User Consulting

The High Performance Research Computing (HPRC) staff provides assistance (Mon-Fri, 9am-5pm) with regards to, among other things: debugging, code optimization and parallelization, and batch processing.

Your email queries to should include, when possible, the following items:

  • Informative e-mail (subject) headers.
  • The name of the machine you are working on.
  • Relevant error messages.
  • Location of relevant files: job files, error files, etc.*
  • Which program/package you were running.
  • Clear description of the problem.

* As a courtesy to the HPRC staff, please do not send us large files (larger than 100 KB) as email attachments.

PLEASE DO NOT PUT YOUR UIN IN ANY EMAIL TO US. We often want your NetID for login identification on our systems, but we don't want your UIN (we don't use them). Please keep your UIN to yourself.

The usefulness, accuracy, and promptness of the information we provide to answer a question depends, to a good extent, on whether you have given us useful and relevant information.

Before you send a query to the Help Desk, check the News, Events, and the Messages of the Day for news that may answer your query or be related to your query.

If you would like to come to the helpdesk for assistance, please see our contact page for our location.

Advanced Support Program

High Performance Research Computing has recognized the need for providing technical assistance to research teams across campus that goes beyond "general consulting". As a result, HPRC, to the extent that staffing levels permit, now offers collaborations in research projects with a large computational component. Under the ASP, one or more HPRC analysts will contribute expertise and experience in several areas of high performance computing in a sustained and focused way. Our contributions in collaborative work can include any of the following:

  • Porting applications to our clusters
  • Optimizing and analyzing serial code performance
  • Developing parallel code from serial versions and analyzing performance
  • Optimizing serial and parallel I/O code performance
  • Assisting in the optimal use of mathematical libraries
  • Assisting with code development and design
  • Assisting with the improvement of workflow automation in scientific processes

If you are interested in a collaboration through our ASP program, please send us e-mail at,