High performance parallel computing is accomplished by organizing and orchestrating parallel processing across multiple computers. In this lecture, I will give a brief introduction to parallel computing and also cover the design, implementation and evaluation of selected algorithms in scientific computing, including parallel linear algebra, statistical physics and many-body algorithms.
ChiYung Yam received his B.Sc. (1999) and Ph.D. (2004) from the University of Hong Kong. After postdoctoral training in University of Hong Kong and University of Bremen, he joined Beijing Computational Science Research Center in 2013 as an assistant professor. In 2013, he received the 1000 Young Talent Program of China and Excellent Young Researcher Award by NSFC. Research Interest：Developing linear-scaling quantum mechanical methods, quantum transport and electronic device simulations.
1. Multiscale Quantum Mechanics/Electromagnetics Method for Device Simulations ChiYung Yam, Lingyi Meng, Yu Zhang and GuanHua Chen Chem. Soc. Rev. (2015), DOI: 10.1039/C4CS00348A
2. Quantum-Mechanical Prediction of Nanoscale Photovoltaics Yu Zhang, LingYi Meng, ChiYung Yam and GuanHua Chen, J. Phys. Chem. Lett. 5, 1272 (2014).
3. A multi-scale modeling of junctionless field-effect transistors ChiYung Yam, Jie Peng, Quan Chen, Stanislav Markov, Jun Z. Huang, Ngai Wong, Weng Cho Chew and GuanHua Chen, Appl. Phys. Lett. 103, 062109 (2013).