clEsperanto: GPU-accelerated Image Processing Library
Автор: I2K Conference
Загружено: 2024-11-25
Просмотров: 188
Описание:
clEsperanto: GPU-accelerated Image Processing Library | Stephane Rigaud | October 30th, Virtual I2K 2024
Authors: 1 Stephane Rigaud, Image Analysis Hub, Institut Pasteur, Paris, France
2 Robert Haase, ScaDS.AI, Leipzig, Germany
Description: The clEsperanto project equips users and developers with GPU-accelerated image-processing components. It ships a library with which you will be able to build fast bioImage analysis scripts, by leveraging modern GPUs.
The workshop will offer an overview of the library, thoroughly covering its features, and will also provide an introduction to GPU hardware and its use. Participants will then be guided through the usage of the library in Python, with practical examples and real-world use cases.
You should attend if your job involves building image analysis pipelines. Participants should have a basic understanding of Python and have conda installed on their computer to fully engage with the workshop.
Pre-Workshop Instructions: Have Conda (or Mamba) installed on your computer
Have a minimal knowledge on python code
Keywords: Image Processing, GPU-acceleration, Python
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