Computing Infrastructure

Our lab provides all the necessary peripheral services (desktops, monitors, printers) and two powerful High-Performance Computing (HPC) clusters for research applications, intense data analysis, and complex simulations. Moreover, two desktops equipped with GPUs are used for Deep Learning applications and video processing/analysis.
  • The central HPC cluster consists of 624 cores, 3.3 TB of shared RAM, and 20 TB of High-Throughput storage. The secondary HPC consists of 96 cores and 512 GB of shared RAM connected to our storage devices and is used mainly for sandbox testing without occupying the central cluster’s resources.
  • We use a server consisting of 40 Intel(R) Xeon(R) Silver 4210R CPU @ 2.40GHz cores for standalone operations.
  • The first GPU machine consists of the Intel(R) Core (TM) i7-8700K CPU @ 3.70GHz processor and two NVIDIA GeForce GTX 1080 Ti GPUs, and the second machine consists of Intel(R) Core (TM) i7-9700 CPU @ 3.00GHz processor and one NVIDIA GeForce RTX 2080 Ti GPU.
  • Other services (e.g., web page, login appliance, backup agent, etc.) run as virtual machines on dedicated servers.

All components of our computational infrastructure are connected via high-throughput cables.