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| − | [[Category:Training]] | + | [[Category:Essentials]] |
| − | ==Training Overview== | + | {|align=right |
| − | At 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. The comprehensive and clear documentation, well-structured training, and individual help that 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.
| + | |__TOC__ |
| | + | |} |
| | + | ==Live Training Sessions== |
| | + | Research Computing runs regular in-person training sessions throughout the year. These sessions are free and open to all UF researchers. Most sessions include hands-on exercises and users are encouraged to bring their own computers. |
| | | | |
| − | Please see the schedule of training sessions and other Research Computing events below. Please check the calendar before a session as the schedule may change.
| + | In addition to the regularly scheduled sessions, you can request a [https://training.it.ufl.edu/services/training-service-requests/ Group Training Session] for your group. |
| | | | |
| − | You can request a [[Training_Session_Request|Group Training Session]] for your group.
| + | Many of the sessions are also available as pre-recorded videos linked from this page and also listed on the [https://training.it.ufl.edu/training/ UFIT Training page]. |
| | + | |
| | + | ==Training Videos== |
| | + | |
| | + | There are a number of how-to and other training videos on out [[Training Videos]] page. |
| | + | |
| | + | ===Training Schedule=== |
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| − | ==Training Schedule==
| |
| | {{#widget:Google Calendar | | {{#widget:Google Calendar |
| − | |height=400
| |
| | |width=75% | | |width=75% |
| − | |view=AGENDA | + | |view=Month |
| | |id=u2lnbulnfkcgg44pqksmup4cm8@group.calendar.google.com | | |id=u2lnbulnfkcgg44pqksmup4cm8@group.calendar.google.com |
| | |color=FF4A00 | | |color=FF4A00 |
| − | |title=UFRC Events | + | |id=usa@holiday.calendar.google.com |
| | + | |color=0021A5 |
| | + | |title=UFRC Events, US Holidays |
| | + | |timezone='America/New_York' |
| | }} | | }} |
| | | | |
| | + | ==HiPerGator New User Training in Coursera== |
| | + | See the [[New user training]] page, which mirrors and expands upon the content provided in the HiPerGator Account Training in Coursera. This is a private course, only accessible by the link, it will ''not'' appear in a search on Coursera. |
| | | | |
| | + | Effective January 11th, 2021, this training module is required for all new account holders to obtain an account. |
| | | | |
| − | ==Training Material and Recordings== | + | == AI Education and Training == |
| − | | + | [[File:Rc-web-icons ai training.png|alt="AI Training"|frameless | link=[[AI Education and Training]]]] The '''[[AI Education and Training]]''' lists selected AI education and learning materials. |
| − | ===HiPerGator 2.0 and SLURM training===
| |
| − | ====Introduction to HiPerGator 2.0====
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| − | *Download [[Media:RC_introHPG2.pdf|the slides]] from the presentation.
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| − | ====HiPerGator 2.0: Moving your research to the next generation of super computing====
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| − | | |
| − | *Download [[Media:RC_HPG2_transition.pdf|the slides]] from the presentation.
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| − | *[[HiPerGator2_transition|View a recording of the session]] [[Image:HPG2.video.png|200px|link=HiPerGator2_transition]]
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| − | ====Writing SLURM Submission Scripts====
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| − | *Download [[Media:RC_SLURM.pdf|the slides]] from the presentation.
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| − | | |
| − | ===General Introduction to Research Computing and HiPerGator===
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| − | | |
| − | ====UF Research Computing: An Introduction and Getting Started====
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| − | This training provides a general overview of the UF Research Computing facilities and basic usage of HiPerGator. It is intended for new users.
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| − | | |
| − | *Download [[Media:RC_Intro.pdf|the slides]] from the presentation.
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| − | *[[UFRC_Intro_Getting_Started|View a recording of the session]] [[Image:UFRC_Intro.png|200px|link=UFRC_Intro_Getting_Started]]
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| − | | |
| − | ====An Introduction to the Linux Command Line====
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| − | This session leads participants through exercises that cover basic Linux commands such as moving around the file system, making directories, moving and copying files, etc. It also overs some of the applications you can use on your computer to connect to and move files to and from HiPerGator.
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| − | | |
| − | This session is largely aimed at users who are new to the command line.
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| − | | |
| − | *Download [[Media:RC_CLI_Intro.pdf|the slides]] from the presentation.
