SS430 - NIH Biowulf cluster: Scientific Supercomputing

Description:

The NIH Biowulf cluster is a Linux cluster designed and built at NIH which consists of over 6500 processors communicating over a fast network. The cluster is being used by NIH researchers for sequence analysis, phylogenetics and linkage analysis, computational chemistry, molecular modeling, proteomics and mass spectrometry analysis, mathematics, statistics, and structural biology.

This hands-on class will give new users all the information they need to get started on the system.

Information on the Biowulf cluster is now available.


Objectives:

This class is divided into 2 sessions:
  • Basic Session (9:00 - 12:00)
    • introduction to the Biowulf Linux cluster, cluster concepts, accounts, logging in, storage options, interactive vs. batch jobs, how to set up and submit a simple batch job, batch queues, available software, and job monitoring.
  • Advanced Session (1:00 - 3:00)
    • Followup to the basic session, for those users who will need to run molecular dynamics jobs, parallel programs, large-memory jobs, and/or require low-latency networks, or who will be developing their own code.
    • Session will cover:
      • hardware & network configuration
      • types of nodes
      • selection of nodes using properties
      • system software
      • parallel programs
      • programming tools


    Reasonable Accommodations

    Individuals who need reasonable accommodation to participate in CIT Training courses should let CIT Training know at least 5 days prior to the class. For interpreting services, please request them from the ORS Interpreting Services by completing the form at Interpreting Services Form or calling (301) 402-8180 or TTY (301) 435-1908 at least 5 days before the start of the class.

    Who should attend:

    NIH staff with a need or interest in high-performance scientific computing.

    Instructor(s):

    Steve Fellini, CIT ; Susan Chacko, CIT

    Time Required:

    7 Hours

    Sections Available:

    Add to CartDateTimeLocationSeats AvailableTuition
    November 49:00 AM - 4:00 PMBuilding 12A - Room B51350



    NOTE: Since there are no open sessions; we can waitlist you and contact you when a section opens up.