TANSEI, Kiyoteru KIDO, Motohiro IMAMURA, Takahiro LCC 7 LCC Ryanair 1 Ryanair Number of Passengers 2,000,000 1,800,000 1,
LCC LCC INOUE, Gaku TANSEI, Kiyoteru KIDO, Motohiro IMAMURA, Takahiro 1 23 LCC 7 LCC Ryanair 1 Ryanair Number of Passengers 2,, 1,8, 1,6, 1,4, 1,2, 1,, 8, 6, 4, 2, 1985 1987 199 1993 1996 1998 Barrett
IPSJ SIG Technical Report Vol.2014-HCI-158 No /5/22 1,a) 2 2 3,b) Development of visualization technique expressing rainfall changing conditions
1,a) 2 2 3,b) Development of visualization technique expressing rainfall changing conditions with a still picture Yuuki Hyougo 1,a) Hiroko Suzuki 2 Tadanobu Furukawa 2 Kazuo Misue 3,b) Abstract: In order
Run-Based Trieから構成される 決定木の枝刈り法
Run-Based Trie 2 2 25 6 Run-Based Trie Simple Search Run-Based Trie Network A Network B Packet Router Packet Filtering Policy Rule Network A, K Network B Network C, D Action Permit Deny Permit Network
24312.dvi
Cognitive Studies, 24(3), 410-434. (Sep. 2017) The Table-talk Role Playing Game (TRPG) is an analog game. This game progresses by repeating acts of speech between a Game Master (GM) and a Player (PL).
318 T. SICE Vol.52 No.6 June 2016 (a) (b) (c) (a) (c) ) 11) (1) (2) 1 5) 6) 7), 8) 5) 20 11) (1
Vol.52, No.6, 317/329 2016 Mathematical Model and Analysis on Human s Handwork and Their Application to Brush Motion and Junkatsu of Japanese Calligraphy Tadamichi Mawatari and Kensuke Tsuchiya There is
3D UbiCode (Ubiquitous+Code) RFID ResBe (Remote entertainment space Behavior evaluation) 2 UbiCode Fig. 2 UbiCode 2. UbiCode 2. 1 UbiCode UbiCode 2. 2
THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS HCG HUMAN COMMUNICATION GROUP SYMPOSIUM. UbiCode 243 0292 1030 E-mail: {ubicode,koide}@shirai.la, {otsuka,shirai}@ic.kanagawa-it.ac.jp
Vol.55 No (Jan. 2014) saccess 6 saccess 7 saccess 2. [3] p.33 * B (A) (B) (C) (D) (E) (F) *1 [3], [4] Web PDF a m
![Vol.55 No (Jan. 2014) saccess 6 saccess 7 saccess 2. [3] p.33 * B (A) (B) (C) (D) (E) (F) *1 [3], [4] Web PDF a m](/thumbs/92/108648363.jpg "Vol.55 No (Jan. 2014) saccess 6 saccess 7 saccess 2. [3] p.33 * B (A) (B) (C) (D) (E) (F) *1 [3], [4] Web PDF a m")
Vol.55 No.1 2 15 (Jan. 2014) 1,a) 2,3,b) 4,3,c) 3,d) 2013 3 18, 2013 10 9 saccess 1 1 saccess saccess Design and Implementation of an Online Tool for Database Education Hiroyuki Nagataki 1,a) Yoshiaki
Studies of Foot Form for Footwear Design (Part 9) : Characteristics of the Foot Form of Young and Elder Women Based on their Sizes of Ball Joint Girth
Studies of Foot Form for Footwear Design (Part 9) : Characteristics of the Foot Form of Young and Elder Women Based on their Sizes of Ball Joint Girth and Foot Breadth Akiko Yamamoto Fukuoka Women's University,
HPC pdf
GPU 1 1 2 2 1 1024 3 GPUGraphics Unit1024 3 GPU GPU GPU GPU 1024 3 Tesla S1070-400 1 GPU 2.6 Accelerating Out-of-core Cone Beam Reconstruction Using GPU Yusuke Okitsu, 1 Fumihiko Ino, 1 Taketo Kishi, 2
Synthesis and Development of Electric Active Stabilizer Suspension System Shuuichi BUMA*6, Yasuhiro OOKUMA, Akiya TANEDA, Katsumi SUZUKI, Jae-Sung CHO
