HPC in Data Science: Introduction to Parallel Programming
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F22%3A10251861" target="_blank" >RIV/61989100:27740/22:10251861 - isvavai.cz</a>
Result on the web
<a href="https://sctrain.eu/course/hpc-parallel/" target="_blank" >https://sctrain.eu/course/hpc-parallel/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
HPC in Data Science: Introduction to Parallel Programming
Original language description
The course focused on parallel programming with the Message Passing Interface (MPI), OpenMP and CUDA. A general introduction into HPC and its benefits was presented and the different parallel programming paradigms were duly explained allowing participants to write parallel applications that can fully exploit modern HPC hardware.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů