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Fostering Accelerated Scientific Transformations, Education, and Research (FASTER) is a NSF-MRI-funded cluster (award number 2019129) that offers state of the art CPUs, GPUs, and NVMe (Non-Volatile MemoryExpress) based storage in a composable environment. The supercomputer uses an innovative composable software-hardware approach to let a researcher attach GPUs to CPUs depending on their workflow. Unlike traditional cluster architectures, each rack on FASTER hosts a stack of GPUs that are shared with the CPU-hosting nodes. Using a standard Slurm script, a researcher can choose to add 10 GPUs to their CPU-node request. The machine will specifically help researchers using workflows that can benefit from simultaneous access to several GPUs, surpassing accelerator limits imposed on conventional supercomputers.


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Lisa Perez
Texas A&M University
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