Research Computing Services 

IT@UC facilitates academic research by enabling access to enterprise computing resources; cloud-based services and assistance with grants. Innovative, emerging technologies and the latest research tools are available through IT@UC Research Computing Services (RCS).

Research related to COVID-19 will receive priority access to the high-performance computing resources established by the Advanced Research Computing (ARC) initiative within the Office of Research.

*HPC assets may be used for modeling and simulation coupled with machine and deep learning techniques to study a range of areas including:

  • Examining underlying protein structure.
  • Classifying the evolution of the virus.
  • Understanding mutation.
  • Uncovering important differences and similarities with the 2002-2003 SARS virus.
  • Searching for potential vaccine and antiviral compounds.
  • Simulating the spread of COVID-19 and the effectiveness of countermeasure options.

Remote access to the Office of Research HPC cluster requires a VPN connection.

Contact IT@UC Research Computing Services for more information.

*Per the Ohio Supercomputer Center (OSC) Community Notice for Extraordinary Support for COVID-19 Research, March 16, 2020. 

Not using HPC for COVID-19 Research?

Be prepared for possible disruptions by implementing checkpointing in your code.

IT@UC Research Computing Services is investigating mechanisms for automated checkpointing utilizing the SLURM resource manager.

If successful, these features would be enabled during a future second Tuesday of the month maintenance day.  

Part of the Pilot HPC Cluster?

We do not expect any impact on the services and support provided for the pilot HPC Cluster. 

We continue to monitor the hardware and provide remote support.

Contact us to request assistance.

COVID-19 HPC Consortium

The White House Office of Science and Technology Policy’s COVID-19 HPC Consortium seeks to expedite applications for advanced computing research to combat the COVID-19 pandemic.

Researchers interested in conducting this timely work are asked to submit research proposals to the COVID-19 Online Portal, which is managed by the NSF XSEDE’s XRAS team.

Jetstream – NSF’s Cloud Computing Resource (virtual machines)

Research requests, especially those related to the COVID-19 effort, may apply for expedited startup allocations for Jetstream computing resources. Jetstream offers interactivity without batch processing.

Applications must include a three-to-four sentence research description and a vita.  

Using Globus for COVID-19 Research – move and share data with collaborators

Globus helps researchers move and share data with collaborators.

Every institution engaged in COVID-19 research can access all Globus at no cost.

Ohio Supercomputer Center Extraordinary Support for COVID-19 Research

The Ohio Supercomputer Center (OSC) offers unique capabilities that the scientific community may leverage for the COVID-19 response and recovery. Faculty researchers from UC other Ohio higher education institutions are already engaged in these efforts.

Examples of the types of special support OSC can provide include:

  • Priority, unbilled access to OSC computational and storage resources for COVID-19 research.
  • Flexible billing terms and prices for clients anticipating negative economic impacts.
  • Remote, virtual computing lab resources for classroom instructors and educators.
  • Connections to domain experts in academia and industry.

  • View more about available OSC support during COVID-19 crisis

Contact IT@UC Research Computing Services for more information.

Priority help to COVID-19 projects offered by Trusted CI, NSF CI CoE Pilot, and SGCI

The NSF Cyberinfrastructure Center of Excellence PilotTrusted CI, and the Science Gateways Community Institute are helping the science community tackle research to address the coronavirus disease 2019 (COVID-19) outbreak. Expert cyberinfrastructure consulting areas include:

  • Data management and visualization
  • Workflow management
  • Use of cloud resources, high-performance clusters, or distributed resources
  • Science gateway technology
  • Cybersecurity
  • Compliance

Priority will be given to active projects related to COVID-19; however, proposal-writing assistance is available to support new projects related to the pandemic.

Other groups supporting COVID-19 research

The advanced research computing (ARC) initiative establishes a high-performance computing (HPC) infrastructure that supports and accelerates computational and data-enabled research, scholarship and education at the University of Cincinnati.

ARC pilot HPC Cluster access (CPUs, GPUs, basic storage)

For the duration of the Advanced Research Computing initiative pilot (January 2019 – July 2020), access and usage of the cluster is provided at no cost on a first-come, first-served basis. Fair-share scheduling is utilized to fairly distribute the resources. If you have a specific need and deadline, please contact us and we will work with you to get your jobs done.

Faculty can immediately gain access to the HPC cluster pilot resources by filling out the ARC Computing Resources Request (you must login with your UC Credentials to access the form).

Cost: No cost

Contribute nodes to the cluster – priority access to your nodes plus access to additional shared resources

Faculty can use their HPC and research computing funding to contribute nodes to the central cluster. Priority access is given to the owner of the nodes, however, when not in use by the owner, the nodes can be shared with others. This is a good option for faculty who need to have full access to their nodes periodically and can take advantage of access to additional shared resources in the cluster. Using the central resource maximizes the amount of compute resources a faculty can purchase because the HPC infrastructure (networking, racks, head/management nodes, support) are provided at no cost. Contact: arc_info@uc.edu

Cost: Nodes contributed to the cluster must be consistent with current cluster hardware configurations. The ARC team can work with you to review your needs and provide an estimate for your purchase.

ARC is equipped with 50 teraFLOPS of peak CPU performance and 2 NVIDIA Tesla V100 GPU nodes (224 teraFLOPS deep learning peak performance) connected with high-performance 100 GB/s Omnipath (OPA) interconnect, a significant step forward in both bandwidth and latency.

Hardware

  • 50 teraFLOPS of peak CPU performance
    • Intel Xeon Gold 6148 2.4G, 20C/40T, 192 GB RAM/node
    • Plans to increase it to 140 teraFLOPS peak CPU performance in the next year
  • 224 teraFLOPS deep learning peak performance
    • NVIDIA Tesla V100 32G Passive GPU
    • Plans to increase it to 896 teraFLOPS deep learning peak performance in the next year
  • ZFS Storage Node – 96TB raw storage
  • Omnipath HPC Networking infrastructure
    • Maximum Ominpath bandwidth between nodes = 100Gbps

Software

  • OpenHPC environment
  • Warewulf cluster provisioning system and managed by the SLURM
  • Singularity containers
  • Developmental tools, including compilers, OpenMP, MPI, OpenMPI libraries for parallel code development, debuggers, and open source AI tools
  • FLEXlm being installed so that individual researchers can easily maintain and use their software resources
  • User login is based on UC/AD, so that user groups and easier access
  • ARC Cluster Report
  • ARC 6-month Status Report June 2019

UC ScienceNet (UCSN) is a high-speed academic research network that enables high-speed (10Gps-40Gps) data transfers. High speed connections can be made in your office, classrooms, or labs as long as certain security conditions are met. High-speed networking is available for on-campus transfers as well as connections made to endpoints on Internet 2 sites. Transfers to sites on the public Internet are not guaranteed to maintain high(er) speeds. this text component with your accordion's content.

While in-person workshops are suspended, there are HPC training resources available remotely including:

XSEDETraining YouTube Channel for workshops on Hadoop, Spark, OpenMP, GPU programming with OpenACC

XSEDE & Pittsburgh Supercomputing Center Workshops

UC Data & Computational Science Series: most of the DCSS past presentations and workshops have been recorded, learn a new computational tool that can support your research remotely!

Ohio Supercomputer Center Events

Science Gateways Monthly Webinars

Campus Research Computing Consortium (CaRCC) Events

Advanced Research Computing Consultation Hours

3rd Tuesdays, 9:00am - 12:00pm & 4th Fridays, 9:00am - 1:00 pm

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Contact IT@UC RCS

Please contact IT@UC Research Computing Services with any questions, requests for consultation, and more by sending us an email.