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Parallel Image Blurring With Fork/Join Framework
PUBLISHED May 08, 2024 (DOI: https://doi.org/10.54985/peeref.2405p5970967)
NOT PEER REVIEWED
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Authors
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Fatima Inamdar1 , Manas Patil1 , Pankaj Shinde1 , Rushikesh Kshirsagar1 , Abhishek Navhal1
- Vishwakarma Institute of Information Technology
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Conference / event
- High Performance Computing Presentation, April 2024 (Virtual)
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Poster summary
- By using Java's Fork/ Join Framework which uses stealing algorithm for efficient distribution of task, image blurring task is distributed among the worker threads.
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Keywords
- Fork/Join Framework, Java, Image processing, Parallel computing
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Research areas
- Computer and Information Science
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References
- No data provided
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Funding
- No data provided
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Supplemental files
- No data provided
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Additional information
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- Competing interests
- No competing interests were disclosed.
- Data availability statement
- Data sharing not applicable to this poster as no datasets were generated or analyzed during the current study.
- Creative Commons license
- Copyright © 2024 Inamdar 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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Inamdar, F., Patil, M., Shinde, P., Kshirsagar, R., Navhal, A. Parallel Image Blurring With Fork/Join Framework [not peer reviewed]. Peeref 2024 (poster).
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