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SUMMARY:Programmation GPU with CUDA Python
DTSTART:20261105T120000Z
DTEND:20261105T160000Z
DTSTAMP:20261030T102300Z
UID:indico-event-601@events.hpc-portal.eu
DESCRIPTION:\nDo you use Python for your calculations and want to take thi
 ngs further by harnessing the power of GPUs?\nThis course offers you the c
 hance to discover GPU programming with CUDA Python and Numba\, so you can 
 speed up your calculations and develop your own CUDA kernels.\nWhat’s on
  the programme:\n\nUnderstand the basics of CUDA and GPU architecture.\nDi
 scover CUDA Python with Numba.\nCreate your own custom CUDA kernels.\nLear
 n how to manage memory efficiently.\nPut these concepts into practice dire
 ctly on the GPUs of the ROMEO2025 supercomputer\n\n \nWhy take part?\n\nL
 earn how to harness the power of GPUs from within Python.\nSpeed up the ex
 ecution of your scientific and technical applications.\n\n \nTarget audie
 nce:\nThis course is aimed at engineers\, researchers and students wishing
  to develop or optimise their computations using GPUs.\n \nPrerequisites:
 \n\nProficiency in Python\, particularly the NumPy library. If you do not 
 have this\, you can take free courses to get started with Python. These co
 urses include:\nLearn the basics of the Python language – OpenClassrooms
 \nGet started with Python for data analysis – OpenClassrooms\nFamiliarit
 y with the basic concepts of linear algebra\, including vectors\, matrices
  and matrix multiplication.\n\n\n\nhttps://events.hpc-portal.eu/event/601/
URL:https://events.hpc-portal.eu/event/601/
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