The laboratory is equipped with modern computing infrastructure, including a control server, a GPU/CPU compute server, and storage arrays with a total capacity of 300 TB. This infrastructure supports demanding computations, simulations, and the design and testing of machine learning models. Thanks to its network topology, it also enables the secure processing of sensitive data provided by contractual partners. The laboratory is further equipped with measurement devices for generating and annotating physiological signals, creating extensive datasets, and working with microscopic image data. For high-performance numerical computations, we also use the Faculty of Science's computing cluster and storage resources.
Laboratory Equipment Overview
Computing Infrastructure
- 1× control server
- 1× GPU/CPU compute server
- 2× NVIDIA A30
- 4× NVIDIA L4
- 2× AMD EPYC 7513
- 2× storage arrays
- 1× 112 TB
- 1× 180 TB
Measurement Devices
- 1× Cardioline TouchECG HD+ 12 IEC Plug computer ECG
- 1× LP 4113i-T LED laboratory microscope with CMOS 663 digital camera (6.3 MP)
- 1x optical microscope (purpose: images for training image processing models (bright/dark field))
- 1x ECG device (purpose: studying artifacts and training models for their suppression)
- 1x EMG device (purpose: recognizing movement characteristics and disease manifestations from nerve impulses)
Laboratory Computing Cluster
- 4× GPU-accelerated compute nodes
- 1× control server
- 1× storage array
Faculty Computing Cluster
The Faculty of Science operates a high-performance computing cluster. Its specifications are available here.
