BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CERN//INDICO//EN
BEGIN:VEVENT
SUMMARY:XDMoD Usage Reports
DTSTART;VALUE=DATE-TIME:20260713T112500Z
DTEND;VALUE=DATE-TIME:20260713T114000Z
DTSTAMP;VALUE=DATE-TIME:20260711T160139Z
UID:indico-contribution-218-1179@events.grnet.gr
DESCRIPTION:Speakers: Alexandra  Charalambidou (AUTH)\nXDMoD (XD Metrics o
 n Demand) is an open-source web portal that provides comprehensive monitor
 ing and analysis of High Performance Computing (HPC) resource usage.\n\nht
 tps://events.grnet.gr/event/218/contributions/1179/
LOCATION:
URL:https://events.grnet.gr/event/218/contributions/1179/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Open OnDemand: the HPC Web Portal
DTSTART;VALUE=DATE-TIME:20260713T104500Z
DTEND;VALUE=DATE-TIME:20260713T112500Z
DTSTAMP;VALUE=DATE-TIME:20260711T160139Z
UID:indico-contribution-218-1180@events.grnet.gr
DESCRIPTION:Speakers: Alexandra  Charalambidou (AUTH)\, Anastasia  Makri (
 AUTH)\nOpen OnDemand is a web portal application that enables HPC access t
 hrough any modern browser\, eliminating the need for SSH clients or comman
 d-line interfaces. The presentation covers the platform's core capabilitie
 s: file management\, interactive applications like Jupyter and RStudio dir
 ectly on compute nodes\, and a web-based shell. The feature demo showcases
  virtual desktops\, VS Code\, MATLAB\, and customized user experiences for
  different user types. The Project Manager\, a recent feature\, enables re
 searchers to create and organize research projects while building\, submit
 ting\, and monitoring batch jobs through an intuitive interface.\n\nhttps:
 //events.grnet.gr/event/218/contributions/1180/
LOCATION:
URL:https://events.grnet.gr/event/218/contributions/1180/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Practical Slurm: Batch Job Scheduling on HPC clusters
DTSTART;VALUE=DATE-TIME:20260713T100500Z
DTEND;VALUE=DATE-TIME:20260713T104500Z
DTSTAMP;VALUE=DATE-TIME:20260711T160139Z
UID:indico-contribution-218-1181@events.grnet.gr
DESCRIPTION:Speakers: Vasilis  Asteriou (AUTH)\nThis talk introduces Slurm
 \, a scheduling and workload management system for HPC clusters. It explai
 ns how Slurm allocates shared resources among multiple users\, manages job
  queuing\, and enables efficient parallel job execution. The session cover
 s Slurm's multifactor priority scheduling and backfill algorithms that opt
 imize resource utilization. Practical examples demonstrate job submission 
 for various workloads including serial jobs\, multi-core CPU tasks\, MPI p
 arallelization (using Gromacs)\, memory-intensive applications\, GPU compu
 ting\, and licensed software. Key Slurm commands for monitoring and managi
 ng jobs are presented\, providing researchers with essential tools for acc
 essing and optimizing HPC resources on the Aristotle cluster.\n\nhttps://e
 vents.grnet.gr/event/218/contributions/1181/
LOCATION:
URL:https://events.grnet.gr/event/218/contributions/1181/
END:VEVENT
BEGIN:VEVENT
SUMMARY:HPC at the Aristotle University of Thessaloniki
DTSTART;VALUE=DATE-TIME:20260713T095000Z
DTEND;VALUE=DATE-TIME:20260713T100500Z
DTSTAMP;VALUE=DATE-TIME:20260711T160139Z
UID:indico-contribution-218-1182@events.grnet.gr
DESCRIPTION:Speakers: Paschalis  Korosoglou (AUTH)\nThis opening session w
 elcomes participants to the HPC training program and sets the stage for th
 e sessions that follow. We outline the structure and goals of the program\
 , introduce the topics covered across the individual talks and tutorials\,
  and provide guidance on how to get the most out of the training. Particip
 ants get a brief overview of what High Performance Computing is\, why it m
 atters for modern research and industry\, and what skills they will develo
 p by the end of the program. We also introduce the Aristotle HPC cluster a
 t AUTH serving more than 12 research departments and supporting over 100 s
 cientific publications since 2018\, as the primary platform on which the h
 ands-on exercises will be carried out. The training overall requires no pr
 ior HPC experience and is suitable for all participants regardless of back
 ground.\n\nhttps://events.grnet.gr/event/218/contributions/1182/
LOCATION:
URL:https://events.grnet.gr/event/218/contributions/1182/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Introduction to High Performance Computing
DTSTART;VALUE=DATE-TIME:20260713T091000Z
DTEND;VALUE=DATE-TIME:20260713T095000Z
DTSTAMP;VALUE=DATE-TIME:20260711T160139Z
UID:indico-contribution-218-1184@events.grnet.gr
DESCRIPTION:Speakers: Nikolaos Bakas (GRNET)\nThis talk introduces High Pe
 rformance Computing (HPC) as a foundation for modern AI and scientific wor
 kloads. It explains how clusters combine CPUs\, GPUs\, nodes\, memory\, ne
 tworking\, storage\, and job schedulers to run demanding computations effi
 ciently. The session covers parallel computing concepts such as cores\, th
 reads\, tasks\, data and task parallelism\, then moves into scaling\, spee
 dup\, efficiency\, strong and weak scaling\, Amdahl’s Law\, and Gustafso
 n’s Law. It also presents key HPC programming models\, including OpenMP\
 , MPI\, GPUs\, and CUDA\, before highlighting leading European supercomput
 ers and EuroHPC access routes for researchers and industry. Practical exam
 ples help link theory to real workloads.\n\nhttps://events.grnet.gr/event/
 218/contributions/1184/
LOCATION:
URL:https://events.grnet.gr/event/218/contributions/1184/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Introduction to EuroCC 3 & the training events
DTSTART;VALUE=DATE-TIME:20260713T090000Z
DTEND;VALUE=DATE-TIME:20260713T091000Z
DTSTAMP;VALUE=DATE-TIME:20260711T160139Z
UID:indico-contribution-218-1185@events.grnet.gr
DESCRIPTION:Speakers: Nikolaos Bakas (GRNET)\nhttps://events.grnet.gr/even
 t/218/contributions/1185/
LOCATION:
URL:https://events.grnet.gr/event/218/contributions/1185/
END:VEVENT
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