Huiyang Zhou

Huiyang Zhou received the bachelor's degree in electrical engineering from Xian Jiaotong University, China, in 1992 and the Ph.D. degree in computer engineering from North Carolina State University in 2003. He is a professor in the Department of Electrical and Computer Engineering at North Carolina State University. Between 2003 and 2009, he was an assistant professor at the School of Electrical Engineering and Computer Science, University of Central Florida. His research focuses on high performance microarchitecture, low-power design, GPU Computing (General Purpose computing on Graphics Processing Units or GPGPU), OpenCL for FPGA, architecture support for system dependability, and backend compiler optimization. He is a recipient of NSF CAREER award and a senior member of the ACM and IEEE.

Education

2003 - Ph.D. in Computer Engineering, North Carolina State University, USA
1998 - M.E., National University of Singapore, Singapore
1995 - M.E., Xian Jiaotong University, P. R. China
1992 - B.E., Xian Jiaotong University, P. R. China

Awards & Honors

Publications

• Exploring Convolution Neural Network for Branch Prediction (2020)
• Coordinated CTA Combination and Bandwidth Partitioning for GPU Concurrent Kernel Execution (2019)
• Exploring Memory Persistency Models for GPUs (2019)
• Quantum Circuits for Dynamic Runtime Assertions in Quantum Computation (2019)
• Quantum Circuits for Dynamic Runtime Assertions in Quantum Computation (2019)
• Quantum Circuits for Dynamic Runtime Assertions in Quantum Computation (2019)
• Scatter-and-Gather Revisited: High-Performance Side-Channel-Resistant AES on GPUs (2019)
• Developing Noise-Resistant Three-Dimensional Single Particle Tracking Using Deep Neural Networks (2018)
• GPU performance vs. thread-level parallelism: Scalability analysis and a novel way to improve TLP (2018)
• Developing dynamic profiling and debugging support in OpenCL for FPGAs (2017)