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DTSTAMP:20260719T084855Z
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DTSTART:20191211T080000Z
DTEND:20191212T150000Z
DESCRIPTION:Efficient Use of HPC Systems\n\n11 - 12 December 2019\n\nDescri
 ption\n\nThe purpose of this course  is to present to existing and potent
 ial users of PRACE HPC systems an introduction on how to efficiently use t
 hese systems\,their typical tools\, software environment\, compilers\, lib
 raries\, MPI/OpenMP\, batch system\, etc.\n\nThe trainees will learn what 
 the HPC systems offer\, how they work and how to apply for access to these
  infrastructures - both PRACE Tier-1 and Tier-0.\n\nPrerequisites\n\nThe c
 ourse addresses to any potential user of an HPC infrastructure.  Backgro
 und in modules\, compilers\, MPI/OpenMP/Cuda\, batch systems\, running tim
 e consuming applications is desirable.\n\nBring your own laptop in order t
 o be able to participate in the training hands on. Hands on work will be d
 one in pairs so if you don’t have a laptop you might work with a colleag
 ue. \n\nCourse language is English.\n\nRegistration\n\nThe maximum number 
 of participants is 25. \n\nRegistrations will be evaluated on a first-come
 \, first-served basis. GRNET is responsible for the selection of the parti
 cipants on the basis of the training requirements and the technical skills
  of the candidates. GRNET will also seek to guarantee the maximum possibl
 e geographical coverage with the participation of candidates from many cou
 ntries.\n\nVenue\n\nGRNET headquarters\n\nAddress: 2nd  Floor\, 7\, Kifis
 ias Av. GR 115 23 Athens\n\nInformation on how to reach GRNET headquarters
  ia available on GRNET website: https://grnet.gr/en/contact-us/  \n\nAcc
 ommodation options near GRNET can be found at: https://grnet.gr/wp-content
 /uploads/sites/13/2015/11/Hotels-near-GRNET-en.pdf\n\nARIS - System Inform
 ation\n\nARIS is the name of the Greek supercomputer\, deployed and operat
 ed by GRNET (Greek Research and Technology Network) in Athens. ARIS consis
 ts of 532 computational nodes seperated in four “islands” as listed he
 re:\n\n\n	\n	426 thin nodes: Regular compute nodes without accelerator.\n	
 \n	\n	44 gpu nodes: “2 x NVIDIA Tesla k40m” accelerated nodes.\n	\n	\n
 	18 phi nodes: “2 x INTEL Xeon Phi 7120p” accelerated nodes.\n	\n	\n	4
 4 fat nodes: Fat compute nodes have larger number of cores and memory per 
 core than a thin node.\n	\n	\n	1 ml node: Machine Learning node consisting
  of 1 server\, containing 2 Intel E5-2698v4 processors\, 512 GB of central
  memory and 8 NVIDIA V100 GPU card\n	\n\n\nAll the nodes are connected via
  Infiniband network and share 2PB GPFS storage.The infrastructure also has
  an IBM TS3500 library of maximum storage capacity of about 6 PB. Access t
 o the system is provided by two login nodes. \n\nAbout Tutors\n\nDr. Delli
 s (Male) holds a B.Sc. in Chemistry (1990) and PhD in Computational Chemis
 try (1995) from the National and Kapodistrian University of Athens\, Greec
 e. He has extensive HPC and grid computing experience. He was using HPC sy
 stems in computational chemistry research projects on fz-juelich machines 
 (2003-2005). He received an HPC-Europa grant on BSC (2009). In EGEE/EGI pr
 ojects he acted as application support and VO software manager for SEE VO\
 , grid sites administrator (HG-02\, GR-06)\, NGI_GRNET support staff (2008
 -2014). In PRACE 1IP/2IP/3IP/4IP/5IP he was involved in benchmarking tasks
  either as group member or as BCO (2010-2018). Currently he is leader of t
 he HPC team at GRNET S.A.\n\nKyriakos Ginis received his Diploma in Electr
 ical and Computer Engineering in 2003 from the National Technical Universi
 ty of Athens\, Greece. Between 2004 and 2014 he participated in the europe
 an projects EGEE I/II/III and EGI as a grid site administrator of the Hell
 asGrid sites HG-01-GRNET\, HG-06-EKT and HG-08-Okeanos. Since 2014 he work
 s at GRNET as a system administrator of the ARIS HPC system\, primarily re
 sponsible for hardware\, operating systems and file/storage systems. He co
 ntinues maintaining the HellasGrid sites HG-06 and HG-08\, and supports ot
 her GRNET services such as the unique and persistent identifiers (PID)\nse
 rvice\, also part of the EUDAT project.\n\nNikoloutsakos Nikolaos holds a 
 diploma of Engineering in Computer Engineering and Informatics (2014) from
  the University of Patras\, Greece. From 2015 he works as software enginee
 r at GRNET S.A. where he is part of the user application support team for 
 the ARIS HPC system. He has been involved in major national and European p
 rojects\, such as PRACE and EUDAT. His main research interests include par
 allel programming models\, co-processor programming using GPUs and Intel 
 Xeon Phis.\n\nAbout GRNET\n\nGRNET – National Infrastructures for Resear
 ch and Technology\, is the national network\, cloud computing and IT e-Inf
 rastructure and services provider. It supports hundreds of thousands of us
 ers in the key areas of Research\, Education\, Health and Culture.\n\nGRNE
 T provides an integrated environment of cutting-edge technologies integrat
 ing a country-wide dark fiber network\, data centers\, a high performance 
 computing system and Internet\, cloud computing\, high-performance computi
 ng\, authentication and authorization services\, security services\, as we
 ll as audio\, voice and video services.\n\nGRNET scientific and advisory d
 uties address the areas of information technology\, digital technologies\,
  communications\, e-government\, new technologies and their applications\,
  research and development\, education\, as well as the promotion of Digita
 l Transformation.\n\nThrough international partnerships and the coordinati
 on of EC co-funded projects\, it creates opportunities for know-how develo
 pment and exploitation\, and contributes\, in a decisive manner\, to the d
 evelopment of Research and Science in Greece and abroad.\n\nNational Infra
 structures for Research and Technology – Networking Research and Educat
 ion\n\nwww.grnet.gr\, hpc.grnet.gr\nhttps://events.prace-ri.eu/event/945/
SUMMARY:Efficient Use of HPC Systems @GRNET
URL;VALUE=URI:https://events.prace-ri.eu/event/945/
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