ICT 3 No.17 COMP 4 SS 8 (SWIM) (PRMU) (MIRU) Personalized PageRank 18 The Case for Network Coding for Collective Communica
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1 ISSN Print ISSN ISSN ISSN mag/back number.html c
2 ICT 3 No.17 COMP 4 SS 8 (SWIM) (PRMU) (MIRU) Personalized PageRank 18 The Case for Network Coding for Collective Communication on HPC Interconnection Networks Ahmed SHALABY 19 FIT Author s Toolkit Writing Better Technical Papers Ron Read
3 ICT ICT NTT NTT Kirari! ICT Kirari! 4 ICT ICT ICT Sushi ICT 3
4 (COMP) No.17 nishio.naoki@gmail.com RAM CPU PRAM (Parallel Random Access Machine) 1970 PRAM MapReduce GPU PRAM GPU 1,000 10,000 PRAM Population protocol 4
5 (COMP) Look Compute Move Wait Google (MapReduce) 5
6 (COMP) Map Reduce
7 (COMP) A B 2 π 6 7
8 (SS) SS 1. SS 30 SS [1] [3] SS SS ( SS [1], [3] [1], [3] 1. 8
9 (SS) 9 IoT [4] MRI MRI [5] MRI MRI Malbolge Hello World! Malbolge [6] Malbolge [1] 5. SS [1] vol.15, no.4, pp.8 9, Feb [2] vol.17, no.3, pp.8 9, Nov [3] vol.19, no.2, pp.11 12, Aug [4] B.H. Hai SS2016-1, July [5] A. Eklund, T. E. Nicholsd, and H. Knutsson, Cluster failure: Why fmri inferences for spatial extent have inflated false-positive rates, PNAS, vol.113, no.28, pp , July [6] Malbolge SS , Oct
10 (SWIM) (SWIM) 1. FinTech Industry 4.0 Internet based enterprise Interprise SWIM (Software Interprise Modeling) Interprise SWIM Web Interprise SWIM SWIM BD2 A Sculptural Approach CLD BM Viability DEMO DAIDRUAE
11 (SWIM) 2.1 Web RER UPPAAL GAE 2.3 Interprise SVD ICA 3. SWIM SWIM IT ArchiMate 2 ArchiMate [1] PaaS [2] [1] SWIM , Nov [2] 3.0 SWIM2015-6, May
12 (CNR) (CNR) NTT iroobo Network Fab Café Tokyo CNR Sota RoBoHoN PALRO BB-8 (Hue) ipad OkaoVision NTT R-env R R-env R R-env R 3 PC PC 12
13 (CNR) R-env R R-env R R-env R CNR 1 4 CNR 13
14 (PRMU) (PRMU) (MIRU) PRMU PRMU PRMU 1. (PRMU) PRU ( ) PRL ( ) 44 *1 PRL PRMU 430 8,000 8 FIT CVIM (MIRU) PRMU MIRU 2. PRMU 2.1 PRMU *1 PRL PRU PRMU [1] (DNN) DNN PRMU 2016 PC OpenCV DNN PRMU 14
15 (PRMU) *2 PRMU 10 PRMU 2.2 PRMU PRMU PRMU (SP, ASJ-H) MIRU2016 MIRU KIKU *2 [2] PRMU 2.4 WG 2015 (WG) WG 7 47 WG WG PRMU 8 FIT 12WG 3. (MIRU) 3.1 MIRU PRMU (CVIM) 15
16 (PRMU) MIRU MIRU MIRU KIKU (NII) AI P (NII) AI MIRU 3.3 MIRU MIRU 108 MIRU PRMU PRMU MIRU PRMU [1] CVIM 2016-CVIM-200 (17), pp.1 4 (2016). [2] 10 vol.20, no.4, pp.15 16, Feb
17 [1] 28 [1] vol.j97-d, no.12, pp , Dec
18 Personalized PageRank [1] Personalized PageRank Personalized PageRank Personalized PageRank Personalized PageRank [1] Personalized PageRank vol.j98-d, no.5, pp , May
19 The Case for Network Coding for Collective Communication on HPC Interconnection Networks Ahmed SHALABY E-JUST [1] 27 1 Top ,000 GPU SSD 5 1 SHALABY SHALABY [1] A. Shalaby, I. Fujiwara, and M. Koibuchi, The Case for Network Coding for Collective Communication on HPC Interconnection Networks, IE- ICE Trans. Inf. & Syst., vol.e98-d, no.3, pp , March
20 FIT2016 NEC (FIT2016) FIT 1,347 1, % 41 3 FIT 3 8 FIT MIKUEXPO Love [1] FIT 1. 20
21 The 2nd RECONF/CPSY/ ARC/GITrax Trax [2] FPGA GPU PC Trax 1 1 Trax Solver well-being (CPD) CPD FIT2016 BUSINESS TREND 5 5. FIT2016 FIT [3] FIT [1] FIT vol.21, no.2, pp.15 16, Aug [2] [3] 21
22 SNS Amazon Mechanical Turk (Deep Learning) 2. Caltech101 ImageNet FaceNet [1] Google YouTube [2] 16,000 22
23 Google [3] [4] 4. Caltech ImageNet 5. [1] F. Schroff, D. Kalenichenko, and J. Philbin, FaceNet, CVPR, [2] Q.V. Le, M. Ranzato, R. Monga, M. Devin, K. Chen, G.S. Corrado, J. Dean, and A.Y. Ng, Building high-level features using large scale unsupervised learning, ICML, [3] A. Nguyen, J. Yosinski, and J. Clune, Deep Neural Networks are Easily Fooled, CVPR, [4] I.J. Goodfellow, J. Shlens, and C. Szegedy, Explaining and Harnessing Adversarial Examples, ICLR,
24 NTT B-ISDN 1 ISS NTT km NTT 30 24
25 Google Google AI NTT 200 THz 10 THz F-400M THz 400 Mbit 5 THz 20 Tbit km 1. 2 Er 25
26 NTT KDD AT&T NTT ITU-T NTT ISDN 26
27 NTT 27
28 NEC (JST) J-STAGE [1] (ISSN) ISSN ISSN 2. J-STAGE J-STAGE J-STAGE ISS ISS ISS ISS 82 1 Google 2 ISS ISS 3. J-STAGE PDF PDF 4 [1] ieiceissjournal/21/2/ contents/-char/ja/ 28
29 Author s Toolkit Writing Better Technical Papers Ron Read Kurdyla and Associates Co., Ltd. 29
30 No.16 CW 4 30
31 情報 システムソサイエティ誌 第 21 巻第 3 号 通巻 84 号 編集後記 編集委員会名薄 右も左もわからず主担当を仰せつかりましたが 何とか出版までこぎつけられて安心しておりま す 今号の記事には人工知能やディープラーニングに関する話題も多く 時代の流れを感じます 主担当 鈴木 初めての編集作業を担当させて頂き 著者の皆様の大事な原稿を預からせて頂くことの責任感 緊 張感をたっぷり味わわせて頂きました 御協力を頂いた多くの皆様に感謝いたします 副担当 黒柳 31
32
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