Synthesis and Development of Electric Active Stabilizer Suspension System Shuuichi BUMA*6, Yasuhiro OOKUMA, Akiya TANEDA, Katsumi SUZUKI, Jae-Sung CHO and Masaru KOBAYASHI Chassis Engineering Management
Instability of Aerostatic Journal Bearings with Porous Floating Bush at High Speeds Masaaki MIYATAKE *4, Shigeka YOSHIMOTO, Tomoaki CHIBA and Akira CH
Instability of Aerostatic Journal Bearings with Porous Floating Bush at High Speeds Masaaki MIYATAKE *4, Shigeka YOSHIMOTO, Tomoaki CHIBA and Akira CHIBA Department of Mechanical Engineering, Tokyo University
23_02.dvi
Vol. 2 No. 2 10 21 (Mar. 2009) 1 1 1 Effect of Overconfidencial Investor to Stock Market Behaviour Ryota Inaishi, 1 Fei Zhai 1 and Eisuke Kita 1 Recently, the behavioral finance theory has been interested
(a) 1 (b) 3. Gilbert Pernicka[2] Treibitz Schechner[3] Narasimhan [4] Kim [5] Nayar [6] [7][8][9] 2. X X X [10] [11] L L t L s L = L t + L s
![(a) 1 (b) 3. Gilbert Pernicka[2] Treibitz Schechner[3] Narasimhan [4] Kim [5] Nayar [6] [7][8][9] 2. X X X [10] [11] L L t L s L = L t + L s](/thumbs/75/72066128.jpg "(a) 1 (b) 3. Gilbert Pernicka[2] Treibitz Schechner[3] Narasimhan [4] Kim [5] Nayar [6] [7][8][9] 2. X X X [10] [11] L L t L s L = L t + L s")
1 1 1, Extraction of Transmitted Light using Parallel High-frequency Illumination Kenichiro Tanaka 1 Yasuhiro Mukaigawa 1 Yasushi Yagi 1 Abstract: We propose a new sharpening method of transmitted scene
IPSJ SIG Technical Report An Evaluation Method for the Degree of Strain of an Action Scene Mao Kuroda, 1 Takeshi Takai 1 and Takashi Matsuyama 1
1 1 1 An Evaluation Method for the Degree of of an Action Scene Mao Kuroda, 1 Takeshi Takai 1 and Takashi Matsuyama 1 The purpose of our research is to investigate structure of an action scene scientifically.
IPSJ SIG Technical Report Vol.2009-CVIM-167 No /6/10 Real AdaBoost HOG 1 1 1, 2 1 Real AdaBoost HOG HOG Real AdaBoost HOG A Method for Reducing
Real AdaBoost HOG 1 1 1, 2 1 Real AdaBoost HOG HOG Real AdaBoost HOG A Method for Reducing number of HOG Features based on Real AdaBoost Chika Matsushima, 1 Yuji Yamauchi, 1 Takayoshi Yamashita 1, 2 and
CD納品用.indd
1. 1.1 1.2 1.3 1.4 2. 3. 3.1 3.2 3.3 4. 4.1 4.2 6. Journal of the Institute of Nuclear Safety System Journal of the Institute of Nuclear Safety System Journal of the Institute of Nuclear Safety System
75 unit: mm Fig. Structure of model three-phase stacked transformer cores (a) Alternate-lap joint (b) Step-lap joint 3 4)
3 * 35 (3), 7 Analysis of Local Magnetic Properties and Acoustic Noise in Three-Phase Stacked Transformer Core Model Masayoshi Ishida Kenichi Sadahiro Seiji Okabe 3.7 T 5 Hz..4 3 Synopsis: Methods of local
1 4 4 [3] SNS 5 SNS , ,000 [2] c 2013 Information Processing Society of Japan
![1 4 4 [3] SNS 5 SNS , ,000 [2] c 2013 Information Processing Society of Japan](/thumbs/93/112672153.jpg "1 4 4 [3] SNS 5 SNS , ,000 [2] c 2013 Information Processing Society of Japan")
SNS 1,a) 2 3 3 2012 3 30, 2012 10 10 SNS SNS Development of Firefighting Knowledge Succession Support SNS in Tokyo Fire Department Koutarou Ohno 1,a) Yuki Ogawa 2 Hirohiko Suwa 3 Toshizumi Ohta 3 Received:
