GPU Programming: CUDA
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F22%3A10250506" target="_blank" >RIV/61989100:27740/22:10250506 - isvavai.cz</a>
Result on the web
<a href="https://events.it4i.cz/event/146/" target="_blank" >https://events.it4i.cz/event/146/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
GPU Programming: CUDA
Original language description
The main goal of the course was to introduce how to program GPU accelerated applications using CUDA programming.We have described the main principles of heterogeneous or accelerated computing (with a short hardware description of the GPU-accelerated supercomputers) needed for a proper understanding of how to design CUDA code.The course was designed for beginners in GPU programming using CUDA. It explained how the parallelisation is done with basic examples, how data transfers are managed between CPU and GPU memory, what types of memory there are in GPU and how to use them, how the parallel threads are executed, and finally, it explained several key parallel computing patterns in CUDA.As the course used the Karolina supercomputer, it was also demonstrated how to write single and multi-GPU applications.
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
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Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů