Welcome to Our Resources Hub
Whether you're new to high-performance computing (HPC) or looking to expand your skills, this page provides essential guides, training, and connections to help you succeed. Explore the sections below to get started and make the most of TAMUSA's research computing resources.
CAMSA Cluster Technical Details
Cluster Overview
CAMSA delivers 3.6 PF peak performance and 40 TB of high-performance storage. It supports diverse workloads from AI and data science to large-scale simulations, leveraging cutting-edge accelerators and high-speed networking.
Node & Processor Details
CAMSA includes 49 CPUs and 968 cores, built on Intel Xeon Gold processors. Node types include:
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Head Nodes (PowerEdge R650)
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Login Nodes (PowerEdge R650)
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Compute Nodes (PowerEdge R420 & C6420)
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GPU Nodes (PowerEdge R750)
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Storage Nodes (PowerEdge R650 NFS)
Accelerators & GPUs
CAMSA features a rich accelerator testbed with Intel MAX GPUs, Intel FPGAs, NVIDIA GPUs, and Graphcore IPUs, enabling advanced research in AI, ML, and data-intensive computing.
Networking & Interconnect
The cluster uses Mellanox HDR InfiniBand switches for ultra-fast, low-latency interconnects, alongside Dell S3048-ON Ethernet switches providing flexible connectivity options.
Storage & Rack Information
Storage nodes provide 1.92 TB SSDs per node and a total of 40 TB high-performance storage. The cluster is housed in Chatsworth racks with AP8865 PDUs to ensure reliable power and cooling.
Software & Scheduler
CAMSA runs Red Hat Enterprise Linux for HPC on head nodes, managed with Bright Cluster Manager and SLURM scheduler. Available software includes Python3, Jupyter, GPU-compute images, Singularity containers, and MPI libraries.