Facilities and Resources
The Department recognises the ever-increasing demand for computational power needed in teaching and research. In view of this, the Department has recently deployed four high-performance servers as follows.
|
Server |
Arch. |
Processor |
CPU cores |
Max. Threads |
CPU Clock |
RAM |
Operating system |
|---|---|---|---|---|---|---|---|
|
amaws1 |
X86_64 |
4 x Intel Xeon(R) E7-4890 v2 |
60 |
120 |
3.4 GHz |
1536GB |
CentOS 8.2 |
|
amaws2 |
X86_64 |
4 x Intel Xeon(R) E7-4890 v2 |
60 |
120 |
3.4 GHz |
1536GB |
CentOS 8.2 |
|
amaws3 |
X86_64 |
2 x Intel Xeon(R) E5-2683 v4 + 2 x Tesla K80 GPU |
32 |
64 |
3.0 GHz |
512GB |
Ubuntu 20.04LTS |
|
amaws4 |
X86_64 |
2 x Intel Xeon(R) E5-2683 v4 |
32 |
64 |
3.0 GHz |
64GB |
Ubuntu 20.04LTS |
|
amaws5 |
X86_64 |
2 x AMD EPYC 7742 + |
128 |
256 |
3.4 GHz |
1536GB |
Ubuntu 22.04LTS |
|
amaws6 |
X86_64 |
4 x Intel Xeon(R) Gold 5215 |
40 |
80 |
3.4 GHz |
256GB |
Ubuntu 22.04LTS |
Together with a 128-processor computer cluster with parallel computing capability, these computer facilities can efficiently help staff and students to conduct research on big data analysis and applied mathematics.
While the Mathematics Laboratories are equipped with up-to-date PCs with various software, laser/color printers, projectors and audio visual facilities to support the teaching of mathematics and statistics, the Department has also installed 8 Bloomberg terminals to allow staff and students to obtain updated financial data via the renowned Bloomberg Financial Information System.
