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What is DISCOVERY?

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DISCOVERY is the on-prem general-purpose high-performance computing cluster (HPC). Research-focused DISCOVERY HPC is PHI compliant for both analysis and storage and a future compliance target environment of NIST 800-171. The cluster is managed by the JH Research IT (RIT) group in collaboration with Cloud & Virtualization Services, and JH Engineering Services.  

DISCOVERY resources are free through FY25 with a subsidized cost model forthcoming.

New User Intake – Request an access to the DISCOVERY HPC platform
Request a New Tool/App – Request a Tool or Application for DISCOVERY HPC
Report an Issue – Report a problem/issue related to DISCOVERY HPC

Upon the request submission, a member of Research IT will contact you by email in 1 to 2 business days. Following initial contact, a dedicated meeting to your request will occur within 3 to 5 business days depending on both party’s availability.

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DISCOVERY (HPC) Hardware Specs

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Node Hardware# of NodesAllocationTotal RAMTotal Cores
Cisco UCS C240 M5SX 20GPU Compute Nodes30 TB960
Cisco UCS B200 M5 Blade Server 78CPU Compute Nodes57 TB3680
Dell PE R76040CPU Compute Nodes20 TB4480
Partition# of CPU/GPU per nodeRAM per node
GPU Nodes6x Nvidia Tesla T4 16GB1,546 GB
Cisco CPU Nodes48x Intel(R) Xeon(R) Gold 5418Y770 GB
Dell CPU Nodes112x Intel(R) Xeon(R) Platinum 8480+512 GB
Storage DevicesStorage Available
WEKA SSD5 PB
SAFESTOR NAS Share Mounts1-100 TB per project
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Available Services & Tools

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  • Home directory with 100 GB allocations
    • Secure location for custom libraries, packages, and environment builds for managed workflows
  • Project directory with 1-50 TB allocations
    • Group permissions to allow for collaborative environment
  • SLURM Workload Manager with multidisciplinary modules for:
    • Genomics/Transcriptomic alignment and analyses
    • DNA Sequencing quality control and annotation
    • Machine/Deep Learning algorithm development
    • Data engineering and management
    • Multimodal Image analyses
  • OnDemand Web Interface for secure interactions with the HPC to:
    • Create SLURM job allocations for GUI applications such as Rstudio, Jupyter Lab, Jupyter Notebook, MatLab, VS Code
    • SSH shell to modify and manage data structures with the HPC environment
    • Run a Virtual Desktop using RHEL 9 with SLURM allocated resources for a point and click interface for image/video manipulation, segmentation analyses, and more.
  • Globus High Assurance transfer protocols to securely transfer data between RIT-HPC managed endpoints and researcher controlled devices