Dr. Hantao Xiong | High-Performance Computing | Best Researcher Award
Ph.D. Researcher at Hunan University | China
Dr. Hantao Xiong is an emerging researcher specializing in high-performance computing (HPC) with a focus on sparse linear systems, parallel algorithms, and numerical methods. He is currently pursuing a Ph.D. in Computer Science and Technology at Hunan University, with joint research training at the Barcelona Supercomputing Center under the supervision of renowned experts Prof. Wangdong Yang, Prof. Kenli Li, and Researcher Marc Casas. Dr. Xiong combines strong theoretical foundations with extensive hands-on experience in algorithm-hardware co-design, machine learning for scientific computing, and large-scale HPC applications. He has demonstrated leadership in high-impact research projects, industry collaboration, and technical innovation.
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Education Details
The individual is currently pursuing a Ph.D. in Computer Science and Technology at Hunan University, China, under the supervision of Prof. Wangdong Yang and Prof. Kenli Li. As part of an international collaboration, they are also engaged in a joint Ph.D. program at the Department of Computer Science, Barcelona Supercomputing Center, Spain, under the guidance of researcher Marc Casas. They hold a Master’s degree in Computer Science and Technology from Hunan University, where they conducted research under Prof. Kenli Li. Their academic journey began with a Bachelor’s degree in Information Engineering from Hunan Agricultural University, China.
Professional Experience
Research Interests
My research interests lie in high-performance computing (HPC) and the development of exascale systems, with a particular focus on solving sparse linear systems using advanced preconditioners. I work extensively on the design and optimization of parallel algorithms tailored for SIMD architectures, emphasizing algorithm-hardware co-design to achieve optimal performance. I am also exploring the integration of machine learning techniques into numerical methods to enhance their adaptability and efficiency. Additionally, I contribute to the creation and analysis of large-scale benchmark datasets to support innovation in scientific computing.
Awards and Honors
Recipient of the prestigious Huawei Spark Award, recognized for outstanding contributions to innovative research. Achieved Third Prize in the Solver Challenge and earned Second Prize in Category C of the National College English Competition, demonstrating both technical and communication excellence. Honored as Best Newcomer in the JD Business Growth Division and consistently delivered top-tier performance, receiving the highest performance rating (A) for two consecutive cycles at JD.com.
Publication Top Notes
A Multimodal Machine Learning Method for the Auto-selection of Iterative Solvers and Preconditioners.
A Large-scale Benchmark Dataset for the Auto-selection of the Optimal Combination of Iterative Solvers and Preconditioners.
Generating Sparsity Patterns for Inverse Preconditioning on SIMD Architectures.
A Multi-block Grids Load Balancing Algorithm with Improved Block Partitioning Strateg
Conclusion
Dr. Hantao Xiong demonstrates outstanding potential as an innovative and impactful researcher in high-performance computing and scientific computing methods. His robust academic training, successful industry collaboration, notable technical contributions, and recognition through competitive awards reflect his dedication, originality, and drive for research excellence. He is well-positioned to continue advancing the field with high-quality research, practical solutions, and leadership in both academia and industry.