Continuum Computing Infrastructure Research Team

Team Outline

Computing Continuum Infrastructure Research Team

From the Cloud to Edge and Devices, we study hardware technologies and system software technologies supporting Continuum Computing.

While the Cloud requires throughput-oriented technologies, the Edge requires latency-oriented technologies. We tackle research issues on throughput improvement, real-time assurance and energy saving, through an interdisciplinary approach to hardware and software co-design.

For hardware and software co-design, our research is based on emerging semiconductor technologies and photonics technologies, in collaboration with the Department of Electronics and Manufacturing at AIST, and different universities and research institutes.

Research topics:
- High-throughput virtualization: Enabling high-performance processing by exploiting emerging semiconductor technologies and photonics technologies.
- Low-power, low-latency virtualization: Achieving energy-efficient, real-time processing toward 5G/6G communication.
- Error-permissive computing: Realizing drastic performance improvement and power reduction by controlling reliability in computer hardware.




Sunil Kumar Maurya, Xin Liu, and Tsuyoshi Murata, "Graph neural networks for fast node ranking approximation", ACM Transactions on Knowledge Discovery from Data, vol.15, no.5, article 78, 2021


Nuttapong Chairatanakul, Xin Liu, Tsuyoshi Murata, "PGRA: projected graph relation-feature attention network for heterogeneous information network embedding", Information Sciences, vol.570, pp.769-794, 2021


Zhaonan Wang, Tianqi Xia, Renhe Jiang, Xin Liu, Kyoung-Sook Kim, Xuan Song, and Ryosuke Shibasaki, "Forecasting ambulance demand with profiled human mobility via heterogeneous multi-graph convolution network", Proceedings of the 37th IEEE International Conference on Data Engineering (ICDE'21), pp.1751-1762, 2021


Hibiki Taguchi, Xin Liu, and Tsuyoshi Murata, "Graph convolutional networks for graphs containing missing features", Future Generation Computer Systems, vol.117, pp.155-168, 2021


Yugo Yamauchi, Akram Ben Ahmed, Kazuei Hironaka, Kensuke IIzuka, Hideharu Amano, "Horizontal division of deep learning applications with all-to-all communication on a multiFPGA system", 8th International Symposium on Computing and Networking Workshop (CANDARW), pp. 277-281, November 2020.


Khanh N. Dang, Akram Ben Ahmed, Fakhrul Zaman Rokhani, Abderazek Ben Abdallah, and Xuan-Tu Tran, "A thermal distribution, lifetime reliability prediction and spare TSV insertion platform for stacking 3D NoCs", 2020 International Conference On Advanced Technologies For Communications (ATC), pp. 50-55, November 2020.


Julien Leblay, Melisachew Wudage Chekol, Xin Liu, "Towards temporal knowledge graph embeddings with arbitrary time precision", Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM'20), pp.685-694, 2020


Kouki Ozawa, Takahiro Hirofuchi, Ryousei Takano, Midori Sugaya, "fogcached: DRAM-NVM Hybrid Memory-Based KVS Server for Edge Computing", Edge Computing - EDGE 2020 (4th International Conference, Held as Part of the Services Conference Federation, SCF 2020), pp.50-62, Springer Science and Business Media, Sep 2020


Khanh N. Dang, Akram Ben Ahmed, Abderazek Ben Abdallah, Xuan-Tu Tran, "A thermal-aware on-line fault tolerance method for TSV lifetime reliability in 3D-NoC systems", IEEE Access, IEEE, Volume 8, pp. 166642-166657, September 2020.


Khanh N. Dang, Akram Ben Ahmed, Yuichi Okuyama, Abderazek Ben Abdallah, "Scalable design methodology and online algorithm for TSV-cluster defects recovery in highly reliable 3D-NoC systems", IEEE Transactions on Emerging Topics in Computing (TETC), IEEE, Volume 8, Issue 3, pp. 577-590, July 2020.


Takahiro Hirofuchi, Ryousei Takano, "A Prompt Report on the Performance of Intel Optane DC Persistent Memory Module", IEICE Transactions on Information and Systems, pp.1168-1172, Vol.E103-D, No.5, IEICE, May 2020


Takahiro Hirofuchi, "Virtualization for Emerging Memory Devices", IEEE Symposium on Low-Power and High-Speed Chips and Systems (COOL Chips 23), IEEE, Invited Talk, Apr 2020


M. M. Imdad Ullah, Akram Ben Ahmed, Hideharu Amano, "Implementation of FM-Index Based Pattern Search on a Multi-FPGA System", 16th International Symposium on Applied Reconfigurable Computing, ARC 2020, pp. 376-391, April 2020


Khanh N. Dang, Michael Meyer, Akram Ben Ahmed, Abderazek Ben Abdallah, and Xuan-Tu Tran, "A non-blocking non-degrading multi-defect link test method for 3D-Networks-on-Chip", IEEE Access, IEEE, Volume 8, pp. 59571 - 59589, March 2020.


Khanh N. Dang, Akram Ben Ahmed, Ben Abdallah Abderrazak and Xuan-Tu Tran, "TSV-OCT: A Scalable Online Multiple-TSV Defects Localization for Real-Time 3-D-IC Systems", IEEE Transactions on Very Large Scale Integration Systems (TVLSI), IEEE, Volume 28, Issue 3, pp. 672 - 685, March 2020.


Hideharu Amano, Akram Ben Ahmed, Kazuei Hironaka, Kensuke Iizuka, Yugo Yamauchi, M. M. Imdad Ullah, Yuxi Sun, Miho Yamakura, Aoi Hiruma, Tomotaka Shimizu, Kohei Ito, "Flow-in-Cloud: a Scalable multi-FPGA system for HPC", HiPEAC2020 EuroEXA workshop, January 2020, Bologna


Researcher Profile

Team Leader


System Software, Virtualization, Edge Computing
Xin Liu
Senior Resercher

Xin Liu

Graph & Network Analytics, Data Mining, Machine Learning, and Deep Learning


Low-power Embedded Systems, Fault-tolerance & Reliability, On-Chip Interconnection


Graph data processing, Machine learning