CV

Ryousei Takano

Deputy Leader, Future Core Digital Technology Cooperative Research Laboratory, Digital Architecture Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan

Ph: (029) 861-3095 Fax: (029) 862-6601 E-mail: takano-ryousei@aist.go.jp

a. Professional Preparation

Tokyo University of Agriculture and Technology Computer Science B.S., 1997

Tokyo University of Agriculture and Technology Computer Science M.S., 1999

Tokyo University of Agriculture and Technology Engineering Ph.D., 2008

b. Appointments

2022-present Deputy Leader, Future Core Digital Technology CRL, AIST

2020-2021 Deputy Director, IT Industry Division, Ministry of Economy, Trade and Industry

2017-2020 Team Leader, AIST-Tokyo Tech RWBC-OIL

2015-2020 Research Group Leader, Cyber-Physical Cloud Research Group, AIST

2013-Present Senior Research Scientist, AIST

2008-2013 Research Scientist, AIST

2003-2008 Engineer, AXE, Inc.

c. Publications (past 5 years)

1. K. Ozawa, T. Hirofuchi, R. Takano, M. Sugaya, "fogcached: DRAM/NVMM hybrid KVS Server for Edge Computing," IEICE Transactions on Information and Systems, Vol.E104-D, No.12, pp.2089-2096, Dec. 2021.

2. M. Yamakura, R. Takano, A. B. Ahmed, M. Sugaya, and H. Amano, "A Multi-tenant Resource Management System for Multi-FPGA Systems," IEICE Transactions on Information and Systems, Vol.E104-D, No.12, pp.2078-2088, Dec. 2021.

3. T. T. Nguyen and R. Takano, "Hybrid Electrical/Optical Switch Architectures for Training Distributed Deep Learning in Large-Scale," IEICE Transactions on Information and Systems, Vol.E104-D, No.8, pp.1332-1339, Aug. 2021.

4. R. Takano and K. Suzaki, "Disaggregated Accelerator Management System for Cloud Data Centers," IEICE Transactions on Information and Systems, Vol.E104-D, No.3, pp.465-468, Mar. 2021.

5. K. Takahashi, W. Watanakeesuntorn, K. Ichikawa, J. Park, R. Takano, J. Haga, G. Sugihara, G. M. Pao, "kEDM: A Performance-portable Implementation of Empirical Dynamic Modeling using Kokkos," ACM Practice & Experience in Advanced Research Computing (PEARC'21), July 2021.

6. A. N. Kahira, T. T. Nguyen, L. B. Gomez, R. Takano, R. M Badia, M. Wahib, "An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks," The International ACM Symposium on High-Performance Parallel and Distributed Computing 2021 (HPDC'21), June 2021.

7. W. Watanakeesuntorn, K. Takahashi, K. Ichikawa, J. Park, G. Sugihara, R. Takano, J. Haga, G. M. Pao, "Massively Parallel Causal Inference of Whole Brain Dynamics at Single Neuron Resolution," 26th International Conference on Parallel and Distributed Systems (ICPADS 2020), Dec. 2020.

8. M. Wahib, H. Zhang, T. T. Nguyen, A. Drozd, J. Domke, L. Zhang, R. Takano, S. Matsuoka, "Scaling Distributed Deep Learning Workloads Beyond the Memory Capacity with KARMA," IEEE/ACM International Conference on High Performance Computing, Networking, Storage and Analysis (SC2020), November 2020.

9. K. Ozawa, T. Hirofuchi, R. Takano, M. Sugaya, "fogcached: DRAM-NVM Hybrid Memory-Based KVS server for Edge Computing", Edge 2020, September 2020.

10. T. Hirofuchi and R. Takano, "A Prompt Report on the Performance of Intel Optane DC Persistent Memory Module," IEICE Transactions on Information and Systems, Vol.E103-D, No.05, May. 2020.

11. K. Thonglek, K. Takahashi, K. Ichikawa, C. Nakasan, H. Nakada, R. Takano, H. Iida, "Retraining Quantized Neural Network Models with Unlabeled Data," International Joint Conference on Neural Networks (IJCNN), July 2020.

12. R. Takano, T. Shimizu, F. Okazaki, K. Ishii, S. Namiki, K. Sato, "Development of Fast Control Plane for an Optical and Electrical Hybrid Switch Network", Open Compute Project Global Summit 2020, May 2020.

13. P. Phan-udom, V. Visoottiviseth, R. Takano, "Intercontinental Disk-to-Disk Data Transfer Experiment with a Lightweight DTN Software Stack," 22nd International Conference on Advanced Communications Technology (ICACT), February 2020.

14. S. Takizawa and R. Takano, "Effect of an Incentive Implementation for Specifying Accurate Walltime in Job Scheduling," International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia), January 2020.

15. T. Nguyen, M. Wahib, R. Takano, "Efficient MPI-Allreduce for Large-Scale Deep Learning on GPU-Clusters," Concurrency and Computation: Practice and Experience, 2019;e5574.