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| − | *Download [[Media:CLI_Intro_Handout.pdf|the handout]] with the exercises
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| − | *Download an example [[Media:Fwunixref.pdf|Linux cheat sheet]].
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| − | *[[Intro_CLI_video|View a recording of the session]] [[Image:Into_to_CLI_video.png|200px|link=Intro_CLI_video]]
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| − | | |
| − | ====Running Jobs, Submission Scripts, Modules====
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| − | This training focuses on writing job submission scripts. It covers the most common scheduler directives and how to tell the scheduler the information it needs to run your jobs efficiently.
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| − | | |
| − | This session assumes a basic familiarity with the Unix command line and will be aimed at beginning to intermediate users.
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| − | | |
| − | *Download [[Media:RC_JobsSubmit.pdf|the slides]] from the presentation.
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| − | *Download a [[Media:HPC_Job_examples.zip|zip file]] with the example scripts.
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| − | *[[Running_Jobs|View a recording of the session]] [[Image:Running_jobs_video.png|200px|link=Running_Jobs]]
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| − | | |
| − | ====Up and Running at UF Research Computing====
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| − | This session combines several the three training sessions above into one, starting with an overview of UF Research Computing, moving into a hands-on introduction to the Linux command line and walking participants through what they need to know to start running research jobs on HiPerGator.
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| − | | |
| − | *Download [[Media:RC_UpAndRunning.pdf|the slides]] from the presentation.
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| − | *Download [[Media:CLI_Intro_Handout.pdf|the handout]] with the exercises
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| − | *Download an example [[Media:Fwunixref.pdf|Linux cheat sheet]].
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| − | | |
| − | ===Storage at Research Computing===
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| − | | |
| − | ====Introducing GatorBox====
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| − | GatorBox is a Dropbox-like tool for file synchronization and sharing available to Research Computing users. This training introduces the tool and covers basic configuration.
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| − | | |
| − | *Download [[Media:RC_GatorBox.pdf|the slides]] from the presentation.
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| − | *[[GatorBox_training|View a recording of the session]] [[Image:GatorBox.video.png|200px|link=GatorBox_training]]
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| − | | |
| − | ====High-Performance Data Transfer with Globus====
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| − | This training introduces Globus (globus,org) a web-based high-performance data transfer tool available to Research Computing Users.
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| − | *Download [[Media:HPC_Globus.pdf|the slides]] from the presentation.
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| − | *[[Globus_training|View a recording of the session]] [[Image:Globus_video.png|200px|link=Globus_training]]
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| − | | |
| − | ===Application/Discipline Specific Trainings===
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| − | ====Galaxy Overview: The Basics====
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| − | This session focuses on Galaxy, a web-based application platform with the ambitious goal of enabling "data intensive biology for everyone." While Galaxy, and the training, are largely geared toward biology applications, Gaussian, an application for ab-initio molecular electronic structure calculations, is also available through UF Research Computing's Galaxy instance.
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| − | | |
| − | This training explores the range of applications available in Galaxy, looking at Blast, next generation sequence analysis, and genome visualization tools. It reviews the data sharing and workflow generation capabilities of Galaxy.
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| − | | |
| − | *Download [[Media:Galaxy_Overview.pdf|the slides]] from the presentation.
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| − | *[[Galaxy_Basics|View a recording of the session]] [[Image:Galaxy_video.png|200px|link=Galaxy_Basics]]
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| − | | |
| − | ====Next Generation Sequencing Data Techniques: Reference-Based Mapping and de Novo Assembly====
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| − | This training focuses on Next Generation Sequencing (NGS) data. It looks at both reference-based mapping of reads (using Bowtie and Bowtie2) and de novo assembly of reads (using Velvet). I will also briefly highlight some of the other mapping and assembly applications available at Research Computing. We will use both the command line and Galaxy during the demonstration. Users are encouraged to bring their laptop and follow along with some of the analyses.
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| − | | |
| − | *Download [[Media:RC_NGS_Data.pdf|the slides]] from the presentation.
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| − | *Download [[Media:RC_NGS_Handout.pdf|the handout]] with the exercises.
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| − | *[[Galaxy_NGS|View a recording of the session]] [[Image:Galaxy_NGS.png|200px|link=Galaxy_NGS]]
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| − | | |
| − | ====Next Generation Sequencing Data Techniques: General Methods and Tools====
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| − | *Download [[Media:HPC_NGS_Data_130311.pdf|the slides]] from the presentation.
