Difference between revisions of "Training"

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*'''UF Research Computing: An Introduction and Getting Started'''
 
*'''UF Research Computing: An Introduction and Getting Started'''
 
**Download [[Media:HPC_Intro.pdf|the slides]] from the presentation.
 
**Download [[Media:HPC_Intro.pdf|the slides]] from the presentation.
 +
**[[UFRC_Intro_Getting_Started|View a recording of the session]]  [[Image:UFRC_Intro.png|200px|link=UFRC_Intro_Getting_Started]]
  
 
*'''An Introduction to the Linux Command Line'''  
 
*'''An Introduction to the Linux Command Line'''  

Revision as of 19:26, 30 August 2013

At the UF Research Computing we strive to make our resources accessible, efficient, and easy to use. An important part of the effective research computing is the knowledge of how to apply the many available tools in a productive and efficient manner. Comprehensive and clear documentation, well-structured training, and individual help we provide are all means of achieving that goal. We run a series of training sessions and tutorials during each semester of the school year and in the Summer. These sessions are mostly oriented towards biological computing, but many of them reflect the aspects of the HPC resources that apply to other disciplines as well. See the Training Category pages for the records of the previous sessions, to download presentations and handouts, and to propose topics of interest to you.

The previous training series included 'Introduction to UF HPC', 'Introduction to Linux Command Line and Job Submission Scripts', 'Introduction to Galaxy at UF HPC', 'Running phylogenetics applications at UF HPC', 'Modules and basic submission scripts', 'Working with NGS data', 'Introduction to Perl', 'Perl in practice', 'Statistical analysis at UF HPC', 'R and SAS in practice', and 'Parallel Computing'.

Please see the schedule of training sessions and other HPC Center events below. Please check the calendar before a session as the schedule may change.



Resources

The most recent set of slides and handouts from the training sessions are listed below. Updated copies of training material will be posted shortly before each session.

  • Introduction to Molecular Dynamics Simulations with AMBER
    • Speaker: Dr. Dhruva Chakravorty
    • Download the slides from the presentation.
  • Introduction to Galaxy
  • Next Generation Sequencing Data Techniques: Reference-Based Mapping and de Novo Assembly
  • Phylogenetic Analyses
  • Introduction to GPUs
    • Speaker: Dr. Charles Taylor
    • Download the slides from the presentation.