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SUMMARY:[ONLINE] Introduction to HPC (EuroCC)
DTSTART:20260603T070000Z
DTEND:20260605T110000Z
DTSTAMP:20260512T213600Z
UID:indico-event-397@events.it4i.cz
CONTACT:training@it4i.cz
DESCRIPTION: \nAnnotation\nThis training is designed to equip participant
 s with essential knowledge and skills to utilize the IT4Innovations (IT4I)
  supercomputing infrastructure effectively. Covering a spectrum of topics 
 ranging from HPC system architecture to performance analysis basics\, part
 icipants will gain insights into accessing\, utilizing\, and optimizing th
 eir computational workflows on high-performance clusters. Experienced inst
 ructors will facilitate each session\, offering theoretical insights and h
 ands-on exercises. Participants are encouraged to engage actively to maxim
 ize their learning experience. Registered participants will receive access
  to the HPC infrastructure.\nTarget Audience and Purpose of the Course:\nT
 his course is primarily crafted for application users with prior experienc
 e on smaller platforms\, such as desktops\, who now seek to leverage HPC c
 apabilities to address problems surpassing the capabilities of their curre
 nt resources. These users\, often scientists from diverse fields\, may not
  be developers of the applications they employ but require a deeper unders
 tanding of the underlying processes\, particularly parallelization.\nThe c
 ourse aims to offer participants an introduction to the key aspects of HPC
 \, with a specific focus on the practices at IT4I\, addressing their perti
 nent queries along the way. \nLevel\nbeginner\nLanguage\nEnglish\nAgenda\
 n1. HPC systems architecture and IT4I architecture introduction  \nBrief 
 introduction to the High-Performance Computing (HPC) in the world and in t
 he Czech Republic. Presenting hardware architecture of the contemporary HP
 C systems\, and basics every HPC user should know\, such as scalability\, 
 top500\, path to exascale\, or EPI. \n2. Accessing and using IT4I cluster
 s\nFirst login.How to get your data to the cluster.How to log in to the cl
 uster and prepare a computation environment.How to submit computational jo
 bs. \n3. Code development on the cluster\nRemote development on the clust
 er.Compiling and building software tools and custom code.  \n4. Parallel 
 Programming Basics \nThis section briefly describes how to run parallel a
 pplications that use threads and MPI. And\, how to set the environment var
 iables for a hybrid run to utilize the provided hardware efficiently. \n5
 . Leveraging accelerated hardware (GPUs)\nIn the GPU section of the course
 \, attendees will understand the place of today’s GPUs in HPC. Their arc
 hitecture will be introduced and compared with CPUs. Several GPU programmi
 ng models will be briefly introduced\, focusing on CUDA\, and including a 
 few hands-on exercises. \n6. Performance Analysis Basics\nWhy should we c
 are about performance? This section will answer the question\, introduce y
 ou to the basic concepts of a performance analysis\, provide an overview o
 f performance tools\, and show how to start using them.\nTutors\nFilip Vav
 erka holds a PhD degree in Computer Science from Brno University of Techno
 logy\, Czech Republic. He is currently a member of the Infrastructure Rese
 arch Lab at IT4Innovations National Supercomputing Center. His research fo
 cuses on highly scalable pseudo-spectral methods\, accelerated and heterog
 eneous parallel computing. \nOndřej Meca holds a PhD degree in Computer 
 Science from VSB—Technical University of Ostrava\, Czech Republic. He is
  currently a member of the Infrastructure Research Lab at IT4Innovations N
 ational Supercomputing Center. His research interests include verifying pa
 rallel algorithms\, developing pre/post-processing algorithms for large-sc
 ale engineering problems\, and developing highly scalable linear solvers.
  \nRadim Vavřík is a researcher in the Infrastructure Research Lab at I
 T4Innovations. He is interested in parallel computing\, scalable algorithm
 s design\, GPU acceleration\, code optimization\, and performance analysis
 . He worked on a hydrological and flood modelling software\, a high-perfor
 mance heterogeneous platform for energy-efficient computing\, a GPU accele
 ration of a highly parallel FEM library\, and as a performance analyst in 
 several EU CoEs and projects\, including POP2\, POP3\, SPACE\, and SCALABL
 E.  \nAcknowledgements\n\nThis work was supported by the EUROCC3 project
  under grant agreement No 101306701. The project is supported by the Europ
 ean High-Performance Computing Joint Undertaking and its members (includin
 g top-up funding by the Ministry of Education\, Youth and Sports of the Cz
 ech Republic)\n \n\nThis course was supported by the Ministry of Educatio
 n\, Youth and Sports of the Czech Republic through the e-INFRA CZ (ID:9025
 4).\n \nAll presentations and educational materials of this course are pr
 ovided under the Creative Commons Attribution-ShareAlike 4.0 International
  (CC BY-SA 4.0) license.\n\nhttps://events.it4i.cz/event/397/
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LOCATION:ZOOM (ONLINE)
URL:https://events.it4i.cz/event/397/
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