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Introduction to Using the Ada Cluster

This short course provides an introduction to using the Ada Cluster. We will use live demonstrations of interactive and batch sessions with the system. The short-course covers material relevant to users who either (a) run existing scientific programs or (b) would like to develop their own codes.

Course Materials

The material of this short-course uses information from Ada's User Guide as a reference.

The course slides are also available

Course Topics

This course focuses, among others, on the following topics:

  • Usage Policies
  • Brief Introduction to Parallel Computing
  • Hardware Overview of Ada
  • Accessing Ada
    • File Transfers with Ada
    • File systems and User Directories
  • Computing Environment
    • Application Modules
    • Software
    • Development Environment - Toolchains
  • Compiling and Running Application Codes
    • Development Environment on Ada
    • Intel Compiler Optimization Options
    • OpenMP (Shared Memory) Programming
    • MPI (Distributed Memory) Programming
    • Linking with the Intel MKL Mathematical Library on Ada
  • Upcoming Programming Short Courses
  • Batch Processing on Ada
    • Batch Queues
    • Consumable Computing Resources
    • Batch Job Files
      • Mapping Job Requirements to Cluster Resources
      • Example Job Files
    • Job Submission and Monitoring
    • Debug job failures
    • Service Units (SU)
    • Job Environment Variables
    • Concurrent Program Execution in Jobs via tamulauncher
    • Remote Visualization Jobs
  • Common Problems
  • Need Help?

Note: During the class sessions many aspects of the material will be illustrated live via a login to Ada. Attendees are welcome to follow these parts with their own laptops. They will need to configure their laptops to use the TAMULink wireless network. Relevant details on this can be found at: http://tamulink.tamu.edu/

You are encouraged to contact the HPRC helpdesk at "help@hprc.tamu.edu" with any questions regarding Ada.

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