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SUMMARY:[ONLINE] Parallel Data Analysis with R
DTSTART:20261118T120000Z
DTEND:20261118T160000Z
DTSTAMP:20261113T124500Z
UID:indico-event-419@events.it4i.cz
CONTACT:training@it4i.cz
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 b
 asic data analysis tasks such as data manipulation\, visualisation\, or st
 atistical modelling in R. \n\n\nBasic understanding of computer architect
 ure concepts (CPU cores\, memory\, processes) is beneficial but not requir
 ed. \n\n\nPrior experience with Linux or HPC systems is helpful\, but no p
 revious knowledge is assumed.\n\n\nTechnical requirements\nParticipants sh
 ould have a laptop and internet access.\nLevel\nintermediate\nLanguage\nEn
 glish\nTutors\nprof. dr. Janez Povh is a professor of mathematics at the 
 University of Ljubljana and director at Rudolfovo – Science and Technolo
 gy Centre\, Novo mesto. He holds BSc\, MSc and PhD in Mathematics. His res
 earch work focuses on (i) the development of methods and tools for solving
  complex optimisation problems\, and on (ii) the analysis and modelling of
  big data. Due to the high computational complexity of these areas\, his w
 ork strongly relies on using supercomputers and quantum computers. He uses
  the best available supercomputers in the EU and some of the few available
  quantum computers\, especially those based on quantum annealing.\n\n \nT
 omáš Martinovič obtained his Ph.D. in computational sciences at IT4Inno
 vations\, VSB - Technical University of Ostrava in 2018. From 2015 to 2018
  he worked in a team focused on the analysis of complex dynamical systems\
 , where he worked on scalable implementations of algorithms from the field
  of nonlinear time series analysis. Since the start of 2022\, he leads a t
 eam focused on machine learning/AI and operations research with the define
 d objective of research and transfer of knowledge in cooperation with indu
 stry.\n\nAcknowledgements\n\nEuroCC 3 has received funding from the Europe
 an High-Performance Computing Joint Undertaking (JU) under Grant Agreement
  No. 101306701. The JU receives support from European Union‘s Digital Eu
 rope Programme and Germany\, Albania\, Austria\, Belgium\, Bosnia and Herz
 egovina\, Bulgaria\, Croatia\, Cyprus\, Czechia\, Denmark\, Estonia\, Finl
 and\, France\, Greece\, Hungary\, Iceland\, Ireland\, Italy\, Latvia\, Lit
 huania\, Luxembourg\, Malta\, Montenegro\, Netherlands\, North Macedonia\,
  Norway\, Poland\, Portugal\, Romania\, Serbia\, Slovakia\, Slovenia\, Spa
 in\, Sweden\, Türkiye\, Kosovo. The EuroCC 3 project received funding fro
 m the Ministry of Education\, Youth and Sports of the Czech Republic.\n \
 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 p
 resentations and educational materials of this course are provided under t
 he Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0
 ) license.\n\nhttps://events.it4i.cz/event/419/
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LOCATION:ZOOM (ONLINE)
URL:https://events.it4i.cz/event/419/
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