Junwei Zhou (周俊伟)

I am a Master’s student at University of Michigan, Ann Arbor, majoring in Computer Science and Engineering. Before coming to Umich, I obtained my Bachelor’s degree in Geophysics and Computer Science (Dual) from University of Science and Technology of China in 2021, advised by Prof. Daoyuan Sun, Prof. Xinming Wu and Prof. Defu Lian.

My research interests include Computer Graphics (especially physics-based simulation) and Machine Learning. I also have research experience in High Performance Computing.

selected publications

A High Performance Computing Method for Noise Cross-Correlation Functions of Seismic Data

Junwei Zhou, Qian Wei, Chao Wu, and 1 more author

In 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), Sep 2021

Abs PDF

Calculation of noise cross-correlation functions (NCF) plays an important role in ambient noise imaging which is a vital seismic method to obtain Earth inner structures. To raise the resolution of the imaging results, we need more seismic data for imaging. However, as the size of seismic data increases, the serial algorithm for NCF calculation becomes much more time-consuming. Thus, how to accelerate the NCF calculation becomes a key problem in ambient noise imaging. Based on the analysis of serial algorithm, we proposed a new parallel algorithm for NCF calculation using NVIDIA GPU platform. In addition, we improved reading and writing strategy to reduce I/O consumption. Experimental results on real seismic data show the effectiveness of our method. The parallel program achives about 1861 times speedup.
Parallel Ambient Noise Data Processing Algorithm based on CPU-GPU Platform

Chao Wu, Qian Wei, Junwei Zhou, and 2 more authors

In Submission, 2023