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DTSTAMP:20260718T233820Z
UID:c14ed4bf-0ebf-4557-a767-35df67f93795
DTSTART:20261013T083000Z
DTEND:20261015T120000Z
DESCRIPTION:A practical introduction to High Performance Computing (HPC) fo
 r researchers working with computationally demanding analyses and large da
 tasets.\n\nHigh Performance Computing systems are widely used in fields su
 ch as bioinformatics\, machine learning\, image analysis and large-scale d
 ata processing. This course introduces the core concepts needed to work ef
 fectively on HPC systems\, including accessing remote servers\, managing f
 iles\, running analyses and scheduling jobs using SLURM.\n\nParticipants l
 earn how HPC systems are organised\, how to interact with them using the U
 nix command line and how to develop efficient workflows for computational 
 research.\n\nBy the end of the course\, participants should be able to:\n\
 n* describe what an HPC system is and how it differs from a standard compu
 ter\n* distinguish between login nodes and compute nodes\n* connect to and
  work on remote HPC systems using the command line\n* transfer files to an
 d from HPC systems using graphical and command-line tools\n* understand th
 e role of job schedulers and computational resource management\n* submit a
 nd monitor jobs using the SLURM scheduler\n* use SLURM job arrays to paral
 lelise similar analyses efficiently\n* apply HPC workflows to their own co
 mputational research projects\n\nThe course is highly practical\, combinin
 g presentations\, demonstrations and hands-on exercises throughout.\n\n\n 
      Book this event or register interest\n      This event is not yet ope
 n for booking. Please choose the section that applies to you.\n      \n   
    University of Cambridge member\n      Register interest\n      External
  participant\n      Register interest\n      \n      \n\n== Intended audie
 nce ==\n\nThis course is suitable for:\n\n* researchers and students who n
 eed to run computationally intensive analyses\n* participants working with
  bioinformatics\, machine learning\, image analysis or large datasets\n* r
 esearchers interested in learning how to use remote Linux servers and HPC 
 systems\n* participants who currently run demanding analyses on personal c
 omputers and want to scale their workflows\n* researchers who have complet
 ed introductory Unix training and want to extend those skills to HPC envir
 onments\n\n== Course fees ==\n\nAll fees are per full training day.\n\n{| 
 class="wikitable"\n|-\n! Category\n! Fee\n|-\n| Industry full charge\n| £
 130.00\n|-\n| Academic / Government / charity concessionary\n| £65.00\n|-
 \n| Cambridge University staff members / postdocs / visitors\n| £65.00\n|
 -\n| Cambridge University registered students\n| Free\n|-\n| Cambridge Uni
 versity registered students non-attendance\n| £22.00\n|-\n| Special event
 s\n| Per event\n|}\n\nPayment options will be provided in booking confirma
 tion emails sent after registration.\n\n[More details…](https://bioinfot
 raining.bio.cam.ac.uk/postgraduate/eligibility)\n\n== General information 
 ==\n\nMore detailed information is available on our dedicated [cancellatio
 n and non-attendance policy](https://bioinfotraining.bio.cam.ac.uk/cancell
 ation-and-non-attendance)\, [waiting list](https://bioinfotraining.bio.cam
 .ac.uk/waiting-list)\, [accessibility](https://bioinfotraining.bio.cam.ac.
 uk/accessibility-support)\, [privacy policies](https://bioinfotraining.bio
 .cam.ac.uk/privacy-and-cookie-policies) and [terms &amp\; conditions](http
 s://bioinfotraining.bio.cam.ac.uk/https%3A/bioinfotraining.bio.cam.ac.uk/e
 vents/terms-and-conditions) pages.\n\nGuidance on visiting Cambridge and f
 inding accommodation is available [here](https://bioinfotraining.bio.cam.a
 c.uk/about).
LOCATION:Craik-Marshall Building
SUMMARY:Working on HPC clusters (ONLINE LIVE TRAINING)
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/6429245
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