Rockfish cluster at Johns Hopkins University - Large Memory nodes
Johns Hopkins University MARCC
Production Dates: 07/01/2021 - 06/30/2024
Public URL: https://cider.access-ci.org/public/resources/RDR_000900
Description: Johns Hopkins University participates in the ACCESS Federation with its new NSF-funded flagship cluster "rockfish.jhu.edu" 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.
Recommended Use: Jobs that need > 192GB of memory up to 1524GB
User Guide: https://www.arch.jhu.edu/user-guide