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2018 | OriginalPaper | Chapter

SciJava Interface for Parallel Execution in the ImageJ Ecosystem

Authors : Michal Krumnikl, Petr Bainar, Jana Klímová, Jan Kožusznik, Pavel Moravec, Václav Svatoň, Pavel Tomančák

Published in: Computer Information Systems and Industrial Management

Publisher: Springer International Publishing

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Abstract

ImageJ has become a popular software platform for image processing and its community has developed and made available numerous plugins for scientific audiences. Nevertheless, no platform-wide solution for parallel processing of big data has been created so far. As ImageJ is a part of the SciJava collaboration project, we propose the concept of seamlessly integrating parallelization-providing capability into one of the SciJava libraries. Specifically, this approach strives to make high-performance infrastructure accessible to ImageJ plugin developers whilst remaining extensible and technology-agnostic. Two parallelization approaches were created and experimentally evaluated on an HPC infrastructure. The results indicate good scalability and are promising for prospective integration of the created functionality into the SciJava Common library.

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Metadata
Title
SciJava Interface for Parallel Execution in the ImageJ Ecosystem
Authors
Michal Krumnikl
Petr Bainar
Jana Klímová
Jan Kožusznik
Pavel Moravec
Václav Svatoň
Pavel Tomančák
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-319-99954-8_25

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