We provide superior environments to advance students’ and other project-oriented researches.
Personal computing environment
- One Windows laptop per student
- One Linux PC per student (GPU-equipped if needed)
Shared computation servers
- A 7-node computing cluster with 504 CPU cores and 900GB memory
- A fast distributed file system with the capacity of 110TB
- GPU servers for deep learning-related research
- GeForce TITAN X: 23 boards
- GeForce GTX 1080: 20 boards (2 boards ร 10 servers)
- GeForce GTX 1080 Ti: 38 boards (2 boards ร 15 servers + 4 boards x 2 servers)
Facilities
- EEG: Brain Products BrainAmp 32 channel, Cognionics 32 channel headset, EMOTIV EPOC+
- Eye tracker: Tobii X2-30, Tobii 4C
- Biomedical signal measuring devices: Empatica E4, Shimmer3 GSR