The Information Research Laboratory is a computational laboratory designed to support a broad variety of research projects in communications, signal processing, optimization, and multimedia processing. Current and recent research projects encompass wireless communications over doubly-dispersive channels, machine-learning based signal processing for NOMA wireless channels and magnetic recording channels, signal detection in 2D intersymbol interference, distributed data mining, wireless networks-on-chip, coded modulation for wireless channels, and joint source-channel coding.
Computational resources of the IRL consist of
- Eight PC workstations running Linux and Windows 11.
- A Linux-based sixteen-node Beowulf cluster connected by a high-speed local network, which is accessible to the department network through a gateway machine. The cluster includes a server with 20 CPU cores and two NVIDIA GPUs.
Attached are peripherals useful for research in signal processing, communications, and optimization, including
- a projector and large screen for IRL seminar presentations
- a high-speed ATM network with connections to nearby faculty and student offices
- printers
- scanners