Where can I get help using IU's supercomputers?

Indiana University is a national leader in using supercomputers to advance research and creative endeavors. The Research Technologies division of UITS offers many services to help IU researchers learn how to use IU's supercomputers effectively. Following is information about how you can get help using IU's supercomputing resources.

On this page:

• General programming help
• Help with a specific IU system
• Online documentation

General programming help

• For help with programming projects for a class, contact your instructor.
  
  
• The High Performance Applications support group provides programming support, including migration, optimization, and parallelizing of code, and manages site licenses for high-performance computing software. For help with research programming projects, email High Performance Applications, or visit the High Performance Applications home page.

  The High Performance Applications team offers both short-term consultations and extended consulting services in which a UITS consultant will work with you, without charge, for many hours over a period of weeks or months. This type of consulting interaction is ideal either if you have a very complicated and sophisticated programming challenge, or if you are just getting started with supercomputing and need lots of help.

• For more about statistical and mathematical software, email the UITS Stat/Math Center, visit the center's web page, or phone 812-855-4724 (IUB) or 317-278-4740 (IUPUI). The center is located in Bloomington at 410 N. Park Avenue, and is open for consultation by appointment Monday-Friday 9am-5pm.

• Lawrence Livermore National Laboratory maintains some online tutorials and additional materials that you might find useful. See High Performance Computing Training.

Help with a specific IU system

Information is available for specific systems:

• Big Red
• Quarry
• Research Database Complex

Online documentation

• Visit the documentation page maintained by the Research Technologies division.
  
  
• For documentation for statistics and mathematics programs, see the Stat/Math Center's documentation page.

This document was developed with support from the National Science Foundation (NSF) under Grant No. 0503697 to the University of Chicago and subcontracted to Indiana University. Additional support was provided by IU through its participation in the TeraGrid, which is supported by the NSF under Grants No. 0833618, SCI451237, SCI535258, and SCI504075. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the NSF.

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