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Talk54 min

GPU Programming Made Easy with CuPy

Bernardo Abreu Figueiredo · CERN

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About

In scientific environments, Python has become prevalent. At the same time, GPUs have dominated code acceleration use cases in the past years and are used where a large amount of data is processed. This lecture introduces the CuPy library as an easy way to start writing code for GPUs in Python and to accelerate existing applications. The focus is on the capabilities of CuPy through two real-life examples, which demonstrate the versatility of CuPy and its performance improvements for scientific calculations..

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The talk

  1. GPU Programming Made Easy with CuPy 2024-04-15 · 54 min · CERN's player

Credits and licence

Institution
CERN
Department
Inverted CSC
Speaker
Bernardo Abreu Figueiredo
Year
2024
Language
English
Subjects
Computer science
Source
CERN
Licence
CERN, as CERN states it. CERN's terms
Attribution
© CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
Who can watch
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