Expertise

Dr. Dingwen Tao's research interests include high-performance computing (HPC), parallel and distributed system, big data analytics, scientific data management, fault tolerance and resilience, and large-scale machine learning.

Dingwen's research interests include high-performance computing (HPC), parallel and distributed systems, large-scale machine learning, scientific data management and visualization, fault tolerance and resilience, etc.

Research interests:

  • High-performance computing
  • Scientific data compression
  • GPU and FPGA acceleration
  • Computational storage
  • Cloud computing (e.g., Cloud HPC)
  • Distributed machine/deep learning
  • Numerical algorithms and simulations
  • Quantum computing
Past Affiliations

Assistant Professor, School of Electrical Engineering and Computer Science, Voiland College of Engineering and Architecture, Washington State University Pullman, Washington State University (past)
2020

PhD Student, Computer Science & Engineering Department, Marlan and Rosemary Bourns College of Engineering, University of California, Riverside (past)

Assistant Professor, Department of Computer Science, College of Engineering, University of Alabama (past)

Communities
Computer Science, Electrical Engineering
Degrees
PhD, University of California, Riverside, Computer Science, 2018
BS, University of Science and Technology of China, China, Mathematics, 2013
Keywords
artificial intelligence or cybernetics computer architecture cybersecurity distributed system parallel algorithms parallel programming parallel processing high performance computing machine learning parallel computer architecture
Honors

Computer Society TCHPC Early Career Researchers Award for Excellence in High Performance Computing, Institute of Electrical and Electronics Engineers, 2020

Associations
Institute of Electrical and Electronics Engineers
Association for Computing Machinery