Rockfish cluster at Johns Hopkins University - Large Memory nodes
Resource Type
Latest Status

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) Large Memory nodes are intended for applications that need more than 192GB or memory (up to 1.5TB), machine learning and data analytics. Each large memory node consists of two Intel Xeon Gold Cascade Lake (6248R) processors with 1,524GB of memory, 3.0GHz base frequency, 48 cores per node 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.

Is an ACCESS Allocated Production Compute resource
General compute use
Resource is allocated by ACCESS
Specialized analysis nodes with large memory
An intuitive, innovative, and interactive interface to remote computing resources
Organization Name
Johns Hopkins University MARCC
Global Resource ID