BEGIN:VCALENDAR
VERSION:2.0
PRODID:www.dresden-science-calendar.de
METHOD:PUBLISH
CALSCALE:GREGORIAN
X-MICROSOFT-CALSCALE:GREGORIAN
X-WR-TIMEZONE:Europe/Berlin
BEGIN:VTIMEZONE
TZID:Europe/Berlin
X-LIC-LOCATION:Europe/Berlin
BEGIN:DAYLIGHT
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
DTSTART:19810329T030000
RRULE:FREQ=YEARLY;INTERVAL=1;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
DTSTART:19961027T030000
RRULE:FREQ=YEARLY;INTERVAL=1;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:DSC-22802
DTSTART;VALUE=DATE:20260527
SEQUENCE:1776749946
TRANSP:OPAQUE
DTEND;VALUE=DATE:20260530
URL:https://www.dresden-science-calendar.de/calendar/en/detail/22802
LOCATION:TUD Andreas-Pfitzmann-Bau\, Nöthnitzer Straße 4601069 Dresden
SUMMARY:NHR-Tutorial: MATLAB in HPC 2026
CLASS:PUBLIC
DESCRIPTION:Speaker: \nInstitute of Speaker: \nTopics:\nInformatik\nTime:\n
 9:00 AM-12:00 PM\n\n Location:\n  Name: TUD Andreas-Pfitzmann-Bau (APB\, E
 065)\n  Street: Nöthnitzer Straße 46\n  City: 01069 Dresden\n  Phone: \n
   Fax: \nDescription: <p>MATLAB is a programming and numeric computing pla
 tform used by millions of engineers and scientists to analyze data\, devel
 op algorithms\, and create models. It is developed by MathWorks\, the lead
 ing developer of mathematical computing software for engineers and scienti
 sts. TU Dresden provides all staff and students with free campus-wide MATL
 AB access\, including dedicated toolboxes for various applications.</p> <p
 >With MATLAB and the MATLAB Parallel Server researchers can use the famili
 ar MATLAB environment to run computationally intensive MATLAB programs eff
 iciently on computer clusters. This event will introduce participants who 
 are familiar with the MATLAB environment to the MATLAB Parallel Server and
  show how to run batch jobs\, parallel computations and provide an underst
 anding of the caveats in running in a cluster environment. The event will 
 also show how to use the built-in capabilities for Machine Learning in MAT
 LAB using the MATLAB Parallel Server and show how to do deep learning with
  MATLAB using modern GPUs on a cluster computer through the MATLAB Paralle
 l Server. </p> <p><strong>Agenda</strong></p> <p>Day 1 - Workshop Paralle
 l Computing with MATLAB (https://tu-dresden.de/zih/hochleistungsrechnen/nh
 r-training/application-science/matlab_1-1)</p> <p>Day 2 - Building Scalabl
 e AI Systems with MATLAB and HPC (https://tu-dresden.de/zih/hochleistungsr
 echnen/nhr-training/application-science/matlab_3-1)</p> <p>Day 3 – Softw
 are Development Processes with MATLAB and Simulink (https://tu-dresden.de/
 zih/hochleistungsrechnen/nhr-training/application-science/matlab_4-1)</p> 
 <p><strong>Course language:</strong> English<br> <strong>Cost:</strong> Th
 e course is free of charge.<br> <strong>Target group: </strong>The worksho
 p series is open to all researchers with an interest in leveraging the pow
 er of computer clusters through MATLAB. The workshop series assumes a basi
 c working knowledge of MATLAB. </p> <p><strong>Registration</strong>: htt
 ps://event.zih.tu-dresden.de/Events/view/131 (https://event.zih.tu-dresden
 .de/Events/view/131)<br> Registration is closing on 20/05/2026. The NHR tu
 torial is limited to 60 participants.</p> <p>If you have questions regardi
 ng course content\, please contact Holger Brunst (holger.brunst@tu-dresde
 n.de (mailto:holger.brunst@tu-dresden.de?subject=MATLAB%20NHR%20Tutorials)
 ).</p> <p>If you have questions regarding registration\, please contact Di
 ana Häsener (diana.haesener@tu-dresden.de (mailto:diana.haesener@tu-dresd
 en.de?subject=MATLAB%20NHR%20Tutorials%20Registration)).</p>
X-MICROSOFT-CDO-ALLDAYEVENT:TRUE
DTSTAMP:20260520T232418Z
CREATED:20260401T053832Z
LAST-MODIFIED:20260421T053906Z
END:VEVENT
END:VCALENDAR