Fuzzy Multiple Discrimminant Analysis (FMDA) 5) (SOM) 6) SOM 3 6) SOM SOM SOM SOM SOM SOM 7) 8) SOM SOM SOM GPU 2. n k f(x) m g(x) (1) 12) { min(max)
SOM 1 2 2 3 1 (SOM: Self-Organizing Maps) 3 SOM SOM SOM SOM GPU A Study on Visualization of Pareto Solutions by Spherical Self-Organizing Maps MASATO YOSHIMI, 1 KANAME NISHIMOTO, 2 LUYI WANG, 2 TOMOYUKI
(MIRU2008) HOG Histograms of Oriented Gradients (HOG)
(MIRU2008) 2008 7 HOG - - E-mail: katsu0920@me.cs.scitec.kobe-u.ac.jp, {takigu,ariki}@kobe-u.ac.jp Histograms of Oriented Gradients (HOG) HOG Shape Contexts HOG 5.5 Histograms of Oriented Gradients D Human
1 2 4 5 9 10 12 3 6 11 13 14 0 8 7 15 Iteration 0 Iteration 1 1 Iteration 2 Iteration 3 N N N! N 1 MOPT(Merge Optimization) 3) MOPT 8192 2 16384 5 MOP
10000 SFMOPT / / MOPT(Merge OPTimization) MOPT FMOPT(Fast MOPT) FMOPT SFMOPT(Subgrouping FMOPT) SFMOPT 2 8192 31 The Proposal and Evaluation of SFMOPT, a Task Mapping Method for 10000 Tasks Haruka Asano
Title 混合体モデルに基づく圧縮性流体と移動する固体の熱連成計算手法 Author(s) 鳥生, 大祐 ; 牛島, 省 Citation 土木学会論文集 A2( 応用力学 ) = Journal of Japan Civil Engineers, Ser. A2 (2017), 73 Issue
Title 混合体モデルに基づく圧縮性流体と移動する固体の熱連成計算手法 Author(s) 鳥生, 大祐 ; 牛島, 省 Citation 土木学会論文集 A2( 応用力学 ) = Journal of Japan Civil Engineers, Ser. A2 (2017), 73 Issue Date 2017 URL http://hdl.handle.net/2433/229150 Right
ActionScript Flash Player 8 ActionScript3.0 ActionScript Flash Video ActionScript.swf swf FlashPlayer AVM(Actionscript Virtual Machine) Windows
ActionScript3.0 1 1 YouTube Flash ActionScript3.0 Face detection and hiding using ActionScript3.0 for streaming video on the Internet Ryouta Tanaka 1 and Masanao Koeda 1 Recently, video streaming and video
Copyright c 2000 by Yoshihide Tomiyama
JAIST Reposi https://dspace.j Title 有限要素法による 3 次元声道伝達特性の推定に関する研 究 Author(s) 冨山, 慶一 Citation Issue Date 2000-03 Type Thesis or Dissertation Text version author URL http://hdl.handle.net/10119/1365 Rights
10D16.dvi
D IEEJ Transactions on Industry Applications Vol.136 No.10 pp.686 691 DOI: 10.1541/ieejias.136.686 NW Accelerating Techniques for Sequence Alignment based on an Extended NW Algorithm Jin Okaze, Non-member,
Vol.214-HPC-145 No /7/3 C #pragma acc directive-name [clause [[,] clause] ] new-line structured block Fortran!$acc directive-name [clause [[,] c
![Vol.214-HPC-145 No /7/3 C #pragma acc directive-name [clause [[,] clause] ] new-line structured block Fortran!$acc directive-name [clause [[,] c](/thumbs/83/88091581.jpg "Vol.214-HPC-145 No /7/3 C #pragma acc directive-name [clause [[,] clause] ] new-line structured block Fortran!$acc directive-name [clause [[,] c")
Vol.214-HPC-145 No.45 214/7/3 OpenACC 1 3,1,2 1,2 GPU CUDA OpenCL OpenACC OpenACC High-level OpenACC CPU Intex Xeon Phi K2X GPU Intel Xeon Phi 27% K2X GPU 24% 1. TSUBAME2.5 CPU GPU CUDA OpenCL CPU OpenMP
Visual Evaluation of Polka-dot Patterns Yoojin LEE and Nobuko NARUSE * Granduate School of Bunka Women's University, and * Faculty of Fashion Science,
Visual Evaluation of Polka-dot Patterns Yoojin LEE and Nobuko NARUSE * Granduate School of Bunka Women's University, and * Faculty of Fashion Science, Bunka Women's University, Shibuya-ku, Tokyo 151-8523
