<p>Parallelization and heterogeneous computing: GPU-accelerated image processing and machine learning</p>

Marcelo Leomil Zoccoler; Robert Haase; Johannes Soltwedel

doi:10.7490/f1000research.1119406.1

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Leomil Zoccoler M, Haase R and Soltwedel J. Parallelization and heterogeneous computing: GPU-accelerated image processing and machine learning [version 1; not peer reviewed]. F1000Research 2023, 12:473 (slides) (https://doi.org/10.7490/f1000research.1119406.1)

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Parallelization and heterogeneous computing: GPU-accelerated image processing and machine learning

Marcelo Leomil Zoccoler¹, Robert Haase, Johannes Soltwedel

Published 09 May 2023 (https://doi.org/10.7490/f1000research.1119406.1)

Author Affiliations

¹ Physics of Life, Technische Universitat Dresden, Dresden, Saxony, Germany

Copyright © 2023 Leomil Zoccoler M et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 09 May 2023

Parallelization and heterogeneous computing: GPU-accelerated image processing and machine learning
[version 1; not peer reviewed]

Marcelo Leomil Zoccoler¹, Robert Haase, Johannes Soltwedel

Author Affiliations

¹ Physics of Life, Technische Universitat Dresden, Dresden, Saxony, Germany

Presented at

NEUBIAS Defragmentation Training School, 2022

Competing Interests

Some of the tools shown were developed by our research group.

Keywords

GPU-acceleration, bio-image analysis, cloud computing, clesperanto, apoc

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