Rchr
J-GLOBAL ID:201801007627507278   Update date: Sep. 01, 2020

Nguyen Truong Thao

Nguyen Truong Thao
Affiliation and department:
Job title: Researcher
Research field  (2): High-performance computing ,  Computer systems
Research keywords  (3): Distributed Deep Learning ,  network architecture ,  Distributed System
Research theme for competitive and other funds  (1):
  • 2019 - 2022 Exploring large-scale design of distributed deep neural networks
Papers (15):
  • Truong Thao Nguyen. Efficient MPI-Allreduce for Large-Scale Deep Learning on GPU-Clusters. Concurrency and Computation Practice and Experience, Special Issue on Parallel and Distributed Computing and Networking. 2019
  • Truong Thao Nguyen, Ryousei Takano. On the Feasibility of Hybrid Electrical/Optical Switch Architecture for Large-Scale Training of Distributed Deep Learning. 2019
  • Truong Thao Nguyen. Topology-aware Sparse Allreduce for Large-scale Deep Learning. 38th IEEE International Performance Computing and Communications Conference. 2019
  • Truong Thao Nguyen, Hiroki Matsutani, Michihiro Koibuchi. Low-Reliable Low-Latency Networks Optimized for HPC Parallel Applications. 2018 IEEE 17th International Symposium on Network Computing and Applications (NCA). 2018. 1-10
  • Truong Thao Nguyen, Mohamed Wahib, Ryousei Takano. Hierarchical Distributed-Memory Multi-Leader MPI-Allreduce for Deep Learning Workloads. 3rd International Workshop on GPU Computing and AI. 2018
more...
Lectures and oral presentations  (1):
  • Cable-geometric error-prone approach for low latency interconnection networks
    (18th SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP ’18), Tokyo, Japan 2018)
Professional career (1):
  • Ph.D. (The Graduate University of Advanced Studies)
Work history (5):
  • 2019/10 - 現在 National Institute of Advanced Industrial Science and Technology (AIST) Department of Information Technology and Human Factors Research Promotion Division of Information Technology Researcher
  • 2018/04 - 2019/09 National Institute of Advanced Industrial Science and Technology (AIST) AIST-Tokyo Tech Real World Big-Data Computation Open Innovation Laboratory (RWBC-OIL) Posdoctoral Researcher
  • 2015/04 - 2018/03 Department of Informatics, School of Multidisciplinary Sciences, The Graduate University for Advanced Studies (SOKENDAI) Ph.D. candidate
  • 2012/09 - 2014/10 School of Information and Communication Technology (SOICT), Hanoi University of Science and Technology (HUST) Graduate student
  • 2006/09 - 2011/07 School of Information and Communication Technology (SOICT), Hanoi University of Science and Technology (HUST) Undergraduate student
Awards (5):
  • 2018/11 - 3rd International Workshop on GPU Computing and AI (GCA) Best Paper Award Hierarchical Distributed-Memory Multi-Leader MPI-Allreduce for Deep Learning Workloads
  • 2017/05 - 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)2017 Best Poster Award Cable-geometric error-prone approach for low-latency interconnection networks
  • 2017/03 - National Institute of Informatics, Japan Best Student Award
  • 2016/12 - The 7th International Symposium on Information and Communication Technology (SoICT 2016) Best Paper Runner-up Award A Diagonal Cabling Approach to Datacenter and HPC Systems
  • 2015/04 - Honors Scholarship for Privately Financed International Students, JASSO, Japan
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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