Cheaha Supercomputer

UAB IT Research Computing maintains the Cheaha Supercomputer. Named after Cheaha Mountain, the highest natural point in Alabama, Cheaha is currently the largest and fastest supercomputer in the state with a theoretical throughput of approximately 528 TFLOPS. It consists of over 3,500 CPU cores and 72 NVIDIA P100 GPUs, supported by a high-speed parallel filesystem that can store 6 PB of data interconnected by a high-speed InfiniBand network.

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Reduced Time

Saves time by accelerating complex simulations from weeks to just a few hours, thereby significantly expediting research and development processes.

Accelerated Pipelines

Leverages parallel processing, optimized algorithms, and specialized hardware to significantly reduce the time required for data analysis, transformation, and visualization.

Image Processing

Distributes computational workloads across multiple processors, enabling real-time analysis and enhancing the quality of results in applications like medical imaging, remote sensing, and video analytics.

Easy Access

Use Jupyter notebooks, R, and other analytical tools on the cluster through your web browser. See our documentation

Storage

There are multiple locations for data storage both on and off Cheaha each with a specific purpose. We assist you in identifying the storage platform that best suits your specific use-case requirements. See this page for details.

Request an Account

These instructions are for researchers at UAB to request their own accounts on Cheaha using the Open OnDemand web portal.

Navigate to https://rc.uab.edu and authenticate with your UAB credentials. Once you submit, your BlazerID and full name will already be filled in based on your authentication credentials. Please fill out a reason for needing a Cheaha account and press Create Account. Your account should be created and ready to use. Cheaha does not support uabmc email addresses for login credentials. To use Cheaha, you will need either a BlazerID or access through XIAS .

Additional Learning Resources

• Cheaha Getting Started
• Slurm Queue Management
• External Collaboration
• Research Computing System Wiki

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