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| − | *Download [[Media:HPC_Handout_NGS_data_130311.pdf|the handout]] with the exercises.
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| − | *Download [[Media:Training_log.130311.pdf|the shell command log]] from the demo.
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| − | | |
| − | ====Phylogenetic Analyses====
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| − | This training covers the basics of running phylogenetic software both in Galaxy and on the command line. We look at resource requests, especially CPU requests for MPI and threaded applications such as MrBayes and RAxML. This training assumes the user is familiar with the applications and is focussed on how to efficiently run the software on the cluster.
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| − | | |
| − | *Download [[Media:HPC_Phylogenetics.pdf|the slides]] from the presentation.
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| − | *[[Phylogenetic_Analyses|View a recording of the session]] [[Image:Phylogenetic_Analyses_video.png|200px|link=Phylogenetic_Analyses]]
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| − | | |
| − | ====MATLAB at Research Computing: A Hands-on Tutorial to Running Your MATLAB Code at Research Computing====
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| − | This training walks users through a hands-on example of using MATLAB at Research Computing. It looks at using the MATLAB GUI, compiling code and submitting MATLAB jobs to the scheduler to run on the cluster.
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| − | | |
| − | *Download [[Media:RC_MATLAB.pdf|the slides]] from the presentation.
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| − | *[[MATLAB_training|View a recording of the session]] [[Image:MATLAB.video.png|200px|link=MATLAB_training]]
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| − | | |
| − | ====UF Research Computing: Overview and Running STATA ====
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| − | This training provides a general overview of Research Computing and an introduction to running STATA on the system. This is geared toward getting STATA users up and running on the cluster.
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| − | | |
| − | *Download [[Media:RC_STATA.pdf|the slides]] from the presentation.
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| − | *[[Stata_training|View a recording of the session]] [[Image:Stata.video.png|200px|link=Stata_training]]
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| − | | |
| − | ===Advanced Topics===
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| − | | |
| − | ====Optimizing Batch Submission and Job Performance====
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| − | Going beyond the basics of running jobs, this training covers a more detailed view of the batch system resource requests and how to optimize job performance. It looks at strategies to profile application performance and tune resource requests. The session also looks at using job arrays as one way to run many similar jobs. The training assumes users are familiar with the basics of Research Computing and HiperGator, the Linux command line, and job submission.
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| − | | |
| − | *Download [[Media:HPC_Optimizing_Jobs.pdf|the slides]] from the presentation.
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| − | *[[Optimizing_Jobs|View a recording of the session]] [[Image:Optimizing_Jobs_Video.png|200px|link=Optimizing_Jobs]]
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| − | | |
| − | ====Overview of Programming tools at Research Computing====
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| − | This session provides an overview of programming tools available at Research Computing, including compilers, debuggers, and performance profiling tools for serial and parallel programs. It covers the basic usage of these tools on Research Computing systems, for example, how to compile parallel programs, find memory leaks and measure performance.
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| − | | |
| − | *Download [[Media:RC_PGTools_Overview.pdf|the slides]] from the presentation.
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| − | *[[PGTools|View a recording of the session]] [[Image:Programming.video.png|200px|link=PGTools]]
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| − | | |
| − | | |
| − | ====Introduction to GPUs====
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| − | *Speaker: Dr. Charles Taylor
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| − | *Download [[Media:HPC_IntroToGPUs_130422.pdf|the slides]] from the presentation.
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| − | | |
| − | ===Course Material===
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| − | ====Orientation material for courses using Research Computing====
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| − | This is the training material presented for courses that wish to use the cluster. See the details of [http://www.rc.ufl.edu/services/teaching-support/ course use of the cluster].
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| − | | |
| − | *Download the [[Media:RC_Class_Orientation.pdf|the slides]] from the presentation.
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| | | | |
| | ==Additional Training Opportunities== | | ==Additional Training Opportunities== |
| | In addition to the training sessions coordinated by UF Research Computing, we are aware of many training opportunities provided by other institutions and vendors. These are listed below. | | In addition to the training sessions coordinated by UF Research Computing, we are aware of many training opportunities provided by other institutions and vendors. These are listed below. |
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| − | ===NVIDIA OpenACC Online course===
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| − | [https://developer.nvidia.com/openacc-course Register now], course starts October 1, 2015.
