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SUMMARY:Parallel Data Analysis with R
DTSTART:20261118T120000Z
DTEND:20261118T161500Z
DTSTAMP:20261109T202800Z
UID:indico-event-4311@indico.ijs.si
CONTACT:eurocc@sling.si
DESCRIPTION:\nThis course is organised in collaboration with Euro Czechia 
 and EuroCC Slovenia.\nAnnotation\nThis training is focused on different ap
 proaches to how the R code can be parallelised\, going from a local and si
 ngle-node approach with the parallel package to multi-node parallelisation
  with the Rmpi package. \nThe second part is focused on increasing the ef
 ficiency of computation by introducing Rcpp for seamless integration of C+
 + code into R code.\nBenefits for the attendees\, what will they learn:\n\
 n\nLearn how to accelerate R computations on multicore workstations and HP
 C systems using R parallel programming frameworks and best practices.\n\n\
 nDevelop scalable and reproducible data-analysis workflows that run effici
 ently on laptops and Slurm-based supercomputers.\n\n\nPerformance optimisa
 tion techniques include vectorisation\, parallel processing\, compiled C++
  code with Rcpp\, and efficient data management with modern tools.\n\n\nGa
 in hands-on experience with real-world computational workloads\, such as l
 arge-scale data analysis.\n\n\nPrerequisites:\n\n\nBasic programming skill
 s in R.\n\n\nFamiliarity with fundamental R concepts\, including vectors\,
  data frames\, functions\, and package management.\n\n\nExperience with ba
 sic data analysis tasks such as data manipulation\, visualisation\, or sta
 tistical modelling in R. \n\n\nBasic understanding of computer architectu
 re concepts (CPU cores\, memory\, processes) is beneficial but not require
 d.\n\n\nPrior experience with Linux or HPC systems is helpful\, but no pre
 vious knowledge is assumed.\n\n\nTechnical requirements\nParticipants shou
 ld have a laptop and internet access.\nLevel\nintermediate\nLanguage\nEngl
 ish\nTutors\nprof. dr. Janez Povh is a professor of mathematics at the Un
 iversity of Ljubljana and director at Rudolfovo – Science and Technology
  Centre\, Novo mesto. He holds BSc\, MSc and PhD in Mathematics. His resea
 rch work focuses on (i) the development of methods and tools for solving c
 omplex optimisation problems\, and on (ii) the analysis and modelling of b
 ig data. Due to the high computational complexity of these areas\, his wor
 k strongly relies on using supercomputers and quantum computers. He uses t
 he best available supercomputers in the EU and some of the few available q
 uantum computers\, especially those based on quantum annealing.\n\n \nTom
 áš Martinovič obtained his Ph.D. in computational sciences at IT4Innova
 tions\, VSB - Technical University of Ostrava in 2018. From 2015 to 2018 h
 e worked in a team focused on the analysis of complex dynamical systems\, 
 where he worked on scalable implementations of algorithms from the field o
 f nonlinear time series analysis. Since the start of 2022\, he leads a tea
 m focused on machine learning/AI and operations research with the defined 
 objective of research and transfer of knowledge in cooperation with indust
 ry.\n\n \n\n\n \n\nProjekt EuroCC 3 je prejel sredstva Skupnega podjetj
 a za evropsko visokozmogljivo računalništvo (EuroHPC JU) na podlagi Spo
 razuma o dodelitvi sredstev št. 101306701. Skupno podjetje EuroHPC prejem
 a podporo programa Evropske unije Digitalna Evropa ter naslednjih držav
 : Nemčije\, Albanije\, Avstrije\, Belgije\, Bosne in Hercegovine\, Bolgar
 ije\, Hrvaške\, Cipra\, Češke\, Danske\, Estonije\, Finske\, Francije\,
  Grčije\, Madžarske\, Islandije\, Irske\, Italije\, Latvije\, Litve\, Lu
 ksemburga\, Malte\, Črne gore\, Nizozemske\, Severne Makedonije\, Norveš
 ke\, Poljske\, Portugalske\, Romunije\, Srbije\, Slovaške\, Slovenije\, 
 Španije\, Švedske\, Turčije in Kosova.Financira Evropska unija. Izraže
 na stališča in mnenja so izključno stališča avtorjev ter ne odražajo
  nujno stališč Evropske unije ali Skupnega podjetja EuroHPC. Zanje ne mo
 reta biti odgovorna niti Evropska unija niti Skupno podjetje EuroHPC.Nacio
 nalni kompetenčni center SLING sofinancira Ministrstvo za izobraževanje\
 , znanost in mladino Republike Slovenije.HPC in Europe je krovna znamka\, 
 ki združuje evropske pobude na področju visokozmogljivega računalništv
 a v več kot 36 državah.\n \n\n \n\nhttps://indico.ijs.si/event/4311/
LOCATION:ZOOM
URL:https://indico.ijs.si/event/4311/
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