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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

New User Intake

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 NodesAllocation
Cisco UCS C240 M5SX 20GPU Compute Nodes
Cisco UCS B200 M5 Blade Server 78CPU Compute Nodes
Partition# of CPU/GPU per nodeRAM (per Node)
GPU Nodes6x Nvidia Tesla T4 16GB30 TB (1,546 GB)
CPU Nodes48x Intel(R) Xeon(R) Gold 5418Y37 TB (770 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