Computational Matters

Computing Facilities

The Department of Statistics provides the following state-of-the-art computing facilities for teaching and research purposes, which are managed by the Statistical Laboratory Management Committee.

  • PCs: 
    • We have two Statistical/Risk Management Science Laboratories, totally equipped with 112 PCs, for both undergraduate and postgraduate students' use.
    • Each postgraduate student is provided with a desktop with Intel Core i7 CPU with 8 GB main memory.
    • All PCs are driven by Microsoft Windows 7 Enterprise Edition. Common application software such as Microsoft Office 2010 Professional Plus, MATLAB, R, SAS and IBM SPSS Statistics are installed. The Department provides printing services on each PC.

  • Linux Servers: 
    • There are three high speed Linux workstations for general purpose computing. Two of them are both equipped with dual Intel 6-Core Xeon CPUs and 48 GB main memory. The other is equipped with Intel Quad-Core Xeon CPU and 24 GB main memory.

  • High-Performance Computing (HPC) Cluster: 
    • The department is also pleased to provide HPC service for faculty members and students whose work requires intensive computations. HPC services are supported by our high performance Linux cluster. The cluster is particularly used for solving complex computational problems and it provides computing power to handle various big data research activities in the area of genomic, bio-informatics and so on. The current configuration of our Linux cluster involves three nodes for job submission/program development and storage, plus twenty three nodes for computing purposes. The nodes range from single Intel Xeon CPU to dual Intel Xeon CPUs, with between 8 to 24 cores. Main memory ranges from 64 GB to 256 GB. All machines inside the cluster are connected by using Gigabit switches. In total, the cluster has 404 CPU cores to support the large-scale data analytics computation.

Our university also provides the following computing facilties/services:

Online Computing Resources

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