The Neuronix high performance computing cluster allows us to
conduct big data machine learning research. Some of our
current projects being enabled by this cluster include:
providing decision support to neurologists by automatically
interpreting EEG signal events.
identification of patients who are most similar to a target
patient so that neurologists can better diagnose abnormalities
in an EEG.
The world's largest publicly available EEG corpus representing
14 years of clinical EEGs collected at Temple University Hospital.
The Neuronix cluster was funded by the
National Human Genome Research Institute of the
NIH under award number U01HG008468ß.
To learn more about the cluster, see our
Information about the hardware vendor can be found
- File Server (1): 2x Intel Xeon (4 Cores) @
3.0 GHz with 32 GB DDR4
- Disk Space: 21 TB HDD, 0.5 TB SSD/node
- Compute Nodes (4): 2x AMD Opteron (16 Cores) @
2.4 with 128 GB DDR3
- Operating System: CentOS
Software Control: Warwulf (provisioning),
Torque (resource management), and Maui (scheduling).
Administration: Nagios (monitoring), Ganglia (data logging).