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| − | '''More Science, Less Programming'''
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| − | Accelerated computing is fueling some of the most exciting scientific discoveries today. For scientists and researchers seeking faster application performance, OpenACC is a directive-based programming model designed to provide a simple yet powerful approach to accelerators without significant programming effort. OpenACC also allows the same code to run on multicore CPUs and GPUs.
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| − | Join HPC industry’s OpenACC experts for a free online course. This course is comprised of four instructor-led classes that include interactive lectures, hands-on exercises, and office hours with the instructors. You’ll learn everything you need to start accelerating your code with OpenACC on GPUs and x86 CPUs. The course will cover introduction on how to parallelize, profile and optimize your code, as well as manage data movements and utilize multiple GPUs.
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| | | | |
| | ===Intel Software Tools Technical Webinar Series=== | | ===Intel Software Tools Technical Webinar Series=== |
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| | Full schedule and registration information is available [http://software.intel.com/en-us/articles/intel-software-tools-technical-webinar-series here]. | | Full schedule and registration information is available [http://software.intel.com/en-us/articles/intel-software-tools-technical-webinar-series here]. |
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| | ===XSEDE=== | | ===XSEDE=== |
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| | Many TACC online training sessions are webcast and are listed in the XSEDE Training Calendar above. Training materials, recordings and webcasts are available from the [http://www.tacc.utexas.edu/user-services/training/course-materials TACC Course Materials site]. | | Many TACC online training sessions are webcast and are listed in the XSEDE Training Calendar above. Training materials, recordings and webcasts are available from the [http://www.tacc.utexas.edu/user-services/training/course-materials TACC Course Materials site]. |
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| − | ==UFRC Historical Training Records==
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| − | * [[Training_Sessions_2011_Fall|2011 - Fall Training Sessions]]
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| − | * [[Training_Sessions_2012_Spring|2012 - Spring Training Sessions]]
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| − | * [[Training_Sessions_2012_Summer|2012 - Summer Training Sessions]]
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| − | * [[Training_Sessions_2012_Fall|2012 - Fall Training Sessions]]
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| − | * [[Training_Sessions_2013_Spring|2013 - Spring Training Sessions]]
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| − | * [[VEME_Workshop|VEME Workshop Training Sessions]]
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Live Training Sessions
Research Computing runs regular in-person training sessions throughout the year. These sessions are free and open to all UF researchers. Most sessions include hands-on exercises and users are encouraged to bring their own computers.
In addition to the regularly scheduled sessions, you can request a Group Training Session for your group.
Many of the sessions are also available as pre-recorded videos linked from this page and also listed on the UFIT Training page.
Training Videos
There are a number of how-to and other training videos on out Training Videos page.
Training Schedule
HiPerGator New User Training in Coursera
See the New user training page, which mirrors and expands upon the content provided in the HiPerGator Account Training in Coursera. This is a private course, only accessible by the link, it will not appear in a search on Coursera.
Effective January 11th, 2021, this training module is required for all new account holders to obtain an account.
AI Education and Training
The AI Education and Training lists selected AI education and learning materials.
Additional Training Opportunities
In addition to the training sessions coordinated by UF Research Computing, we are aware of many training opportunities provided by other institutions and vendors. These are listed below.
Intel Software Tools Technical Webinar Series
This free webinar series presents tools, tips, and techniques that will help sharpen your development skills on developing and improving your high performance compute applications for multicore and manycore on Intel® Xeon® processors and Intel® Xeon Phi™ coprocessors. Expert technical teams at Intel as well as open source innovators discuss development tools, programming models, vectorization and execution models that will get your development efforts powered up to get the best out of your applications and platforms.
Full schedule and registration information is available here.
XSEDE
The Extreme Science and Engineering Discovery Environment online training mostly lists html tutorials offered at the Cornell University. Offered tutorials cover general programming, scripting, parallel programming (concepts, message passing interface (MPI), openmp), visualisation, code improvement, and other topics.
The XSEDE Training Calendar includes many useful webcasts that are provided by a number of institutions. For most events registration is required.
TACC
Many TACC online training sessions are webcast and are listed in the XSEDE Training Calendar above. Training materials, recordings and webcasts are available from the TACC Course Materials site.