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High Performance Computing Training

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Workshops and Seminars

The OIT's Supercomputing division tailors High Performance Computing workshops to meet your needs. Our workshops are strictly demand-driven: their contents are designed and presented in response to the needs of our users. Contact kadir@oit.ucsb.edu if you wish to attend a workshop or to request a new workshop topic.

The division has organized the following workshops in response to users' requests:

  • XSEDE Resources and Services
  • Performance Tools and Numerical Libraries on SDSC TRITON and TACC RANGER
  • Update on regional and national supercomputing resources available to UCSB
  • Vector and Parallel Computation Methods on the SDSC CRAY Systems
  • Introduction to Parallel Computing
  • Parallel Computation Methods on the CM-2/CM-5
  • Parallel Computation Methods on the IBM systems
  • Scientific Visualization
  • Using the TeraGrid [Now: XSEDE]
  • Using Parallel Matlab

More topics are available through the SDSC Workshops.

Tutorials and Web-Based Training

The SDSC's User Support Group maintains links to information in the parallel and high performance computing fields, including tutorials and the NCSA Cyberinfrastructure Tutor.

The XSEDE offers high performance computing Web-based training as an adjunct or alternative to its on-site training sessions. For more information, visit the XSEDE Training page.

Classes

The Supercomputing division supports UCSB special topics courses with class accounts on the TeraGrid machines, software, and system and user support. Examples include:

  • Parallel Scientific Computing - CS140 (Class Notes)
  • Parallel Scientific Computing - CS110B
  • Stellar Structure and Evolution - PHYS232
  • High Performance Parallel Systems and Languages - CS240A
  • Parallel Computing and Program Parallelization - CS240B
  • Theoretical Analysis in Mechanical Engineering - ME140B
  • Numerical Methods for Free and Moving Boundary Problems - ME245
  • Finite Element Structural Analysis - ME271

Supporting materials for selected courses are available on the Class Resources page.

More Information

For additional resources and information on the world of High Performance Computing, visit HPC Links.