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001     1038648
005     20250317091736.0
037 _ _ |a FZJ-2025-01619
041 _ _ |a English
100 1 _ |a Strube, Alexandre
|0 P:(DE-Juel1)140202
|b 0
|e Corresponding author
111 2 _ |a JSC - as part of the Training Programme of Forschungszentrum Jülich
|g JSC
|c Jülich
|d 2024-11-11 - 2024-11-14
|w Germany
245 _ _ |a Deep Learning on Supercomputers
260 _ _ |c 2024
336 7 _ |a lecture
|2 DRIVER
336 7 _ |a Generic
|0 31
|2 EndNote
336 7 _ |a MISC
|2 BibTeX
336 7 _ |a Lecture
|b lecture
|m lecture
|0 PUB:(DE-HGF)17
|s 1738562223_21854
|2 PUB:(DE-HGF)
|x Other
336 7 _ |a LECTURE_SPEECH
|2 ORCID
336 7 _ |a Text
|2 DataCite
520 _ _ |a This course offers the opportunity to attend lectures selectively, based on individual needs and knowledge levels. Participants are not required to attend all sessions as some may cover advanced or basic material. While flexibility is offered, it is important to assess personal needs and choose sessions accordingly, as attending lectures out of order may result in knowledge gaps.Research Centre Jülich provides cutting-edge high-performance computing resources to scientific groups and industry partners across Germany and Europe via the John von Neumann Institute for Computing. To help new users of JSC's supercomputers efficiently leverage their allocated resources, we offer an introductory course that covers system basics and best practices. The course includes theoretical lectures held every afternoon from Monday to Thursday, and practical tutorials offered in the mornings from Tuesday to Thursday. The tutorials are based on the previous afternoon's lectures and allow articipants to put theory into practice. We cover a wide range of topics, starting from basic log-in procedures to intermediate-level techniques. Participants are free to choose the lectures that best match their needs and interests.Topics covered include:User account management with the JuDoor portalSystem access via SSH, Jupyter, and UNICORESystem configuration for JURECA and JUWELSFile systems, I/O, and data managementSoftware modules (compilers, MPI, math libraries, applications, debuggers, tools)Building software from sourceSubmitting jobs via the resource managerUsing GPUsPerformance tuningDeep LearningVisualization
536 _ _ |a 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511)
|0 G:(DE-HGF)POF4-5112
|c POF4-511
|f POF IV
|x 0
536 _ _ |a Helmholtz AI Consultant Team FB Information (E54.303.11)
|0 G:(DE-Juel-1)E54.303.11
|c E54.303.11
|x 1
536 _ _ |0 G:(DE-Juel-1)ATMLAO
|a ATMLAO - ATML Application Optimization and User Service Tools (ATMLAO)
|c ATMLAO
|x 2
700 1 _ |a Zhukov, Ilya
|0 P:(DE-Juel1)144419
|b 1
700 1 _ |a Zjupa, Jolanta
|0 P:(DE-Juel1)192488
|b 2
856 4 _ |u https://strube1.pages.jsc.fz-juelich.de/2024-11-talk-intro-to-supercompting-jsc/#/title-slide
909 C O |o oai:juser.fz-juelich.de:1038648
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910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
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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
|b Key Technologies
|l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action
|1 G:(DE-HGF)POF4-510
|0 G:(DE-HGF)POF4-511
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Enabling Computational- & Data-Intensive Science and Engineering
|9 G:(DE-HGF)POF4-5112
|x 0
914 1 _ |y 2024
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 0
980 _ _ |a lecture
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a UNRESTRICTED

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