Honghui Shang

Biography
Honghui Shang is currently an Associate Professor of Computer Science at the Institute of Computing Technology, Chinese Academy of Sciences, China.
She received the Bachelor's degree in Physics and the Ph.D degree in Physical Chemistry from the University of Science and Technology of China, in 2006 and 2011, respectively. Between 2012 and 2018, she worked as a Postdoctoral Researcher at the Fritz Haber Institute of the Max Planck Society, Berlin, Germany. Her main research interests are developing the physical algorithms or numerical methods for the scientific calculations as well as accelerating these applications on the high-performance computers. Currently, she is the main developer of FHI-aims (leader of the density-functional perturbation theory part) and HONPAS (leader of the hybrid-density-functional part).
She received the Bachelor's degree in Physics and the Ph.D degree in Physical Chemistry from the University of Science and Technology of China, in 2006 and 2011, respectively. Between 2012 and 2018, she worked as a Postdoctoral Researcher at the Fritz Haber Institute of the Max Planck Society, Berlin, Germany. Her main research interests are developing the physical algorithms or numerical methods for the scientific calculations as well as accelerating these applications on the high-performance computers. Currently, she is the main developer of FHI-aims (leader of the density-functional perturbation theory part) and HONPAS (leader of the hybrid-density-functional part).
Presentations
ACM Gordon Bell Finalist
Awards Presentation
Accelerator-based Architectures
Computational Science
Extreme Scale Comptuing
Performance
Quantum Computing
Scientific Computing
TP
Paper
Applications
TP
Paper
Algorithms
Applications
Machine Learning and Artificial Intelligence
Numerical Algorithms
TP
Workshop
Online Only
Algorithms
Architectures
Extreme Scale Comptuing
Heterogeneous Systems
Memory Systems
Parallel Programming Languages and Models
Resource Management and Scheduling
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Paper
Algorithms
Applications
Architectures
Quantum Computing
TP