16. A. Koshiba, T. Hirofuchi, R. Takano, "A Software-based NVM Emulator Supporting Read/Write Asymmetric Latencies," IEICE Transactions on Information and Systems, 2019.

17. P. Chen, M. Wahib, S. Takizawa, R. Takano, S. Matsuoka, " iFDK: A Scalable Framework for Instant High-resolution Image Reconstruction,” IEEE/ACM International Conference on High Performance Computing, Networking, Storage and Analysis (SC2019), November 2019.

18. P, Chen, M. Wahib, S. Takizawa, R. Takano, S. Matsuoka, "A Versatile Software Systolic Execution Model for GPU Memory Bound Kernels," IEEE/ACM International Conference on High Performance Computing, Networking, Storage and Analysis (SC2019), November 2019.

19. K. Sasaki, T. Hirofuchi, S. Yamaguchi, R. Takano, "An Accurate Packet Loss Emulation on a DPDK-based Network Emulator," The 15th Asian Internet Engineering Conference (AINTEC), pp.1-8, August 2019.

20. W. Nogami, T. Ikegami, S. O'uchi, R. Takano, T. Kudoh, "Optimizing Weight Value Quantization for CNN Inference," International Joint Conference on Neural Networks (IJCNN), July 2019.

21. K. Higuchi, N. Yoshifuji, T. Sakai, Y. Kitta, R. Takano, T. Ikegami, K. Taura, "ClPy: A NumPy-compatible Library accelerated with OpenCL," Scalable Deep Learning over Parallel and Distributed Infrastructure (ScaDL), May 2019.

22. T. Nguyen, R. Takano, and M. Wahib, "Hierarchical Distributed-Memory Multi-Leader MPI-Allreduce for Deep Learning Workloads," 3rd International Workshop on GPU Computing and AI, November 2018.

23. P. Phanphila, V. Visoottiviseth, J. Haga, R. Takano, "Digital Poster Management application on a SAGE2-based Multiple Display system," ICSEC2018, November, 2018.

24. C. Peng, M. Wahib, S. Takizawa, R. Takano, S. Matsuoka, "Efficient Algorithms for the Summed Area Tables Primitive on GPUs", IEEE Cluster, September, 2018.

25. S. O'uchi, H. Fuketa, T. Ikegami, W. Nogami, T. Matsukawa, T. Kudoh, and R. Takano, "Image-Classifier Deep Convolutional Neural Network Training by 9-Bit Dedicated Hardware to Realize Validation Accuracy and Energy Efficiency Superior to the Half Precision Floating Point Format", IEEE International Symposium on Circuits and Systems (ISCAS), May, 2018.

26. S. Akiyama, T. Hirofuchi, R. Takano, "Diagnosing Performance Fluctuations of High-throughput Software for Multi-core CPUs", 6th Workshop on Runtime and Operating Systems for the Many-core Era (ROME), May, 2018.

27. P. Jutadhamakorn, T. Pillavas, V. Visoottiviseth, R. Takano, J. Haga, D. Kobayashi, "A Scalable and Low-Cost MQTT Broker Clustering System," The 2nd International Conference of Information Technology (InCIT 2017), November, 2017.

28. K. Rungsuptaweekoon, V. Visoottiviseth, R. Takano, "Evaluating the Power Efficiency of Deep Learning Inference on Embedded GPU Systems," The 2nd International Conference of Information Technology (InCIT 2017), November, 2017.

29. A. Koshiba, T. Hirofuchi, S. Akiyama, R. Takano, M. Namiki, “Towards Write-back Aware Software Emulator for Non-Volatile Memory”, The 6th IEEE Non-Volatile Memory Systems and Applications Symposium, August, 2017.

30. S. Aketa, T. Hirofuchi, R. Takano, “DEMU: A DPDK-based Network Latency Emulator”, The 23rd IEEE International Symposium on Local and Metropolitan Area Networks, June, 2017.

31. W. Pipatsakulroj, V. Visoottiviseth, R. Takano, “muMQ: A Lightweight and Scalable MQTT Broker”, The 23rd IEEE International Symposium on Local and Metropolitan Area Networks, 6/12-14, 2017.

32. R. Takano, T. Hirofuchi, H. Takahashi, N. Sakaida, K. Shimano, K. Ishii, S. Suda, S. Namiki, T. Kudoh, "Performance-assured Network Function Virtualization for Open and Disaggregated Optical Transport Systems", Optical Fiber Communication Conference (OFC), SDN & NFV Demo Zone, March, 2017.

d. Awards

1. Internet Conference 2004 Best paper award (domestic)

2. IEEE Cluster 2006 Best paper award

3. Internet Conference 2010 Best paper award (domestic)

4. ACM SoCC 2016 Best paper award

5. GCA 2018 Best workshop paper award

6. IEEE/ACM SC 2019 Best paper finalist