Resources

In KhaledLab

Flagship workstation

Lenovo ThinkStation P8

Large-scale capability for training and evaluating graph and hypergraph neural networks, foundation models, LLMs, and multimodal AI systems.

288 GBTotal GPU memory

3×NVIDIA RTX PRO 6000 Blackwell Max-Q, 96 GB GDDR7 each

512 GBDDR5 ECC memory

24 coresAMD Threadripper PRO 7965WX, up to 5.3 GHz

8 TBPCIe Gen4 NVMe SSD

Development workstation

Dell Pro Max Tower T2

Intel Core Ultra 5 235 (14 cores), 16 GB DDR5, NVIDIA RTX PRO 2000 Blackwell (16 GB). For prototyping, preprocessing, and visualization.

Interactive display

ViewSonic ViewBoard

For research meetings, mentoring, code reviews, and visualizing experiments.

Tablet

iPad Air 11″ with Apple Pencil Pro

For annotating papers, presentations, and demos of research prototypes.

School of Computing

Shared across the school

GPU server

2× NVIDIA A100

2× Intel Xeon Gold 6338 (64 cores, 128 threads), 512 GB RAM, Rocky Linux 9.

Storage cluster

64+ TB

4× Dell T630 servers with software-defined object, block, and POSIX filesystem storage.

Data center & compute nodes

On-site

A secure data center plus distributed computation nodes for large-scale processing and model testing.

University

Available campus-wide

BigDawg supercomputer

SIUC Research Computing

High-performance cluster for large-scale and data-intensive experiments.

34.7TFLOPS peak

800CPU cores

4×NVIDIA L40S GPUs

48 TBUsable storage