001     1008964
005     20230712203503.0
037 _ _ |a FZJ-2023-02558
041 _ _ |a English
100 1 _ |a Yegenoglu, Alper
|0 P:(DE-Juel1)161462
|b 0
|e Corresponding author
|u fzj
111 2 _ |a Life Science PhD Meeting
|c Innsbruck
|d 2023-04-12 - 2023-04-14
|w Austria
245 _ _ |a Introduction to High Performance Computing
260 _ _ |c 2023
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a Other
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336 7 _ |a INPROCEEDINGS
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336 7 _ |a conferenceObject
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336 7 _ |a LECTURE_SPEECH
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336 7 _ |a Conference Presentation
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502 _ _ |c Medizinische Universität Innsbruck
520 _ _ |a Nowadays, sciences, such as astrophysics, climatology, neuroscience or deep learning, often employ models and simulations that require a lot of compute resources to provide useful results. These simulations cannot be scaled on local computers, like laptops or workstations, as they consume too much compute time and power as well as memory and storage. High performance computing (HPC) systems provide an infrastructure to solve these issues. Simulations which run on HPC systems are able to take advantage of the powerful compute processors and the massively parallel architecture.This workshop introduces state-of-the-art of high performance computing (HPC) to scientists who have little or no background in working with supercomputers and compute clusters.By the end of this workshop, the participants will:· know what an HPC system is and how it differs from a regular computer· understand how an HPC system can help to solve problems· how to submit and manage jobs on an HPC system using a scheduler, transfer files, and use software through modules and installation in a virtual environment.· understand different types of nodes, storage partitions and other compute architectures.
536 _ _ |a 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)
|0 G:(DE-HGF)POF4-5111
|c POF4-511
|f POF IV
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536 _ _ |a HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)
|0 G:(EU-Grant)945539
|c 945539
|f H2020-SGA-FETFLAG-HBP-2019
|x 1
536 _ _ |a JL SMHB - Joint Lab Supercomputing and Modeling for the Human Brain (JL SMHB-2021-2027)
|0 G:(DE-Juel1)JL SMHB-2021-2027
|c JL SMHB-2021-2027
|x 2
536 _ _ |a CSD-SSD - Center for Simulation and Data Science (CSD) - School for Simulation and Data Science (SSD) (CSD-SSD-20190612)
|0 G:(DE-Juel1)CSD-SSD-20190612
|c CSD-SSD-20190612
|x 3
536 _ _ |a PhD no Grant - Doktorand ohne besondere Förderung (PHD-NO-GRANT-20170405)
|0 G:(DE-Juel1)PHD-NO-GRANT-20170405
|c PHD-NO-GRANT-20170405
|x 4
536 _ _ |a SLNS - SimLab Neuroscience (Helmholtz-SLNS)
|0 G:(DE-Juel1)Helmholtz-SLNS
|c Helmholtz-SLNS
|x 5
536 _ _ |a HDS LEE - Helmholtz School for Data Science in Life, Earth and Energy (HDS LEE) (HDS-LEE-20190612)
|0 G:(DE-Juel1)HDS-LEE-20190612
|c HDS-LEE-20190612
|x 6
536 _ _ |a ICEI - Interactive Computing E-Infrastructure for the Human Brain Project (800858)
|0 G:(EU-Grant)800858
|c 800858
|f H2020-SGA-INFRA-FETFLAG-HBP
|x 7
700 1 _ |a van der Vlag, Michiel
|0 P:(DE-Juel1)179447
|b 1
|e Corresponding author
|u fzj
856 4 _ |u https://biomed-phd.i-med.ac.at/life-science-phd-meeting/
909 C O |o oai:juser.fz-juelich.de:1008964
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910 1 _ |a Forschungszentrum Jülich
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910 1 _ |a Forschungszentrum Jülich
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913 1 _ |a DE-HGF
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|l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action
|1 G:(DE-HGF)POF4-510
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|v Enabling Computational- & Data-Intensive Science and Engineering
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914 1 _ |y 2023
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)JSC-20090406
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980 _ _ |a conf
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980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a UNRESTRICTED


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