Parallel and Distributed Computing

Intro.: Parallel and distributed computing has offered the opportunity of solving a wide range of computationally intensive problems by increasing the computing power of computer systems. Although important improvements have been achieved in this field in the last 30 years, there are still many important challenges. They arise from several broad areas, such as the design of parallel systems and scalable interconnects, the evolution of computer architectures, and the development of algorithms and applications. Now, we are focusing on the architecture, system software, resource management and applications about parallel and distributed computing. The research area involves cloud platform based on virtualization, real-time massive data processing, resource management in datacenters, resource scheduling on multi/many cores, Embedded and Pervasive Computing, in-memory computing, data-centric computing and so on.

Contact: Prof. Song Wu,


Chen Han Hua Chen Min                     Dai Wei Qi Ding Xiao Feng                     Gu Xi Wu                     Gu Lin Han Jian Jun
                    Hu Kan                     Hua Qiang Sheng Jiang Wen Bin                     Jin Hai Li Yu Hua Liao Xiao Fei Liu Fang Ming
                    Liu Hai Kun Lu Feng                     Lu Xin Qiao Ma Xiao Jing Qiang Wei Zhong Shao Zhi Yuan                     Shi Xuan Hua
                    Wang Duo Qiang Wen Kun Mei Wu Song Xie Xia Xu Peng                     Yang Tian Ruo                     Yu Dong Xiao
Yu Chen                     Yuan Ping Peng Zhao Feng Zhen Ran Zou De Qin                     Xiao Jiang                     Wang Wei


Research area:

1.  Cloud platform and datacenter resource management

2.  System-level and OS-level virtualization

3.  In-memory computing system based on NVM

4.  Programming model and runtime system

5.  Big data processing system

6.  Intelligent and Distributed Computing

7.  Embedded and Pervasive Computing for IoT