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Rockfish cluster at Johns Hopkins University - GPU nodes


Johns Hopkins University participates in the ACCESS Federation with its new NSF-funded flagship cluster "" funded by NSF MRI award #1920103 that integrates high-performance and data-intensive computing while developing tools for generating, analyzing and disseminating data sets of ever-increasing size. The cluster will contain compute nodes optimized for different research projects and complex, optimized workflows. Rockfish (10) GPU nodes are intended for applications that need gpu-processing, machine learning and data analytics. Each gpu node consists of two Intel Xeon Gold Cascade Lake (6248R) processors with 192GB of memory, 3.0GHz base frequency, 48 cores per node, (4) Nvidia A100 GPUs and 1TB NVMe for local storage. All compute nodes have HDR100 connectivity. In addition, the cluster has access to several GPFS file systems totaling 10PB of storage. 20% of these resources will be allocated via ACCESS.

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Johns Hopkins University MARCC