Data Management Plan for Funding Agencies

The Northeastern Research Computing (RC) team provides high-end research computing resources to all Northeastern University-affiliated faculty, researchers, and students. The team also manages Northeastern’s partnership with the Massachusetts Green High Performance Computing Center (MGHPCC). Resources available to the Northeastern community include a centralized high-performance computing (HPC) cluster, storage, software, high-level technical and scientific consultations, education, documentation, and training. All of these resources are accessible to all faculty and students, with RC staff available to assist researchers through consultations on how to leverage hardware and software for scientific applications and workflows.

As of August 2024, the Discovery cluster provides access to over 50,000 CPU cores and over 525 GPUs to all Northeastern faculty and students free of charge. Hardware currently available for research consists of a combination of Intel Xeon (Cascadelake, Skylake, Broadwell, Haswell, Sandybridge and Ivybridge) and AMD (Zen, Zen2) CPU microarchitectures. Additionally, a selection of NVIDIA Pascal (P100), Volta (V100), Turing (T4), Ampere (A100), and Hopper (H100) GPUs. Discovery is connected to the university network over 10 Gbps Ethernet (GbE) for high-speed data transfer, and Discovery provides 6 PB of available storage on a high-performance file system. Compute nodes are connected with either 10 GbE or high data rate InfiniBand (200 Gbps or 100 Gbps), supporting all types and scales of computational workloads.

A dedicated team of staff including PhD scientists manage the RC environment and support researchers in their use of the Discovery cluster resources. The RC team updates computational resources available through Discovery with the newest technologies on a yearly cycle to support the cutting-edge research being performed by Northeastern faculty and students.

Research groups who require access to dedicated computational resources can request to be part of a “buy-in” option, integrating their hardware into the Discovery cluster to provide unified access to both private and shared compute nodes for their research group members. Faculty-owned hardware that is part of the Discovery cluster is fully managed and maintained by the RC staff at no charge.

Please note, the Research Computing team cannot add any new data to the SDE. If you are currently storing data on the SDE and have questions, please join the RC Office Hours or a scheduled consultation.

In response to research funding requirements, Northeastern University has developed a high-performance Secure Data Enclave (SDE) for researchers to store and process secure data. The SDE is comprised of an Infinidat Infinibox data storage system, located in the Massachusetts Green High-Performance Computing Center (MGHPCC) in Holyoke, Massachusetts. There are dedicated CPUs and GPUs as part of the SDE that can be used for the computation of secure data in the enclave. Scientific and statistical software is also available pre-installed on the SDE compute nodes. All components of the SDE are behind a network firewall.

For more information about the storage options available on the HPC, please refer to the Data Storage Options page and the Research Projects Storage Space Policy.

Data can be staged into and out of the cluster using Globus. Globus is a data management system with a higher assurance level.

Research groups are provided with up to 35 TB of complimentary high-performance data storage, with options to purchase additional storage. This storage is owned and maintained by the university and is physically located in the Massachusetts Green High Performance Computing Center, a secure data center. All storage systems are on uninterruptible power supply (UPS)-backed power supplies, so that in the event of a power outage or interruption, there can be a graceful shutdown, minimizing the possibility of data loss. Snapshots for files, depending on their usage category are created, one to several times a day. The Research Computing team maintains a Globus endpoint on Discovery for secure, reliable data access, enabling researchers to access and share their data.

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