The CIS department has more than 250 PCs and GPU workstatons. Courses is supported by two teaching labs with 64 and 22 sets of computers respectively and some computer rooms with at least 45 PCs per room. Each room are equipped with 1-2 LCD projectors, high speed laser printer etc. Some powerful GPU workstations with advanced GPU graphics cards are also available in the teaching labs.
Moreover, the Department also runs a number of research labs with specific hardware and software to support different research. For example, the Natural Language Processing & Portuguese-Chinese Machine Translation Laboratory is for the purpose of providing working area with facilities for research and development of Natural Language Processing and Machine Translation related areas.
In addition, the department also has several sets of rack-mounted servers, CPU and GPU clusters to support different research projects such as AI, Deep Learning etc that need to use large amount of computing and system resources.
All the computing facilities in different teaching and research labs are connected to UM's backbone network through gigabit or 10 gigabit Ethernet.
- HPC System
- 4 compute node (each node: 2 x Intel Xeon E5-2670 2.60GHz, 20M Cache, CPU / 128GB ECC RDIMM 1600Mhz RAM)
- Storage: 5.5TB
- OS: Rocks Cluster 6.0 (based on Centos 5/6)
- VM Server
- 2 x Intel E5-2630v4 Xeon (10 Core, 8 GT/s QPI, 25M Cache, 2.20 GHz) CPU
- 96GB (6 x 16GB) DDR4 1Rx4 2400 MHz registered ECC Memory
- 3 x 1.8TB 2.5" Hard Drive
- OS: VMware EXSI 6.x
- GPU Server
- 2 x Intel Xeon E5-2630 v3 2.4GHz (20M Cache, 8.00GT/s QPI, Turbo, HT, 8C/16T) (85W) CPU
- 64GB (4 x 16GB) RDIMM 2400MT/s Dual Rank x8 Data Width Memory
- 2 x 1.2TB Hard Drive
- NVIDIA Tesla K80 GPU
- OS: Ubuntu
For any application to use above facilities, please contact William (Email: williams, Tel: 8822-4285) for discussion and arrangement.