Professor C.L. Wang

BS Nat. Taiwan; MS, PhD S. Calif
BEng(CE) Programme Coordinator; Professor


Tel: (+852) 2857 8458
Fax: (+852) 2559 8447
Email: clwang@cs.hku.hk
Homepage: https://www.cs.hku.hk/~clwang

Professor Cho-Li Wang received his B.S. degree in Computer Science and Information Engineering from National Taiwan University in 1985. He obtained his M.S. and Ph.D. degrees in Computer Engineering from University of Southern California in 1990 and 1995 respectively. He is currently a professor at the Department of Computer Science. Professor Wang's research interests include parallel architecture, operating system, performance optimization on heterogeneous multicore systems (GPU/AI chips); high-performance software systems for Cloud Computing, and large-scale Distributed Deep Learning system. Professor Wang has published more than 170 papers in various peer reviewed journals and conference proceedings. He is/was on the editorial boards of  several international journals , including IEEE Transactions on Computers (TC), IEEE Transactions on Cloud Computing, Multiagent and Grid Systems (MGS), Journal of Information Science and Engineering (JISE), International Journal of Pervasive Computing and Communications (JPCC), ICST Transactions on Scalable Information Systems (SIS). He was the program chair for Cluster'03, CCGrid'09, InfoScale'09, and ICPADS'09, ISPA'11, FCST'11, FutureTech'12, and Cluster2012; and the General Chair for IPDPS2012. He has also served as program committee members for numerous international conferences, including IPDPS, CCGrid, Cloud, CloudCom, Grid, HiPC, ICPP, and ICPADS. He is currently a member of China's Supercomputing Innovation Alliance  (超级计算创新联盟) and an executive member of IEEE Technical Committee on Parallel Processing (TCPP). He has been invited to give  keynote and plenary talk s related to Distributed JVM design and  Cloud Computing at various international conferences.

Research Interests

Operating Systems, Virtual Machines and Cloud Computing, Big Data Computing systems, Performance optimization on Manycore, GPU and AI chips, Large-scale Distributed Deep/Machine Learning Systems.

Selected Publications

Recent Research Grants

  • Co-PI: Hong Kong RGC Research Impact Fund (RIF) project entitled “Edge Learning: the Enabling Technology for Distributed Big Data Analytics in Cloud-Edge Environment” (Ref: R5060-19), led by Prof. Guo Song from PolyU. Project period: May 01, 2020 to April 30, 2025.
  • Co-PI: CRF Equipment Fund 2019/20, “X-GPU: An Extreme GPU Cluster for Interdisciplinary Research on Molecular Dynamics Simulations and Genomics Studies”, led by Dr. Xuhui Huang from HKUST.
  • Co-PI: Hong Kong RGC Collaborative Research Fund (C5026-18G) entitled ``Multi-stage Big Data Analytics on Complex Systems: Methodologies and Applications', led by Prof. Jiannong Cao from PolyU. Period: June 28, 2019 to June 27, 2022.
  • RGC's General Research Fund (2016-2019): Big-Little Heterogeneous Computing with Polymorphic GPU Kernels
  • RGC's General Research Fund (2015-2018): Software Architecture for Fault-Tolerant Multicore Computing with Hybridized Non-Volatile Memories
  • Huawei research grant (2015-2017): Big Data Acceleration on GPU-based Heterogeneous Architecture
  • RGC's General Research Fund (2012-2015): Scalable Cloud-on-Chip Runtime Support with Software Coherence for Future 1000-Core Tiled Architectures.
  • Huawei research grant (2012-2013): A New Multikernel OS for High Throughput Computing on Manycore Systems
  • RGC's General Research Fund (2011-2013): Transparent Runtime and Memory Coherence Support for GPU Based Heterogeneous Many-Core Architecture.
  • China 863 Project (2006-2010): 香港大学网格自适应服务技术研究 (CNGrid HKU Grid Point).