産総研・東工大 実社会ビッグデータ活用 オープンイノベーションラボラトリ(RWBC-OIL)では、 平成29年2月20日の設立以来、実社会ビッグデータ活用技術による新たな価値創造を実現するために、 産総研と東工大が有する計算プラットフォーム構築技術とビッグデータ処理技術を融合し、さまざまな 分野に適用できるビッグデータの処理・解析技術を提供するオープンプラットフォームを構築することで、 新たな価値を創造するための研究開発を行ってきました。

RWBC-OILの活動ならびに研究成果を紹介するRWBC-OIL Workshopを開催いたします。 RWBC-OILでは、民間企業と密接に連携し共同研究や技術移転を進めることで、得られた成果の速やかな 産業化と社会実装を目指しています。 皆様のご参加をお待ちしております。

日 時:2018年5月8日(火)10:30〜17:45 (10:00受付開始)
場 所:くらまえホール, 東工大蔵前会館(東京都目黒区大岡山2丁目12-1)
参加費:無料
主 催:産総研・東工大 実社会ビッグデータ活用 オープンイノベーションラボラトリ
言 語:英語 (All presentations are given in English.)
参加申込み: こちらから

RWBC-OIL Workshop Program

Date: Tuesday, May 8th, 2018
Venue: Kuramae Hall, Tokyo Tech Front (2-12-1 Ookayama Meguro, Tokyo)
Chair: Dr. Hirotaka Ogawa, Prof. Toshio Endo

Time Table

10:30 - 10:40 Opening remarks
Dr. Satoshi Sekiguchi, Prof. Osamu Watanabe
10:40 - 10:45 RWBC-OIL overview
Dr. Kazuhito Yokoi
10:45 - 11:00 RWBC-OIL's expectations
Prof. Katsuki Fujisawa
11:00 - 11:15 ABCI: AI Bridging Infrastructure
Dr. Hirotaka Ogawa
11:15 - 11:20 Q&A
 
11:20 - 11:40 Invited talk 1: Zebrafish Neural Activity Maps for Novel Neuromorphic Deep Learning Architectures
Dr. Gerald Pao, University of California, San Diego, USA
11:40 - 11:50 Q&A
 
11:50 - 12:40 Lunch
 
12:40 - 13:20 Invited talk 2: PPP-Net: Platform-aware Progressive search for Pareto-optimal Neural Architectures
Prof. Min Sun, National Tsing Hua University, Taiwan
13:20 - 13:30 Q&A
 
13:30 - 13:40 Overview of RG1
Dr. Ryousei Takano
13:40 - 13:55 Characterizing the Interference between I/O and MPI Traffic on Fat-tree Networks
Kevin Brown
13:55 - 14:10 Speeding Up Deep Learning with Second Order Optimisation and Distributed Training
Yohei Tsuji
14:10 - 14:25 RWBC-OIL Activities for Data-Driven Optimization of Datacenter Operation
Dr. Shinichiro Takizawa
14:25 - 14:30 Q&A
 
14:30 - 14:40 Overview of RG2-1
Prof. Koichi Shinoda
14:40 - 14:55 Deep learning for Remotely Sensed Data Classification/Segmentation
Dr. Poliyapram Vinayraj
14:55 - 15:10 Compressing Deep Neural Networks
Choong Jun Jin
15:10 - 15:15 Q&A
 
15:15 - 16:15 Poster session
 
16:15 - 16:30 Overview of RG2-2
Dr. Takao Terano
16:30 - 16:35 Q&A
 
16:35 - 16:45 Overview of RG2-3: Ultra-High Dimensional Data Analysis
Dr. Jun Sese
16:45 - 17:00 MEGADOCK: a supercomputing bioinformatics application for protein-protein interaction prediction
Dr. Masahito Ohue
17:00 - 17:15 Classifying Phenotype from Genotype via Deep Learning Models
Dr. Tony Kuo
17:15 - 17:20 Q&A
 
17:20 - 17:35 Overview of RG2-4: Big Data and Language Grounding
Dr. Hiroya Takamura
17:35 - 17:40 Q&A
 
17:40 - 17:45 Closing

Poster session

  1. Mohamed Wahib, protoNN: Framework Agnostic, Scalable, and Optimization-driven Prototyping of DNNs for GPU-accelerated Supercomputers
  2. Chen Peng, Pushing the Limits for 2D Convolution Computation On CUDA-enabled GPUs
  3. Mateusz Bysiek, Between Python and Performance
  4. Kazuaki Matsumura, Autotuning Temporal Blocking via Polyhedral Compilation
  5. Tianqi Xu, HuronFS: Hierarchical, User-level and On-demand Burst Buffer File System
  6. Yohei Tsuji, Fault Oblivious Distributed Deep Learning Applications
  7. Shinichiro Takizawa, Preliminary Data Analysis for Efficient Deep Learning Job Scheduling
  8. Shweta Salaria, Predicting Performance Using Collaborative Filtering
  9. Kevin Brown, Co-locating Graph Analytics and HPC Applications
  10. Ryo Matsumiya, vGASNet: Scalable RMA-based Communication Library for Out-of-core Data Processing
  11. Jian Guo, Predictions for Underestimation of Job Runtime on HPC System using Machine Learning
  12. Poliyapram Vinayraj, Deep learning for medium resolution satellite image classification
  13. Yuya Murata, Development of Analysis Method for Corporate Data
  14. Kento Aoyama, Comparison of the HPC Container Technologies for Bioinformatics Application
  15. Tomohiro Ban, Efficient Hyperparameter Optimization by Using GP-MI Bayesian Optimization Algorithm for Predicting Drug–Target Interactions
  16. Marina Yamasawa, GPU/MPI Parallelization of Metagenomic Sequence Homology Search Tool and Its Large-scale Application to Oral Microbiota Analysis Associated with Periodontal Disease
  17. Yicong Huang, Membrane permeation prediction of cyclic peptides using enhancing sampling molecular dynamics simulation
  18. Rikuto Kubota, Development of efficient protein-ligand docking method for virtual screening by reuse of fragments
  19. Hiroki Watanabe, MEGADOCK-Web-Mito: a database of computer-predicted mitochondrial protein-protein interactions
  20. Toshitaka Tanebe, Machine learning based compound activity prediction using binding pocket information