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SUMMARY:[ONLINE] Introduction to HPC (EuroCC)
DTSTART:20260603T070000Z
DTEND:20260605T110000Z
DTSTAMP:20260714T001400Z
UID:indico-event-397@events.it4i.cz
CONTACT:training@it4i.cz
DESCRIPTION:\nAnnotation\nThis training is designed to equip participants 
 with essential knowledge and skills to utilize the IT4Innovations (IT4I) s
 upercomputing infrastructure effectively. Covering a spectrum of topics ra
 nging from HPC system architecture to performance analysis basics\, partic
 ipants will gain insights into accessing\, utilizing\, and optimizing thei
 r computational workflows on high-performance clusters. Experienced instru
 ctors will facilitate each session\, offering theoretical insights and han
 ds-on exercises. Participants are encouraged to engage actively to maximiz
 e their learning experience. Registered participants will receive access t
 o the HPC infrastructure.\nTarget Audience and Purpose of the Course:\nThi
 s course is primarily crafted for application users with prior experience 
 on smaller platforms\, such as desktops\, who now seek to leverage HPC cap
 abilities to address problems surpassing the capabilities of their current
  resources. These users\, often scientists from diverse fields\, may not b
 e developers of the applications they employ but require a deeper understa
 nding of the underlying processes\, particularly parallelization.\nThe cou
 rse aims to offer participants an introduction to the key aspects of HPC\,
  with a specific focus on the practices at IT4I\, addressing their pertine
 nt queries along the way. \nLevel\nbeginner\nLanguage\nEnglish\nAgenda\n1
 . HPC systems architecture and IT4I architecture introduction  \nBrief in
 troduction to the High-Performance Computing (HPC) in the world and in the
  Czech Republic. Presenting hardware architecture of the contemporary HPC 
 systems\, and basics every HPC user should know\, such as scalability\, to
 p500\, path to exascale\, or EPI. \n2. Accessing and using IT4I clusters\
 nFirst login.How to get your data to the cluster.How to log in to the clus
 ter and prepare a computation environment.How to submit computational jobs
 . \n3. Code development on the cluster\nRemote development on the cluster
 .Compiling and building software tools and custom code.  \n4. Parallel Pr
 ogramming Basics \nThis section briefly describes how to run parallel app
 lications that use threads and MPI. And\, how to set the environment varia
 bles 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 archi
 tecture will be introduced and compared with CPUs. Several GPU programming
  models will be briefly introduced\, focusing on CUDA\, and including a fe
 w hands-on exercises. \n6. Performance Analysis Basics\nWhy should we car
 e about performance? This section will answer the question\, introduce you
  to the basic concepts of a performance analysis\, provide an overview of 
 performance tools\, and show how to start using them.\nTutors\nFilip Vaver
 ka holds a PhD degree in Computer Science from Brno University of Technolo
 gy\, Czech Republic. He is currently a member of the Infrastructure Resear
 ch Lab at IT4Innovations National Supercomputing Center. His research focu
 ses on highly scalable pseudo-spectral methods\, accelerated and heterogen
 eous parallel computing. \nOndřej Meca holds a PhD degree in Computer Sc
 ience from VSB—Technical University of Ostrava\, Czech Republic. He is c
 urrently a member of the Infrastructure Research Lab at IT4Innovations Nat
 ional Supercomputing Center. His research interests include verifying para
 llel algorithms\, developing pre/post-processing algorithms for large-scal
 e engineering problems\, and developing highly scalable linear solvers. \
 nRadim Vavřík is a researcher in the Infrastructure Research Lab at IT4I
 nnovations. He is interested in parallel computing\, scalable algorithms d
 esign\, GPU acceleration\, code optimization\, and performance analysis. H
 e worked on a hydrological and flood modelling software\, a high-performan
 ce heterogeneous platform for energy-efficient computing\, a GPU accelerat
 ion of a highly parallel FEM library\, and as a performance analyst in sev
 eral EU CoEs and projects\, including POP2\, POP3\, SPACE\, and SCALABLE.
   \nAcknowledgements\n\nThis work was supported by the EUROCC3 project u
 nder grant agreement No 101306701. The project is supported by the Europea
 n High-Performance Computing Joint Undertaking and its members (including 
 top-up funding by the Ministry of Education\, Youth and Sports of the Czec
 h Republic)\n \n\nThis course was supported by the Ministry of Education\
 , Youth and Sports of the Czech Republic through the e-INFRA CZ (ID:90254)
 .\n \nAll presentations and educational materials of this course are prov
 ided 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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